diff --git a/Cargo.lock b/Cargo.lock index 470fbfb..6934b26 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -283,9 +283,9 @@ dependencies = [ [[package]] name = "bindgen" -version = "0.71.1" +version = "0.72.1" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "5f58bf3d7db68cfbac37cfc485a8d711e87e064c3d0fe0435b92f7a407f9d6b3" +checksum = "993776b509cfb49c750f11b8f07a46fa23e0a1386ffc01fb1e7d343efc387895" dependencies = [ "bitflags", "cexpr", @@ -4494,23 +4494,24 @@ dependencies = [ [[package]] name = "whisper-rs" -version = "0.15.1" +version = "0.16.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "71ea5d2401f30f51d08126a2d133fee4c1955136519d7ac6cf6f5ac0a91e6bc8" +checksum = "2088172d00f936c348d6a72f488dc2660ab3f507263a195df308a3c2383229f6" dependencies = [ "whisper-rs-sys", ] [[package]] name = "whisper-rs-sys" -version = "0.14.1" +version = "0.15.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "b5e2a6e06e7ac7b8f53c53a5f50bb0bc823ba69b63ecd887339f807a5598bbd2" +checksum = "6986c0fe081241d391f09b9a071fbcbb59720c3563628c3c829057cf69f2a56f" dependencies = [ "bindgen", "cfg-if", "cmake", "fs_extra", + "semver", ] [[package]] diff --git a/cortex-mem-service/src/main.rs b/cortex-mem-service/src/main.rs index 13fb3f9..d98b24c 100644 --- a/cortex-mem-service/src/main.rs +++ b/cortex-mem-service/src/main.rs @@ -25,7 +25,7 @@ struct Cli { data_dir: String, /// Server host - #[arg(long, default_value = "127.0.0.1")] + #[arg(long, default_value = "localhost")] host: String, /// Server port diff --git a/examples/@memclaw/bin-darwin-arm64/.gitattributes b/examples/@memclaw/bin-darwin-arm64/.gitattributes new file mode 100644 index 0000000..ca2fc43 --- /dev/null +++ b/examples/@memclaw/bin-darwin-arm64/.gitattributes @@ -0,0 +1 @@ +bin/* filter=lfs diff=lfs merge=lfs -text diff --git a/examples/@memclaw/bin-darwin-arm64/.gitignore b/examples/@memclaw/bin-darwin-arm64/.gitignore new file mode 100644 index 0000000..91cda48 --- /dev/null +++ b/examples/@memclaw/bin-darwin-arm64/.gitignore @@ -0,0 +1,5 @@ +# Dependencies +node_modules/ + +# Build artifacts +*.tsbuildinfo diff --git a/examples/@memclaw/bin-darwin-arm64/bin/README.md b/examples/@memclaw/bin-darwin-arm64/bin/README.md new file mode 100644 index 0000000..7ec724a --- /dev/null +++ b/examples/@memclaw/bin-darwin-arm64/bin/README.md @@ -0,0 +1,22 @@ +# MemClaw Binaries for macOS Apple Silicon + +Place the following binaries in this directory: + +- `qdrant` - Qdrant vector database +- `cortex-mem-service` - Cortex Memory HTTP service +- `cortex-mem-cli` - Cortex Memory CLI tool + +## Build from source + +```bash +# In cortex-mem project root +cargo build --release --target aarch64-apple-darwin + +# Copy binaries +cp target/aarch64-apple-darwin/release/cortex-mem-service bin/ +cp target/aarch64-apple-darwin/release/cortex-mem-cli bin/ +``` + +## Download Qdrant + +Download from: https://github.com/qdrant/qdrant/releases diff --git a/examples/@memclaw/bin-darwin-arm64/bin/cortex-mem-cli b/examples/@memclaw/bin-darwin-arm64/bin/cortex-mem-cli new file mode 100755 index 0000000..1ce137e --- /dev/null +++ b/examples/@memclaw/bin-darwin-arm64/bin/cortex-mem-cli @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b15bd57c2165fb884c0cf88dd53cd737b09408fd4e7b23b07b8cf3ce4e34dd8d +size 18292816 diff --git a/examples/@memclaw/bin-darwin-arm64/bin/cortex-mem-service b/examples/@memclaw/bin-darwin-arm64/bin/cortex-mem-service new file mode 100755 index 0000000..fb8deea --- /dev/null +++ b/examples/@memclaw/bin-darwin-arm64/bin/cortex-mem-service @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c4bdc7455b025b170325967d559ba10a652bb09eb462443cd29cd81696264c5a +size 17431216 diff --git a/examples/@memclaw/bin-darwin-arm64/bin/qdrant b/examples/@memclaw/bin-darwin-arm64/bin/qdrant new file mode 100644 index 0000000..d5626d2 --- /dev/null +++ b/examples/@memclaw/bin-darwin-arm64/bin/qdrant @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dccb9eb8fac8a8bb3cad10ade931c4f61ceeed4723c6442193ffe2e970b9c844 +size 64870688 diff --git a/examples/@memclaw/bin-darwin-arm64/package.json b/examples/@memclaw/bin-darwin-arm64/package.json new file mode 100644 index 0000000..a89376b --- /dev/null +++ b/examples/@memclaw/bin-darwin-arm64/package.json @@ -0,0 +1,21 @@ +{ + "name": "@memclaw/bin-darwin-arm64", + "version": "0.1.0", + "description": "MemClaw binaries for macOS Apple Silicon", + "os": [ + "darwin" + ], + "cpu": [ + "arm64" + ], + "files": [ + "bin/" + ], + "author": "Sopaco", + "license": "MIT", + "repository": { + "type": "git", + "url": "https://github.com/sopaco/cortex-mem.git", + "directory": "examples/@memclaw/bin-darwin-arm64" + } +} diff --git a/examples/@memclaw/bin-win-x64/.gitattributes b/examples/@memclaw/bin-win-x64/.gitattributes new file mode 100644 index 0000000..5135af0 --- /dev/null +++ b/examples/@memclaw/bin-win-x64/.gitattributes @@ -0,0 +1 @@ +*.exe filter=lfs diff=lfs merge=lfs -text diff --git a/examples/@memclaw/bin-win-x64/.gitignore b/examples/@memclaw/bin-win-x64/.gitignore new file mode 100644 index 0000000..91cda48 --- /dev/null +++ b/examples/@memclaw/bin-win-x64/.gitignore @@ -0,0 +1,5 @@ +# Dependencies +node_modules/ + +# Build artifacts +*.tsbuildinfo diff --git a/examples/@memclaw/bin-win-x64/bin/README.md b/examples/@memclaw/bin-win-x64/bin/README.md new file mode 100644 index 0000000..62324ee --- /dev/null +++ b/examples/@memclaw/bin-win-x64/bin/README.md @@ -0,0 +1,22 @@ +# MemClaw Binaries for Windows x64 + +Place the following binaries in this directory: + +- `qdrant.exe` - Qdrant vector database +- `cortex-mem-service.exe` - Cortex Memory HTTP service +- `cortex-mem-cli.exe` - Cortex Memory CLI tool + +## Build from source + +```powershell +# In cortex-mem project root +cargo build --release --target x86_64-pc-windows-msvc + +# Copy binaries +copy target\x86_64-pc-windows-msvc\release\cortex-mem-service.exe bin\ +copy target\x86_64-pc-windows-msvc\release\cortex-mem-cli.exe bin\ +``` + +## Download Qdrant + +Download from: https://github.com/qdrant/qdrant/releases diff --git a/examples/@memclaw/bin-win-x64/bin/cortex-mem-cli.exe b/examples/@memclaw/bin-win-x64/bin/cortex-mem-cli.exe new file mode 100644 index 0000000..0cfb6c1 --- /dev/null +++ b/examples/@memclaw/bin-win-x64/bin/cortex-mem-cli.exe @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:89ad96c99c0dcb0444d0ae9a7207360d59e76e1791bc56f419a6c3c93a37b250 +size 17488384 diff --git a/examples/@memclaw/bin-win-x64/bin/cortex-mem-service.exe b/examples/@memclaw/bin-win-x64/bin/cortex-mem-service.exe new file mode 100644 index 0000000..deabf32 --- /dev/null +++ b/examples/@memclaw/bin-win-x64/bin/cortex-mem-service.exe @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:49af474a007fe67a2c42a7b177b7b3577ce56095013bfebee12f062425730d7b +size 16015360 diff --git a/examples/@memclaw/bin-win-x64/bin/qdrant.exe b/examples/@memclaw/bin-win-x64/bin/qdrant.exe new file mode 100644 index 0000000..7941560 --- /dev/null +++ b/examples/@memclaw/bin-win-x64/bin/qdrant.exe @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cbebdfbf4c38d469755a83df7109b3c9fb42e6f1f1e9177e2e6ede4e8f85511e +size 79816704 diff --git a/examples/@memclaw/bin-win-x64/package.json b/examples/@memclaw/bin-win-x64/package.json new file mode 100644 index 0000000..dd80f70 --- /dev/null +++ b/examples/@memclaw/bin-win-x64/package.json @@ -0,0 +1,21 @@ +{ + "name": "@memclaw/bin-win-x64", + "version": "0.1.0", + "description": "MemClaw binaries for Windows x64", + "os": [ + "win32" + ], + "cpu": [ + "x64" + ], + "files": [ + "bin/" + ], + "author": "Sopaco", + "license": "MIT", + "repository": { + "type": "git", + "url": "https://github.com/sopaco/cortex-mem.git", + "directory": "examples/@memclaw/bin-win-x64" + } +} diff --git a/examples/cortex-mem-openclaw/.gitignore b/examples/cortex-mem-openclaw/.gitignore deleted file mode 100644 index c2658d7..0000000 --- a/examples/cortex-mem-openclaw/.gitignore +++ /dev/null @@ -1 +0,0 @@ -node_modules/ diff --git a/examples/cortex-mem-openclaw/README.md b/examples/cortex-mem-openclaw/README.md deleted file mode 100644 index af2b722..0000000 --- a/examples/cortex-mem-openclaw/README.md +++ /dev/null @@ -1,190 +0,0 @@ -# Cortex Memory Plugin for OpenClaw - -English | [中文](./README_zh.md) - -A plugin that provides layered semantic memory capabilities for OpenClaw, supporting L0/L1/L2 tiered retrieval. - -## Features - -- **Layered Semantic Search**: L0 (Abstract) → L1 (Overview) → L2 (Full Content) tiered retrieval -- **Automatic Vectorization**: Messages are automatically embedded for semantic similarity search -- **Session Isolation**: Supports independent memory spaces across multiple sessions -- **HTTP API**: Communicates with the core service via cortex-mem-service REST API - -## Prerequisites - -1. **cortex-mem-service** running - ```bash - # From cortex-mem project root - cargo run -p cortex-mem-service -- --data-dir ./cortex-data - ``` - -2. **Qdrant Vector Database** (optional, for vector search) -3. **Embedding Service** (OpenAI-compatible API) - -## Installation - -### Option 1: Local Link Installation (Development Mode) - -```bash -# From cortex-mem project root -cd examples/cortex-mem-openclaw - -# Install dependencies and build -npm install -npm run build - -# Link to OpenClaw -openclaw plugins install --link $(pwd) -``` - -### Option 2: Install from npm (After Publishing) - -```bash -openclaw plugins install @cortex-mem/openclaw-plugin -``` - -## Configuration - -Add the following to your OpenClaw configuration file (`~/.openclaw/openclaw.json` or project directory): - -```json -{ - "plugins": { - "entries": { - "cortex-mem": { - "enabled": true, - "config": { - "serviceUrl": "http://127.0.0.1:8085", - "tenantId": "tenant_claw", - "defaultSessionId": "default", - "searchLimit": 10, - "minScore": 0.6 - } - } - } - } -} -``` - -### Configuration Reference - -| Parameter | Type | Default | Description | -|-----------|------|---------|-------------| -| `serviceUrl` | string | `http://127.0.0.1:8085` | HTTP endpoint of cortex-mem-service | -| `tenantId` | string | `tenant_claw` | Tenant identifier for data isolation (Qdrant collection & filesystem) | -| `defaultSessionId` | string | `default` | Default session ID | -| `searchLimit` | integer | 10 | Maximum number of search results | -| `minScore` | number | 0.6 | Minimum relevance score threshold | - -## Tools - -### cortex_search - -Layered semantic search returning relevant memory snippets. - -```json -{ - "query": "user preferences settings", - "scope": "session-123", // optional, limits search scope - "limit": 10, - "min_score": 0.6 -} -``` - -Response: -```json -{ - "results": [ - { - "uri": "cortex://session/abc/timeline/2026-03/11/10_30_00_xxx.md", - "score": 0.89, - "snippet": "User prefers dark theme..." - } - ], - "total": 1 -} -``` - -### cortex_recall - -Layered memory recall with configurable detail levels. - -```json -{ - "query": "project architecture decisions", - "layers": ["L0", "L1"], // L0=Abstract, L1=Overview, L2=Full Content - "scope": "session-123", - "limit": 5 -} -``` - -### cortex_add_memory - -Add a memory to a specific session. - -```json -{ - "content": "User selected PostgreSQL as the primary database", - "role": "assistant", // user/assistant/system - "session_id": "session-123" // optional, uses defaultSessionId if not specified -} -``` - -### cortex_list_sessions - -List all memory sessions. - -```json -{} -``` - -Response: -```json -{ - "sessions": [ - { - "thread_id": "session-123", - "status": "active", - "message_count": 42, - "created_at": "2026-03-11T10:00:00Z" - } - ] -} -``` - -## Architecture - -``` -OpenClaw Gateway - │ - ▼ -cortex-mem-plugin (TypeScript) - │ - ▼ HTTP REST -cortex-mem-service (Rust) - │ - ├─► Qdrant (Vector Store) - ├─► CortexFilesystem (File Store) - └─► LLM (Layer Generation) -``` - -## Development - -```bash -# Install dependencies -npm install - -# Development mode (watch compilation) -npm run dev - -# Build -npm run build - -# Run tests -npm test -``` - -## License - -MIT diff --git a/examples/cortex-mem-openclaw/README_zh.md b/examples/cortex-mem-openclaw/README_zh.md deleted file mode 100644 index 4daa21d..0000000 --- a/examples/cortex-mem-openclaw/README_zh.md +++ /dev/null @@ -1,190 +0,0 @@ -# Cortex Memory Plugin for OpenClaw - -[English](./README.md) | 中文 - -为 OpenClaw 提供层级语义记忆能力的插件，支持 L0/L1/L2 三层检索。 - -## 功能特性 - -- **层级语义搜索**：L0（摘要）→ L1（概览）→ L2（完整内容）逐层检索 -- **自动向量化**：消息自动生成向量嵌入，支持语义相似度搜索 -- **会话隔离**：支持多会话独立记忆空间 -- **HTTP API**：通过 cortex-mem-service REST API 与核心服务通信 - -## 前置条件 - -1. **cortex-mem-service** 运行中 - ```bash - # 在 cortex-mem 项目根目录 - cargo run -p cortex-mem-service -- --data-dir ./cortex-data - ``` - -2. **Qdrant 向量数据库**（可选，用于向量搜索） -3. **Embedding 服务**（OpenAI 兼容 API） - -## 安装 - -### 方式一：本地链接安装（开发模式） - -```bash -# 在 cortex-mem 项目根目录 -cd examples/cortex-mem-openclaw - -# 安装依赖并构建 -npm install -npm run build - -# 链接到 OpenClaw -openclaw plugins install --link $(pwd) -``` - -### 方式二：npm 发布后安装 - -```bash -openclaw plugins install @cortex-mem/openclaw-plugin -``` - -## 配置 - -在 OpenClaw 配置文件（`~/.openclaw/openclaw.json` 或项目目录）中添加： - -```json -{ - "plugins": { - "entries": { - "cortex-mem": { - "enabled": true, - "config": { - "serviceUrl": "http://127.0.0.1:8085", - "tenantId": "tenant_claw", - "defaultSessionId": "default", - "searchLimit": 10, - "minScore": 0.6 - } - } - } - } -} -``` - -### 配置说明 - -| 参数 | 类型 | 默认值 | 说明 | -|------|------|--------|------| -| `serviceUrl` | string | `http://127.0.0.1:8085` | cortex-mem-service 的 HTTP 端点 | -| `tenantId` | string | `tenant_claw` | 租户隔离标识，用于 Qdrant collection 与文件系统隔离 | -| `defaultSessionId` | string | `default` | 默认会话 ID | -| `searchLimit` | integer | 10 | 搜索结果最大数量 | -| `minScore` | number | 0.6 | 最小相关性分数阈值 | - -## 工具说明 - -### cortex_search - -层级语义搜索，返回相关记忆片段。 - -```json -{ - "query": "用户偏好设置", - "scope": "session-123", // 可选，限定搜索范围 - "limit": 10, - "min_score": 0.6 -} -``` - -返回： -```json -{ - "results": [ - { - "uri": "cortex://session/abc/timeline/2026-03/11/10_30_00_xxx.md", - "score": 0.89, - "snippet": "用户偏好深色主题..." - } - ], - "total": 1 -} -``` - -### cortex_recall - -分层召回记忆，支持指定返回层级。 - -```json -{ - "query": "项目架构决策", - "layers": ["L0", "L1"], // L0=摘要, L1=概览, L2=完整内容 - "scope": "session-123", - "limit": 5 -} -``` - -### cortex_add_memory - -向指定会话添加记忆。 - -```json -{ - "content": "用户选择了 PostgreSQL 作为主数据库", - "role": "assistant", // user/assistant/system - "session_id": "session-123" // 可选，默认使用 defaultSessionId -} -``` - -### cortex_list_sessions - -列出所有记忆会话。 - -```json -{} -``` - -返回： -```json -{ - "sessions": [ - { - "thread_id": "session-123", - "status": "active", - "message_count": 42, - "created_at": "2026-03-11T10:00:00Z" - } - ] -} -``` - -## 架构 - -``` -OpenClaw Gateway - │ - ▼ -cortex-mem-plugin (TypeScript) - │ - ▼ HTTP REST -cortex-mem-service (Rust) - │ - ├─► Qdrant (向量存储) - ├─► CortexFilesystem (文件存储) - └─► LLM (层级生成) -``` - -## 开发 - -```bash -# 安装依赖 -npm install - -# 开发模式（监视编译） -npm run dev - -# 构建 -npm run build - -# 运行测试 -npm test -``` - -## 许可证 - -MIT diff --git a/examples/cortex-mem-openclaw/bun.lock b/examples/cortex-mem-openclaw/bun.lock deleted file mode 100644 index 742c957..0000000 --- a/examples/cortex-mem-openclaw/bun.lock +++ /dev/null @@ -1,2157 +0,0 @@ -{ - "lockfileVersion": 1, - "configVersion": 1, - "workspaces": { - "": { - "name": "@cortex-mem/openclaw-plugin", - "devDependencies": { - "@types/node": "^22.0.0", - 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} -} diff --git a/examples/cortex-mem-openclaw/dist/client.d.ts b/examples/cortex-mem-openclaw/dist/client.d.ts deleted file mode 100644 index 21a1034..0000000 --- a/examples/cortex-mem-openclaw/dist/client.d.ts +++ /dev/null @@ -1,90 +0,0 @@ -/** - * Cortex Memory API Client - * - * HTTP client for cortex-mem-service REST API - */ -export interface SearchRequest { - query: string; - thread?: string; - limit?: number; - min_score?: number; -} -export interface SearchResult { - uri: string; - score: number; - snippet: string; - content?: string; - source: string; -} -export interface SessionResponse { - thread_id: string; - status: string; - message_count: number; - created_at: string; - updated_at: string; -} -export interface CreateSessionRequest { - thread_id?: string; - title?: string; - user_id?: string; - agent_id?: string; -} -export interface AddMessageRequest { - role: 'user' | 'assistant' | 'system'; - content: string; -} -export type ContextLayer = 'L0' | 'L1' | 'L2'; -export interface LayeredRecallResult { - uri: string; - score: number; - abstract?: string; - overview?: string; - content?: string; -} -/** - * Cortex Memory API Client - */ -export declare class CortexMemClient { - private baseUrl; - constructor(baseUrl?: string); - /** - * Layered semantic search (L0 -> L1 -> L2 tiered retrieval) - */ - search(request: SearchRequest): Promise; - /** - * Quick search returning only L0 abstracts - */ - find(query: string, scope?: string, limit?: number): Promise; - /** - * Layered recall with specified detail level - * - * @param query - Search query - * @param layers - Which layers to return (L0, L1, L2) - * @param scope - Optional session/thread scope - * @param limit - Maximum results - */ - recall(query: string, layers?: ContextLayer[], scope?: string, limit?: number): Promise; - /** - * List all sessions - */ - listSessions(): Promise; - /** - * Create a new session - */ - createSession(request?: CreateSessionRequest): Promise; - /** - * Add a message to a session - */ - addMessage(threadId: string, message: AddMessageRequest): Promise; - /** - * Close a session - */ - closeSession(threadId: string): Promise; - /** - * Health check - */ - healthCheck(): Promise; - private get; - private post; -} -//# sourceMappingURL=client.d.ts.map \ No newline at end of file diff --git a/examples/cortex-mem-openclaw/dist/client.d.ts.map b/examples/cortex-mem-openclaw/dist/client.d.ts.map deleted file mode 100644 index 39669c2..0000000 --- a/examples/cortex-mem-openclaw/dist/client.d.ts.map +++ /dev/null @@ -1 +0,0 @@ -{"version":3,"file":"client.d.ts","sourceRoot":"","sources":["../src/client.ts"],"names":[],"mappings":"AAAA;;;;GAIG;AAWH,MAAM,WAAW,aAAa;IAC5B,KAAK,EAAE,MAAM,CAAC;IACd,MAAM,CAAC,EAAE,MAAM,CAAC;IAChB,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,SAAS,CAAC,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,YAAY;IAC3B,GAAG,EAAE,MAAM,CAAC;IACZ,KAAK,EAAE,MAAM,CAAC;IACd,OAAO,EAAE,MAAM,CAAC;IAChB,OAAO,CAAC,EAAE,MAAM,CAAC;IACjB,MAAM,EAAE,MAAM,CAAC;CAChB;AAGD,MAAM,WAAW,eAAe;IAC9B,SAAS,EAAE,MAAM,CAAC;IAClB,MAAM,EAAE,MAAM,CAAC;IACf,aAAa,EAAE,MAAM,CAAC;IACtB,UAAU,EAAE,MAAM,CAAC;IACnB,UAAU,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,oBAAoB;IACnC,SAAS,CAAC,EAAE,MAAM,CAAC;IACnB,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,OAAO,CAAC,EAAE,MAAM,CAAC;IACjB,QAAQ,CAAC,EAAE,MAAM,CAAC;CACnB;AAED,MAAM,WAAW,iBAAiB;IAChC,IAAI,EAAE,MAAM,GAAG,WAAW,GAAG,QAAQ,CAAC;IACtC,OAAO,EAAE,MAAM,CAAC;CACjB;AAGD,MAAM,MAAM,YAAY,GAAG,IAAI,GAAG,IAAI,GAAG,IAAI,CAAC;AAE9C,MAAM,WAAW,mBAAmB;IAClC,GAAG,EAAE,MAAM,CAAC;IACZ,KAAK,EAAE,MAAM,CAAC;IACd,QAAQ,CAAC,EAAE,MAAM,CAAC;IAClB,QAAQ,CAAC,EAAE,MAAM,CAAC;IAClB,OAAO,CAAC,EAAE,MAAM,CAAC;CAClB;AAED;;GAEG;AACH,qBAAa,eAAe;IAC1B,OAAO,CAAC,OAAO,CAAS;gBAEZ,OAAO,GAAE,MAAgC;IAIrD;;OAEG;IACG,MAAM,CAAC,OAAO,EAAE,aAAa,GAAG,OAAO,CAAC,YAAY,EAAE,CAAC;IAK7D;;OAEG;IACG,IAAI,CAAC,KAAK,EAAE,MAAM,EAAE,KAAK,CAAC,EAAE,MAAM,EAAE,KAAK,GAAE,MAAU,GAAG,OAAO,CAAC,YAAY,EAAE,CAAC;IASrF;;;;;;;OAOG;IACG,MAAM,CACV,KAAK,EAAE,MAAM,EACb,MAAM,GAAE,YAAY,EAAW,EAC/B,KAAK,CAAC,EAAE,MAAM,EACd,KAAK,GAAE,MAAW,GACjB,OAAO,CAAC,mBAAmB,EAAE,CAAC;IAoBjC;;OAEG;IACG,YAAY,IAAI,OAAO,CAAC,eAAe,EAAE,CAAC;IAKhD;;OAEG;IACG,aAAa,CAAC,OAAO,GAAE,oBAAyB,GAAG,OAAO,CAAC,eAAe,CAAC;IAKjF;;OAEG;IACG,UAAU,CAAC,QAAQ,EAAE,MAAM,EAAE,OAAO,EAAE,iBAAiB,GAAG,OAAO,CAAC,MAAM,CAAC;IAQ/E;;OAEG;IACG,YAAY,CAAC,QAAQ,EAAE,MAAM,GAAG,OAAO,CAAC,eAAe,CAAC;IAQ9D;;OAEG;IACG,WAAW,IAAI,OAAO,CAAC,OAAO,CAAC;YAUvB,GAAG;YAYH,IAAI;CAiBnB"} \ No newline at end of file diff --git a/examples/cortex-mem-openclaw/dist/client.js b/examples/cortex-mem-openclaw/dist/client.js deleted file mode 100644 index 14a29f2..0000000 --- a/examples/cortex-mem-openclaw/dist/client.js +++ /dev/null @@ -1,132 +0,0 @@ -"use strict"; -/** - * Cortex Memory API Client - * - * HTTP client for cortex-mem-service REST API - */ -Object.defineProperty(exports, "__esModule", { value: true }); -exports.CortexMemClient = void 0; -/** - * Cortex Memory API Client - */ -class CortexMemClient { - baseUrl; - constructor(baseUrl = 'http://127.0.0.1:8085') { - this.baseUrl = baseUrl.replace(/\/$/, ''); - } - /** - * Layered semantic search (L0 -> L1 -> L2 tiered retrieval) - */ - async search(request) { - const response = await this.post('/api/v2/search', request); - return response; - } - /** - * Quick search returning only L0 abstracts - */ - async find(query, scope, limit = 5) { - return this.search({ - query, - thread: scope, - limit, - min_score: 0.5, - }); - } - /** - * Layered recall with specified detail level - * - * @param query - Search query - * @param layers - Which layers to return (L0, L1, L2) - * @param scope - Optional session/thread scope - * @param limit - Maximum results - */ - async recall(query, layers = ['L0'], scope, limit = 10) { - // First do search to get URIs - const searchResults = await this.search({ - query, - thread: scope, - limit, - }); - // For now, return search results with snippets - // In a full implementation, we would make additional calls - // to get L1 overview and L2 content based on requested layers - return searchResults.map(result => ({ - uri: result.uri, - score: result.score, - abstract: result.snippet, // L0 from snippet - overview: undefined, // Would need additional API call - content: result.content, // L2 if available - })); - } - /** - * List all sessions - */ - async listSessions() { - const response = await this.get('/api/v2/sessions'); - return response; - } - /** - * Create a new session - */ - async createSession(request = {}) { - const response = await this.post('/api/v2/sessions', request); - return response; - } - /** - * Add a message to a session - */ - async addMessage(threadId, message) { - const response = await this.post(`/api/v2/sessions/${threadId}/messages`, message); - return response; - } - /** - * Close a session - */ - async closeSession(threadId) { - const response = await this.post(`/api/v2/sessions/${threadId}/close`, {}); - return response; - } - /** - * Health check - */ - async healthCheck() { - try { - const response = await fetch(`${this.baseUrl}/health`); - return response.ok; - } - catch { - return false; - } - } - // Private helpers - async get(path) { - const response = await fetch(`${this.baseUrl}${path}`); - if (!response.ok) { - throw new Error(`API error: ${response.status} ${response.statusText}`); - } - const data = await response.json(); - if (!data.success) { - throw new Error(data.error || 'API request failed'); - } - return data.data; - } - async post(path, body) { - const response = await fetch(`${this.baseUrl}${path}`, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify(body), - }); - if (!response.ok) { - throw new Error(`API error: ${response.status} ${response.statusText}`); - 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* Cortex Memory Plugin for OpenClaw - * - * Provides layered semantic memory with L0/L1/L2 tiered retrieval. - * - * Installation: - * openclaw plugins install @cortex-mem/openclaw-plugin - * - * Configuration (in openclaw.json): - * { - * "plugins": { - * "entries": { - * "cortex-mem": { - * "enabled": true, - * "config": { - * "serviceUrl": "http://127.0.0.1:8085", - * "tenantId": "tenant_claw", - * "defaultSessionId": "default", - * "searchLimit": 10, - * "minScore": 0.6 - * } - * } - * } - * } - * } - */ -interface PluginLogger { - debug?: (msg: string, ...args: unknown[]) => void; - info: (msg: string, ...args: unknown[]) => void; - warn: (msg: string, ...args: unknown[]) => void; - error: (msg: string, ...args: unknown[]) => void; -} -interface ToolDefinition { - name: string; - description: string; - /** - * JSON Schema for tool inputs. - * OpenClaw uses 'parameters', NOT 'inputSchema'. - */ - parameters: object; - /** - * Tool execution function. - * OpenClaw uses 'execute(_id, params)', NOT 'handler(args)'. - */ - execute: (_id: string, params: Record) => Promise; - /** Optional: mark tool as opt-in (not auto-enabled) */ - optional?: boolean; -} -interface PluginAPI { - /** - * Plugin-specific configuration from openclaw.json - * Access via api.pluginConfig, NOT api.getConfig() - */ - pluginConfig?: Record; - registerTool(tool: ToolDefinition, opts?: { - optional?: boolean; - }): void; - logger: PluginLogger; -} -export default function cortexMemPlugin(api: PluginAPI): { - id: string; - name: string; - version: string; -}; -export declare const plugin: { - id: string; - name: string; - version: string; - configSchema: { - type: string; - properties: { - serviceUrl: { - type: string; - default: string; - }; - defaultSessionId: { - type: string; - default: string; - }; - searchLimit: { - type: string; - default: number; - }; - minScore: { - type: string; - default: number; - }; - tenantId: { - type: string; - default: string; - }; - }; - required: string[]; - }; - register(api: PluginAPI): { - id: string; - name: string; - version: string; - }; -}; -export {}; -//# sourceMappingURL=index.d.ts.map \ No newline at end of file diff --git a/examples/cortex-mem-openclaw/dist/index.d.ts.map b/examples/cortex-mem-openclaw/dist/index.d.ts.map deleted file mode 100644 index fa8eaf2..0000000 --- a/examples/cortex-mem-openclaw/dist/index.d.ts.map +++ /dev/null @@ -1 +0,0 @@ -{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;;;;;;;;;;;GAyBG;AAeH,UAAU,YAAY;IACpB,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,MAAM,EAAE,GAAG,IAAI,EAAE,OAAO,EAAE,KAAK,IAAI,CAAC;IAClD,IAAI,EAAE,CAAC,GAAG,EAAE,MAAM,EAAE,GAAG,IAAI,EAAE,OAAO,EAAE,KAAK,IAAI,CAAC;IAChD,IAAI,EAAE,CAAC,GAAG,EAAE,MAAM,EAAE,GAAG,IAAI,EAAE,OAAO,EAAE,KAAK,IAAI,CAAC;IAChD,KAAK,EAAE,CAAC,GAAG,EAAE,MAAM,EAAE,GAAG,IAAI,EAAE,OAAO,EAAE,KAAK,IAAI,CAAC;CAClD;AAED,UAAU,cAAc;IACtB,IAAI,EAAE,MAAM,CAAC;IACb,WAAW,EAAE,MAAM,CAAC;IACpB;;;OAGG;IACH,UAAU,EAAE,MAAM,CAAC;IACnB;;;OAGG;IACH,OAAO,EAAE,CAAC,GAAG,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,KAAK,OAAO,CAAC,OAAO,CAAC,CAAC;IAC5E,uDAAuD;IACvD,QAAQ,CAAC,EAAE,OAAO,CAAC;CACpB;AAGD,UAAU,SAAS;IACjB;;;OAGG;IACH,YAAY,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IACvC,YAAY,CAAC,IAAI,EAAE,cAAc,EAAE,IAAI,CAAC,EAAE;QAAE,QAAQ,CAAC,EAAE,OAAO,CAAA;KAAE,GAAG,IAAI,CAAC;IACxE,MAAM,EAAE,YAAY,CAAC;CACtB;AAGD,MAAM,CAAC,OAAO,UAAU,eAAe,CAAC,GAAG,EAAE,SAAS;;;;EAgOrD;AAGD,eAAO,MAAM,MAAM;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;kBAeH,SAAS;;;;;CAGxB,CAAC"} \ No newline at end of file diff --git a/examples/cortex-mem-openclaw/dist/index.js b/examples/cortex-mem-openclaw/dist/index.js deleted file mode 100644 index 9897ccb..0000000 --- a/examples/cortex-mem-openclaw/dist/index.js +++ /dev/null @@ -1,253 +0,0 @@ -"use strict"; -/** - * Cortex Memory Plugin for OpenClaw - * - * Provides layered semantic memory with L0/L1/L2 tiered retrieval. - * - * Installation: - * openclaw plugins install @cortex-mem/openclaw-plugin - * - * Configuration (in openclaw.json): - * { - * "plugins": { - * "entries": { - * "cortex-mem": { - * "enabled": true, - * "config": { - * "serviceUrl": "http://127.0.0.1:8085", - * "tenantId": "tenant_claw", - * "defaultSessionId": "default", - * "searchLimit": 10, - * "minScore": 0.6 - * } - * } - * } - * } - * } - */ -Object.defineProperty(exports, "__esModule", { value: true }); -exports.plugin = void 0; -exports.default = cortexMemPlugin; -const client_js_1 = require("./client.js"); -const tools_js_1 = require("./tools.js"); -// Export plugin as a default function — matches OpenClaw's resolvePluginModuleExport behavior -function cortexMemPlugin(api) { - const config = (api.pluginConfig ?? {}); - const serviceUrl = config.serviceUrl ?? 'http://127.0.0.1:8085'; - const defaultSessionId = config.defaultSessionId ?? 'default'; - const searchLimit = config.searchLimit ?? 10; - const minScore = config.minScore ?? 0.6; - const tenantId = config.tenantId ?? 'tenant_claw'; - const client = new client_js_1.CortexMemClient(serviceUrl); - api.logger.info('Cortex Memory plugin initializing...'); - api.logger.info(`Service URL: ${serviceUrl}`); - api.logger.info(`Tenant ID: ${tenantId}`); - // Switch to the configured tenant on startup - fetch(`${serviceUrl}/api/v2/tenants/switch`, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ tenant_id: tenantId }), - }) - .then(res => { - if (res.ok) { - api.logger.info(`✅ Switched to tenant: ${tenantId}`); - } - else { - api.logger.warn(`Failed to switch tenant (${res.status}): ${tenantId}`); - } - }) - .catch(err => { - api.logger.warn(`Tenant switch request failed: ${err instanceof Error ? err.message : String(err)}`); - }); - // Register cortex_search tool - api.registerTool({ - name: tools_js_1.toolSchemas.cortex_search.name, - description: tools_js_1.toolSchemas.cortex_search.description, - parameters: tools_js_1.toolSchemas.cortex_search.inputSchema, - execute: async (_id, params) => { - const input = params; - try { - const results = await client.search({ - query: input.query, - thread: input.scope, - limit: input.limit ?? searchLimit, - min_score: input.min_score ?? minScore, - }); - const formattedResults = results - .map((r, i) => `${i + 1}. [Score: ${r.score.toFixed(2)}] ${r.snippet}\n URI: ${r.uri}`) - .join('\n\n'); - return { - content: `Found ${results.length} results for "${input.query}":\n\n${formattedResults}`, - results: results.map(r => ({ - uri: r.uri, - score: r.score, - snippet: r.snippet, - })), - total: results.length, - }; - } - catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_search failed: ${message}`); - return { error: `Search failed: ${message}` }; - } - }, - }); - // Register cortex_recall tool - api.registerTool({ - name: tools_js_1.toolSchemas.cortex_recall.name, - description: tools_js_1.toolSchemas.cortex_recall.description, - parameters: tools_js_1.toolSchemas.cortex_recall.inputSchema, - execute: async (_id, params) => { - const input = params; - try { - const results = await client.recall(input.query, input.layers ?? ['L0'], input.scope, input.limit ?? 5); - const layerLabels = { - L0: 'Abstract', - L1: 'Overview', - L2: 'Full Content', - }; - const requestedLayers = input.layers ?? ['L0']; - const formattedResults = results - .map((r, i) => { - let content = `${i + 1}. [Score: ${r.score.toFixed(2)}] URI: ${r.uri}\n`; - if (requestedLayers.includes('L0') && r.abstract) { - content += ` [${layerLabels['L0']}]: ${r.abstract}\n`; - } - if (requestedLayers.includes('L1') && r.overview) { - content += ` [${layerLabels['L1']}]: ${r.overview.substring(0, 500)}...\n`; - } - if (requestedLayers.includes('L2') && r.content) { - content += ` [${layerLabels['L2']}]: ${r.content.substring(0, 500)}...\n`; - } - return content; - }) - .join('\n'); - return { - content: `Recalled ${results.length} memories:\n\n${formattedResults}`, - results, - total: results.length, - }; - } - catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_recall failed: ${message}`); - return { error: `Recall failed: ${message}` }; - } - }, - }); - // Register cortex_add_memory tool - api.registerTool({ - name: tools_js_1.toolSchemas.cortex_add_memory.name, - description: tools_js_1.toolSchemas.cortex_add_memory.description, - parameters: tools_js_1.toolSchemas.cortex_add_memory.inputSchema, - execute: async (_id, params) => { - const input = params; - try { - const sessionId = input.session_id ?? defaultSessionId; - const result = await client.addMessage(sessionId, { - role: input.role ?? 'user', - content: input.content, - }); - return { - content: `Memory stored successfully in session "${sessionId}".\nResult: ${result}`, - success: true, - message_uri: result, - }; - } - catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_add_memory failed: ${message}`); - return { error: `Failed to add memory: ${message}` }; - } - }, - }); - // Register cortex_list_sessions tool - api.registerTool({ - name: tools_js_1.toolSchemas.cortex_list_sessions.name, - description: tools_js_1.toolSchemas.cortex_list_sessions.description, - parameters: tools_js_1.toolSchemas.cortex_list_sessions.inputSchema, - execute: async (_id, _params) => { - try { - const sessions = await client.listSessions(); - if (sessions.length === 0) { - return { content: 'No sessions found.' }; - } - const formattedSessions = sessions - .map((s, i) => { - const created = new Date(s.created_at).toLocaleDateString(); - return `${i + 1}. ${s.thread_id} (${s.status}, ${s.message_count} messages, created ${created})`; - }) - .join('\n'); - return { - content: `Found ${sessions.length} sessions:\n\n${formattedSessions}`, - sessions: sessions.map(s => ({ - thread_id: s.thread_id, - status: s.status, - message_count: s.message_count, - created_at: s.created_at, - })), - }; - } - catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_list_sessions failed: ${message}`); - return { error: `Failed to list sessions: ${message}` }; - } - }, - }); - // Register cortex_close_session tool - api.registerTool({ - name: tools_js_1.toolSchemas.cortex_close_session.name, - description: tools_js_1.toolSchemas.cortex_close_session.description, - parameters: tools_js_1.toolSchemas.cortex_close_session.inputSchema, - execute: async (_id, params) => { - const input = params; - try { - const sessionId = input.session_id ?? defaultSessionId; - const result = await client.closeSession(sessionId); - return { - content: `Session "${sessionId}" closed successfully.\nStatus: ${result.status}, Messages: ${result.message_count}\n\nMemory extraction pipeline triggered — user preferences, entities, and L0/L1 summaries will be generated asynchronously.`, - success: true, - session: { - thread_id: result.thread_id, - status: result.status, - message_count: result.message_count, - }, - }; - } - catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_close_session failed: ${message}`); - return { error: `Failed to close session: ${message}` }; - } - }, - }); - api.logger.info('Cortex Memory plugin initialized successfully'); - return { - id: 'cortex-mem', - name: 'Cortex Memory', - version: '0.1.0', - }; -} -// Also support object export style (register method calls the default function above) -exports.plugin = { - id: 'cortex-mem', - name: 'Cortex Memory', - version: '0.1.0', - configSchema: { - type: 'object', - properties: { - 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\ No newline at end of file diff --git a/examples/cortex-mem-openclaw/dist/tools.d.ts b/examples/cortex-mem-openclaw/dist/tools.d.ts deleted file mode 100644 index 2a42776..0000000 --- a/examples/cortex-mem-openclaw/dist/tools.d.ts +++ /dev/null @@ -1,172 +0,0 @@ -/** - * Tool definitions for Cortex Memory plugin - */ -import type { ContextLayer } from './client.js'; -export declare const toolSchemas: { - readonly cortex_search: { - readonly name: "cortex_search"; - readonly description: "Layered semantic search across memory using L0/L1/L2 tiered retrieval.\nReturns relevant memories ranked by relevance score.\n\nUse this tool when you need to:\n- Find past conversations or decisions\n- Search for specific information across all sessions\n- Discover related memories by semantic similarity"; - readonly inputSchema: { - readonly type: "object"; - readonly properties: { - readonly query: { - readonly type: "string"; - readonly description: "The search query - can be natural language or keywords"; - }; - readonly scope: { - readonly type: "string"; - readonly description: "Optional session/thread ID to limit search scope"; - }; - readonly limit: { - readonly type: "integer"; - readonly description: "Maximum number of results to return (default: 10)"; - readonly default: 10; - }; - readonly min_score: { - readonly type: "number"; - readonly description: "Minimum relevance score threshold (0-1, default: 0.6)"; - readonly default: 0.6; - }; - }; - readonly required: readonly ["query"]; - }; - }; - readonly cortex_recall: { - readonly name: "cortex_recall"; - readonly description: "Recall memories with layered detail levels (L0/L1/L2).\n\nL0 (Abstract): ~100 tokens - Quick summary for relevance判断\nL1 (Overview): ~2000 tokens - Key points and context\nL2 (Full): Complete content - Use only when you need full details\n\nUse this when you need more context than what cortex_search provides."; - readonly inputSchema: { - readonly type: "object"; - readonly properties: { - readonly query: { - readonly type: "string"; - readonly description: "The search query"; - }; - readonly layers: { - readonly type: "array"; - readonly items: { - readonly type: "string"; - readonly enum: readonly ["L0", "L1", "L2"]; - }; - readonly description: "Which detail layers to return (default: [\"L0\"])"; - readonly default: readonly ["L0"]; - }; - readonly scope: { - readonly type: "string"; - readonly description: "Optional session/thread ID to limit search scope"; - }; - readonly limit: { - readonly type: "integer"; - readonly description: "Maximum number of results (default: 5)"; - readonly default: 5; - }; - }; - readonly required: readonly ["query"]; - }; - }; - readonly cortex_add_memory: { - readonly name: "cortex_add_memory"; - readonly description: "Add a message to memory for a specific session.\nThis stores the message and automatically triggers:\n- Vector embedding for semantic search\n- L0/L1 layer generation (async)\n\nUse this to persist important information that should be searchable later."; - readonly inputSchema: { - readonly type: "object"; - readonly properties: { - readonly content: { - readonly type: "string"; - readonly description: "The content to store in memory"; - }; - readonly role: { - readonly type: "string"; - readonly enum: readonly ["user", "assistant", "system"]; - readonly description: "Role of the message sender (default: user)"; - readonly default: "user"; - }; - readonly session_id: { - readonly type: "string"; - readonly description: "Session/thread ID (uses default if not specified)"; - }; - }; - readonly required: readonly ["content"]; - }; - }; - readonly cortex_list_sessions: { - readonly name: "cortex_list_sessions"; - readonly description: "List all memory sessions with their status.\nShows session IDs, message counts, and creation/update times."; - readonly inputSchema: { - readonly type: "object"; - readonly properties: {}; - }; - }; - readonly cortex_close_session: { - readonly name: "cortex_close_session"; - readonly description: "Close a memory session and trigger full memory extraction.\n\nThis triggers the complete memory processing pipeline:\n1. Extracts structured memories (user preferences, entities, decisions) from conversation into the user/ directory\n2. Generates complete L0/L1 layer summaries for the entire session\n3. Indexes all extracted memories into the vector database\n4. Marks the session as closed\n\nUse this when:\n- A conversation or task is complete and you want to consolidate memories\n- You need user/ directory memories (preferences, entities) to be generated\n- You want to ensure all L0/L1 summaries are up to date\n\nNote: This is a potentially long-running operation (may take 30-60s due to LLM calls)."; - readonly inputSchema: { - readonly type: "object"; - readonly properties: { - readonly session_id: { - readonly type: "string"; - readonly description: "Session/thread ID to close (uses default if not specified)"; - }; - }; - }; - }; -}; -export interface CortexSearchInput { - query: string; - scope?: string; - limit?: number; - min_score?: number; -} -export interface CortexRecallInput { - query: string; - layers?: ContextLayer[]; - scope?: string; - limit?: number; -} -export interface CortexAddMemoryInput { - content: string; - role?: 'user' | 'assistant' | 'system'; - session_id?: string; -} -export interface CortexListSessionsInput { -} -export interface CortexCloseSessionInput { - session_id?: string; -} -export interface CortexSearchOutput { - results: Array<{ - uri: string; - score: number; - snippet: string; - }>; - total: number; -} -export interface CortexRecallOutput { - results: Array<{ - uri: string; - score: number; - abstract?: string; - overview?: string; - content?: string; - }>; - total: number; -} -export interface CortexAddMemoryOutput { - success: boolean; - message_uri: string; -} -export interface CortexListSessionsOutput { - sessions: Array<{ - thread_id: string; - status: string; - message_count: number; - created_at: string; - }>; -} -export interface CortexCloseSessionOutput { - success: boolean; - session: { - thread_id: string; - status: string; - message_count: number; - }; -} -//# sourceMappingURL=tools.d.ts.map \ No newline at end of file diff --git a/examples/cortex-mem-openclaw/dist/tools.d.ts.map b/examples/cortex-mem-openclaw/dist/tools.d.ts.map deleted file mode 100644 index d0e487c..0000000 --- a/examples/cortex-mem-openclaw/dist/tools.d.ts.map +++ /dev/null @@ -1 +0,0 @@ -{"version":3,"file":"tools.d.ts","sourceRoot":"","sources":["../src/tools.ts"],"names":[],"mappings":"AAAA;;GAEG;AAEH,OAAO,KAAK,EAAE,YAAY,EAAE,MAAM,aAAa,CAAC;AAGhD,eAAO,MAAM,WAAW;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;CA6Id,CAAC;AAGX,MAAM,WAAW,iBAAiB;IAChC,KAAK,EAAE,MAAM,CAAC;IACd,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,SAAS,CAAC,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,iBAAiB;IAChC,KAAK,EAAE,MAAM,CAAC;IACd,MAAM,CAAC,EAAE,YAAY,EAAE,CAAC;IACxB,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,KAAK,CAAC,EAAE,MAAM,CAAC;CAChB;AAED,MAAM,WAAW,oBAAoB;IACnC,OAAO,EAAE,MAAM,CAAC;IAChB,IAAI,CAAC,EAAE,MAAM,GAAG,WAAW,GAAG,QAAQ,CAAC;IACvC,UAAU,CAAC,EAAE,MAAM,CAAC;CACrB;AAED,MAAM,WAAW,uBAAuB;CAAG;AAE3C,MAAM,WAAW,uBAAuB;IACtC,UAAU,CAAC,EAAE,MAAM,CAAC;CACrB;AAGD,MAAM,WAAW,kBAAkB;IACjC,OAAO,EAAE,KAAK,CAAC;QACb,GAAG,EAAE,MAAM,CAAC;QACZ,KAAK,EAAE,MAAM,CAAC;QACd,OAAO,EAAE,MAAM,CAAC;KACjB,CAAC,CAAC;IACH,KAAK,EAAE,MAAM,CAAC;CACf;AAED,MAAM,WAAW,kBAAkB;IACjC,OAAO,EAAE,KAAK,CAAC;QACb,GAAG,EAAE,MAAM,CAAC;QACZ,KAAK,EAAE,MAAM,CAAC;QACd,QAAQ,CAAC,EAAE,MAAM,CAAC;QAClB,QAAQ,CAAC,EAAE,MAAM,CAAC;QAClB,OAAO,CAAC,EAAE,MAAM,CAAC;KAClB,CAAC,CAAC;IACH,KAAK,EAAE,MAAM,CAAC;CACf;AAED,MAAM,WAAW,qBAAqB;IACpC,OAAO,EAAE,OAAO,CAAC;IACjB,WAAW,EAAE,MAAM,CAAC;CACrB;AAED,MAAM,WAAW,wBAAwB;IACvC,QAAQ,EAAE,KAAK,CAAC;QACd,SAAS,EAAE,MAAM,CAAC;QAClB,MAAM,EAAE,MAAM,CAAC;QACf,aAAa,EAAE,MAAM,CAAC;QACtB,UAAU,EAAE,MAAM,CAAC;KACpB,CAAC,CAAC;CACJ;AAED,MAAM,WAAW,wBAAwB;IACvC,OAAO,EAAE,OAAO,CAAC;IACjB,OAAO,EAAE;QACP,SAAS,EAAE,MAAM,CAAC;QAClB,MAAM,EAAE,MAAM,CAAC;QACf,aAAa,EAAE,MAAM,CAAC;KACvB,CAAC;CACH"} \ No newline at end of file diff --git a/examples/cortex-mem-openclaw/dist/tools.js b/examples/cortex-mem-openclaw/dist/tools.js deleted file mode 100644 index 137560a..0000000 --- a/examples/cortex-mem-openclaw/dist/tools.js +++ /dev/null @@ -1,146 +0,0 @@ -"use strict"; -/** - * Tool definitions for Cortex Memory plugin - */ -Object.defineProperty(exports, "__esModule", { value: true }); -exports.toolSchemas = void 0; -// Tool input schemas (JSON Schema format) -exports.toolSchemas = { - cortex_search: { - name: 'cortex_search', - description: `Layered semantic search across memory using L0/L1/L2 tiered retrieval. -Returns relevant memories ranked by relevance score. - -Use this tool when you need to: -- Find past conversations or decisions -- Search for specific information across all sessions -- Discover related memories by semantic similarity`, - inputSchema: { - type: 'object', - properties: { - query: { - type: 'string', - description: 'The search query - can be natural language or keywords', - }, - scope: { - type: 'string', - description: 'Optional session/thread ID to limit search scope', - }, - limit: { - type: 'integer', - description: 'Maximum number of results to return (default: 10)', - default: 10, - }, - min_score: { - type: 'number', - description: 'Minimum relevance score threshold (0-1, default: 0.6)', - default: 0.6, - }, - }, - required: ['query'], - }, - }, - cortex_recall: { - name: 'cortex_recall', - description: `Recall memories with layered detail levels (L0/L1/L2). - -L0 (Abstract): ~100 tokens - Quick summary for relevance判断 -L1 (Overview): ~2000 tokens - Key points and context -L2 (Full): Complete content - Use only when you need full details - -Use this when you need more context than what cortex_search provides.`, - inputSchema: { - type: 'object', - properties: { - query: { - type: 'string', - description: 'The search query', - }, - layers: { - type: 'array', - items: { - type: 'string', - enum: ['L0', 'L1', 'L2'], - }, - description: 'Which detail layers to return (default: ["L0"])', - default: ['L0'], - }, - scope: { - type: 'string', - description: 'Optional session/thread ID to limit search scope', - }, - limit: { - type: 'integer', - description: 'Maximum number of results (default: 5)', - default: 5, - }, - }, - required: ['query'], - }, - }, - cortex_add_memory: { - name: 'cortex_add_memory', - description: `Add a message to memory for a specific session. -This stores the message and automatically triggers: -- Vector embedding for semantic search -- L0/L1 layer generation (async) - -Use this to persist important information that should be searchable later.`, - inputSchema: { - type: 'object', - properties: { - content: { - type: 'string', - description: 'The content to store in memory', - }, - role: { - type: 'string', - enum: ['user', 'assistant', 'system'], - description: 'Role of the message sender (default: user)', - default: 'user', - }, - session_id: { - type: 'string', - description: 'Session/thread ID (uses default if not specified)', - }, - }, - required: ['content'], - }, - }, - cortex_list_sessions: { - name: 'cortex_list_sessions', - description: `List all memory sessions with their status. -Shows session IDs, message counts, and creation/update times.`, - inputSchema: { - type: 'object', - properties: {}, - }, - }, - cortex_close_session: { - name: 'cortex_close_session', - description: `Close a memory session and trigger full memory extraction. - -This triggers the complete memory processing pipeline: -1. 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Switches the service to the specified tenant on startup.", - "default": "tenant_claw" - } - }, - "required": ["serviceUrl"] - }, - "uiHints": { - "serviceUrl": { - "label": "Service URL", - "description": "The HTTP endpoint of your cortex-mem-service instance" - }, - "defaultSessionId": { - "label": "Default Session", - "description": "Session ID to use when no thread is specified" - }, - "searchLimit": { - "label": "Search Limit", - "description": "Maximum number of results to return from search" - }, - "minScore": { - "label": "Minimum Score", - "description": "Filter results below this relevance threshold" - }, - "tenantId": { - "label": "Tenant ID", - "description": "Tenant identifier for data isolation (default: tenant_claw)" - } - } -} diff --git a/examples/cortex-mem-openclaw/src/index.ts b/examples/cortex-mem-openclaw/src/index.ts deleted file mode 100644 index a6d8353..0000000 --- a/examples/cortex-mem-openclaw/src/index.ts +++ /dev/null @@ -1,322 +0,0 @@ -/** - * Cortex Memory Plugin for OpenClaw - * - * Provides layered semantic memory with L0/L1/L2 tiered retrieval. - * - * Installation: - * openclaw plugins install @cortex-mem/openclaw-plugin - * - * Configuration (in openclaw.json): - * { - * "plugins": { - * "entries": { - * "cortex-mem": { - * "enabled": true, - * "config": { - * "serviceUrl": "http://127.0.0.1:8085", - * "tenantId": "tenant_claw", - * "defaultSessionId": "default", - * "searchLimit": 10, - * "minScore": 0.6 - * } - * } - * } - * } - * } - */ - -import { CortexMemClient } from './client.js'; -import { toolSchemas, type CortexSearchInput, type CortexRecallInput, type CortexAddMemoryInput, type CortexCloseSessionInput } from './tools.js'; - -// Plugin configuration -interface PluginConfig { - serviceUrl?: string; - defaultSessionId?: string; - searchLimit?: number; - minScore?: number; - tenantId?: string; -} - -// OpenClaw Plugin API types — aligned with OpenClawPluginApi in openclaw/src/plugins/types.ts -interface PluginLogger { - debug?: (msg: string, ...args: unknown[]) => void; - info: (msg: string, ...args: unknown[]) => void; - warn: (msg: string, ...args: unknown[]) => void; - error: (msg: string, ...args: unknown[]) => void; -} - -interface ToolDefinition { - name: string; - description: string; - /** - * JSON Schema for tool inputs. - * OpenClaw uses 'parameters', NOT 'inputSchema'. - */ - parameters: object; - /** - * Tool execution function. - * OpenClaw uses 'execute(_id, params)', NOT 'handler(args)'. - */ - execute: (_id: string, params: Record) => Promise; - /** Optional: mark tool as opt-in (not auto-enabled) */ - optional?: boolean; -} - -// Matches OpenClawPluginApi interface -interface PluginAPI { - /** - * Plugin-specific configuration from openclaw.json - * Access via api.pluginConfig, NOT api.getConfig() - */ - pluginConfig?: Record; - registerTool(tool: ToolDefinition, opts?: { optional?: boolean }): void; - logger: PluginLogger; -} - -// Export plugin as a default function — matches OpenClaw's resolvePluginModuleExport behavior -export default function cortexMemPlugin(api: PluginAPI) { - const config = (api.pluginConfig ?? {}) as PluginConfig; - const serviceUrl = config.serviceUrl ?? 'http://127.0.0.1:8085'; - const defaultSessionId = config.defaultSessionId ?? 'default'; - const searchLimit = config.searchLimit ?? 10; - const minScore = config.minScore ?? 0.6; - const tenantId = config.tenantId ?? 'tenant_claw'; - - const client = new CortexMemClient(serviceUrl); - - api.logger.info('Cortex Memory plugin initializing...'); - api.logger.info(`Service URL: ${serviceUrl}`); - api.logger.info(`Tenant ID: ${tenantId}`); - - // Switch to the configured tenant on startup - fetch(`${serviceUrl}/api/v2/tenants/switch`, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ tenant_id: tenantId }), - }) - .then(res => { - if (res.ok) { - api.logger.info(`✅ Switched to tenant: ${tenantId}`); - } else { - api.logger.warn(`Failed to switch tenant (${res.status}): ${tenantId}`); - } - }) - .catch(err => { - api.logger.warn(`Tenant switch request failed: ${err instanceof Error ? err.message : String(err)}`); - }); - - // Register cortex_search tool - api.registerTool({ - name: toolSchemas.cortex_search.name, - description: toolSchemas.cortex_search.description, - parameters: toolSchemas.cortex_search.inputSchema, - execute: async (_id: string, params: Record) => { - const input = params as unknown as CortexSearchInput; - - try { - const results = await client.search({ - query: input.query, - thread: input.scope, - limit: input.limit ?? searchLimit, - min_score: input.min_score ?? minScore, - }); - - const formattedResults = results - .map((r, i) => `${i + 1}. [Score: ${r.score.toFixed(2)}] ${r.snippet}\n URI: ${r.uri}`) - .join('\n\n'); - - return { - content: `Found ${results.length} results for "${input.query}":\n\n${formattedResults}`, - results: results.map(r => ({ - uri: r.uri, - score: r.score, - snippet: r.snippet, - })), - total: results.length, - }; - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_search failed: ${message}`); - return { error: `Search failed: ${message}` }; - } - }, - }); - - // Register cortex_recall tool - api.registerTool({ - name: toolSchemas.cortex_recall.name, - description: toolSchemas.cortex_recall.description, - parameters: toolSchemas.cortex_recall.inputSchema, - execute: async (_id: string, params: Record) => { - const input = params as unknown as CortexRecallInput; - - try { - const results = await client.recall( - input.query, - input.layers ?? ['L0'], - input.scope, - input.limit ?? 5 - ); - - const layerLabels: Record = { - L0: 'Abstract', - L1: 'Overview', - L2: 'Full Content', - }; - - const requestedLayers = input.layers ?? ['L0']; - - const formattedResults = results - .map((r, i) => { - let content = `${i + 1}. [Score: ${r.score.toFixed(2)}] URI: ${r.uri}\n`; - - if (requestedLayers.includes('L0') && r.abstract) { - content += ` [${layerLabels['L0']}]: ${r.abstract}\n`; - } - if (requestedLayers.includes('L1') && r.overview) { - content += ` [${layerLabels['L1']}]: ${r.overview.substring(0, 500)}...\n`; - } - if (requestedLayers.includes('L2') && r.content) { - content += ` [${layerLabels['L2']}]: ${r.content.substring(0, 500)}...\n`; - } - - return content; - }) - .join('\n'); - - return { - content: `Recalled ${results.length} memories:\n\n${formattedResults}`, - results, - total: results.length, - }; - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_recall failed: ${message}`); - return { error: `Recall failed: ${message}` }; - } - }, - }); - - // Register cortex_add_memory tool - api.registerTool({ - name: toolSchemas.cortex_add_memory.name, - description: toolSchemas.cortex_add_memory.description, - parameters: toolSchemas.cortex_add_memory.inputSchema, - execute: async (_id: string, params: Record) => { - const input = params as unknown as CortexAddMemoryInput; - - try { - const sessionId = input.session_id ?? defaultSessionId; - const result = await client.addMessage(sessionId, { - role: input.role ?? 'user', - content: input.content, - }); - - return { - content: `Memory stored successfully in session "${sessionId}".\nResult: ${result}`, - success: true, - message_uri: result, - }; - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_add_memory failed: ${message}`); - return { error: `Failed to add memory: ${message}` }; - } - }, - }); - - // Register cortex_list_sessions tool - api.registerTool({ - name: toolSchemas.cortex_list_sessions.name, - description: toolSchemas.cortex_list_sessions.description, - parameters: toolSchemas.cortex_list_sessions.inputSchema, - execute: async (_id: string, _params: Record) => { - try { - const sessions = await client.listSessions(); - - if (sessions.length === 0) { - return { content: 'No sessions found.' }; - } - - const formattedSessions = sessions - .map((s, i) => { - const created = new Date(s.created_at).toLocaleDateString(); - return `${i + 1}. ${s.thread_id} (${s.status}, ${s.message_count} messages, created ${created})`; - }) - .join('\n'); - - return { - content: `Found ${sessions.length} sessions:\n\n${formattedSessions}`, - sessions: sessions.map(s => ({ - thread_id: s.thread_id, - status: s.status, - message_count: s.message_count, - created_at: s.created_at, - })), - }; - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_list_sessions failed: ${message}`); - return { error: `Failed to list sessions: ${message}` }; - } - }, - }); - - // Register cortex_close_session tool - api.registerTool({ - name: toolSchemas.cortex_close_session.name, - description: toolSchemas.cortex_close_session.description, - parameters: toolSchemas.cortex_close_session.inputSchema, - execute: async (_id: string, params: Record) => { - const input = params as unknown as CortexCloseSessionInput; - - try { - const sessionId = input.session_id ?? defaultSessionId; - const result = await client.closeSession(sessionId); - - return { - content: `Session "${sessionId}" closed successfully.\nStatus: ${result.status}, Messages: ${result.message_count}\n\nMemory extraction pipeline triggered — user preferences, entities, and L0/L1 summaries will be generated asynchronously.`, - success: true, - session: { - thread_id: result.thread_id, - status: result.status, - message_count: result.message_count, - }, - }; - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - api.logger.error(`cortex_close_session failed: ${message}`); - return { error: `Failed to close session: ${message}` }; - } - }, - }); - - api.logger.info('Cortex Memory plugin initialized successfully'); - - return { - id: 'cortex-mem', - name: 'Cortex Memory', - version: '0.1.0', - }; -} - -// Also support object export style (register method calls the default function above) -export const plugin = { - id: 'cortex-mem', - name: 'Cortex Memory', - version: '0.1.0', - configSchema: { - type: 'object', - properties: { - serviceUrl: { type: 'string', default: 'http://127.0.0.1:8085' }, - defaultSessionId: { type: 'string', default: 'default' }, - searchLimit: { type: 'integer', default: 10 }, - minScore: { type: 'number', default: 0.6 }, - tenantId: { type: 'string', default: 'tenant_claw' }, - }, - required: ['serviceUrl'], - }, - register(api: PluginAPI) { - return cortexMemPlugin(api); - }, -}; diff --git a/examples/cortex-mem-openclaw/src/tools.ts b/examples/cortex-mem-openclaw/src/tools.ts deleted file mode 100644 index 1e46dcf..0000000 --- a/examples/cortex-mem-openclaw/src/tools.ts +++ /dev/null @@ -1,220 +0,0 @@ -/** - * Tool definitions for Cortex Memory plugin - */ - -import type { ContextLayer } from './client.js'; - -// Tool input schemas (JSON Schema format) -export const toolSchemas = { - cortex_search: { - name: 'cortex_search', - description: `Layered semantic search across memory using L0/L1/L2 tiered retrieval. -Returns relevant memories ranked by relevance score. - -Use this tool when you need to: -- Find past conversations or decisions -- Search for specific information across all sessions -- Discover related memories by semantic similarity`, - inputSchema: { - type: 'object', - properties: { - query: { - type: 'string', - description: 'The search query - can be natural language or keywords', - }, - scope: { - type: 'string', - description: 'Optional session/thread ID to limit search scope', - }, - limit: { - type: 'integer', - description: 'Maximum number of results to return (default: 10)', - default: 10, - }, - min_score: { - type: 'number', - description: 'Minimum relevance score threshold (0-1, default: 0.6)', - default: 0.6, - }, - }, - required: ['query'], - }, - }, - - cortex_recall: { - name: 'cortex_recall', - description: `Recall memories with layered detail levels (L0/L1/L2). - -L0 (Abstract): ~100 tokens - Quick summary for relevance判断 -L1 (Overview): ~2000 tokens - Key points and context -L2 (Full): Complete content - Use only when you need full details - -Use this when you need more context than what cortex_search provides.`, - inputSchema: { - type: 'object', - properties: { - query: { - type: 'string', - description: 'The search query', - }, - layers: { - type: 'array', - items: { - type: 'string', - enum: ['L0', 'L1', 'L2'], - }, - description: 'Which detail layers to return (default: ["L0"])', - default: ['L0'], - }, - scope: { - type: 'string', - description: 'Optional session/thread ID to limit search scope', - }, - limit: { - type: 'integer', - description: 'Maximum number of results (default: 5)', - default: 5, - }, - }, - required: ['query'], - }, - }, - - cortex_add_memory: { - name: 'cortex_add_memory', - description: `Add a message to memory for a specific session. -This stores the message and automatically triggers: -- Vector embedding for semantic search -- L0/L1 layer generation (async) - -Use this to persist important information that should be searchable later.`, - inputSchema: { - type: 'object', - properties: { - content: { - type: 'string', - description: 'The content to store in memory', - }, - role: { - type: 'string', - enum: ['user', 'assistant', 'system'], - description: 'Role of the message sender (default: user)', - default: 'user', - }, - session_id: { - type: 'string', - description: 'Session/thread ID (uses default if not specified)', - }, - }, - required: ['content'], - }, - }, - - cortex_list_sessions: { - name: 'cortex_list_sessions', - description: `List all memory sessions with their status. -Shows session IDs, message counts, and creation/update times.`, - inputSchema: { - type: 'object', - properties: {}, - }, - }, - - cortex_close_session: { - name: 'cortex_close_session', - description: `Close a memory session and trigger full memory extraction. - -This triggers the complete memory processing pipeline: -1. Extracts structured memories (user preferences, entities, decisions) from conversation into the user/ directory -2. Generates complete L0/L1 layer summaries for the entire session -3. Indexes all extracted memories into the vector database -4. Marks the session as closed - -Use this when: -- A conversation or task is complete and you want to consolidate memories -- You need user/ directory memories (preferences, entities) to be generated -- You want to ensure all L0/L1 summaries are up to date - -Note: This is a potentially long-running operation (may take 30-60s due to LLM calls).`, - inputSchema: { - type: 'object', - properties: { - session_id: { - type: 'string', - description: 'Session/thread ID to close (uses default if not specified)', - }, - }, - }, - }, -} as const; - -// Tool input types (inferred from schemas) -export interface CortexSearchInput { - query: string; - scope?: string; - limit?: number; - min_score?: number; -} - -export interface CortexRecallInput { - query: string; - layers?: ContextLayer[]; - scope?: string; - limit?: number; -} - -export interface CortexAddMemoryInput { - content: string; - role?: 'user' | 'assistant' | 'system'; - session_id?: string; -} - -export interface CortexListSessionsInput {} - -export interface CortexCloseSessionInput { - session_id?: string; -} - -// Tool output types -export interface CortexSearchOutput { - results: Array<{ - uri: string; - score: number; - snippet: string; - }>; - total: number; -} - -export interface CortexRecallOutput { - results: Array<{ - uri: string; - score: number; - abstract?: string; - overview?: string; - content?: string; - }>; - total: number; -} - -export interface CortexAddMemoryOutput { - success: boolean; - message_uri: string; -} - -export interface CortexListSessionsOutput { - sessions: Array<{ - thread_id: string; - status: string; - message_count: number; - created_at: string; - }>; -} - -export interface CortexCloseSessionOutput { - success: boolean; - session: { - thread_id: string; - status: string; - message_count: number; - }; -} diff --git a/examples/cortex-mem-tars/Cargo.toml b/examples/cortex-mem-tars/Cargo.toml index af83633..6ffb3f6 100644 --- a/examples/cortex-mem-tars/Cargo.toml +++ b/examples/cortex-mem-tars/Cargo.toml @@ -65,5 +65,5 @@ clap = { version = "4.5", features = ["derive"] } # Audio input cpal = "0.17" rubato = "0.16" -whisper-rs = "0.15" +whisper-rs = "0.16" libc = "0.2" diff --git a/examples/cortex-mem-tars/src/agent.rs b/examples/cortex-mem-tars/src/agent.rs index 1f699d9..993518a 100644 --- a/examples/cortex-mem-tars/src/agent.rs +++ b/examples/cortex-mem-tars/src/agent.rs @@ -841,7 +841,8 @@ impl AgentChatHandler { tool_call_count, full_response.len() ); - let _ = tx.send(full_response.clone()).await; + // 🔧 修复：不再发送完整响应到 stream channel + // 流式输出期间已经逐块发送了所有内容，避免重复输出 break; } _ => { diff --git a/examples/cortex-mem-tars/src/audio_transcription.rs b/examples/cortex-mem-tars/src/audio_transcription.rs index a0f1f80..44a3b60 100644 --- a/examples/cortex-mem-tars/src/audio_transcription.rs +++ b/examples/cortex-mem-tars/src/audio_transcription.rs @@ -56,7 +56,7 @@ impl WhisperTranscriber { #[cfg(unix)] let null_file = std::fs::File::create("/dev/null")?; #[cfg(windows)] - let null_file = std::fs::File::create("NUL")?; + let _null_file = std::fs::File::create("NUL")?; #[cfg(unix)] let saved_stderr = unsafe { diff --git a/examples/memclaw/.gitignore b/examples/memclaw/.gitignore new file mode 100644 index 0000000..1f95ab3 --- /dev/null +++ b/examples/memclaw/.gitignore @@ -0,0 +1,5 @@ +node_modules/ +bun.lock +pnpm.lock +npm.lock +yarn.lock diff --git a/examples/memclaw/README.md b/examples/memclaw/README.md new file mode 100644 index 0000000..48fbb3a --- /dev/null +++ b/examples/memclaw/README.md @@ -0,0 +1,262 @@ +# MemClaw + +Layered semantic memory plugin for OpenClaw with L0/L1/L2 tiered retrieval, automatic service management, and migration support from OpenClaw native memory. + +## Overview + +MemClaw is an OpenClaw plugin that provides advanced semantic memory capabilities using Cortex Memory's tiered memory architecture. It stores, searches, and recalls memories with intelligent layer-based retrieval that balances speed and context. + +## Features + +- **Three-Layer Memory Architecture**: L0 (abstract), L1 (overview), and L2 (full) layers for intelligent retrieval +- **Automatic Service Management**: Auto-starts Qdrant vector database and cortex-mem-service +- **Semantic Search**: Vector-based similarity search across all memory layers +- **Session Management**: Create, list, and close memory sessions +- **Migration Support**: One-click migration from OpenClaw native memory +- **Cross-Platform**: Supports Windows x64 and macOS Apple Silicon + +## Architecture + +### Memory Layers + +| Layer | Tokens | Content | Role | +|-------|--------|---------|------| +| **L0 (Abstract)** | ~100 | High-level summary | Quick filtering | +| **L1 (Overview)** | ~2000 | Key points + context | Context refinement | +| **L2 (Full)** | Complete | Original content | Precise matching | + +The search engine queries all three layers internally and returns unified results with `snippet` and `content`. + +### System Components + +``` +OpenClaw + MemClaw Plugin + │ + ├── cortex_search → Search memories + ├── cortex_recall → Recall with context + ├── cortex_add_memory → Store memories + ├── cortex_list_sessions → List sessions + ├── cortex_close_session → Close & extract + └── cortex_migrate → Migrate existing memory + │ + ▼ + cortex-mem-service (port 8085) + │ + ▼ + Qdrant (port 6334) +``` + +## Installation + +### Requirements + +| Requirement | Details | +|-------------|---------| +| **Platforms** | Windows x64, macOS Apple Silicon | +| **Node.js** | ≥ 22.0.0 | +| **OpenClaw** | Installed and configured | + +### Install Plugin + +```bash +openclaw plugins install memclaw +``` + +### Local Development Installation + +For developers who want to use a local version of memclaw or develop the plugin: + +```bash +# Clone the repository +git clone https://github.com/sopaco/cortex-mem.git +cd cortex-mem/examples/memclaw + +# Install dependencies +bun install + +# Build the plugin +bun run build + +# Create a symlink to the plugin directory +# This makes OpenClaw use your local version +mkdir -p ~/.openclaw/plugins +ln -sf "$(pwd)" ~/.openclaw/plugins/memclaw +``` + +Then configure in `openclaw.json` with the local plugin path: + +```json +{ + "plugins": { + "entries": { + "memclaw": { + "enabled": true, + "path": "./plugins/memclaw" + } + } + } +} +``` + +After making code changes, rebuild with `bun run build` and restart OpenClaw. + +### Configure OpenClaw + +Edit your `openclaw.json`: + +```json +{ + "plugins": { + "entries": { + "memclaw": { + "enabled": true, + "config": { + "serviceUrl": "http://127.0.0.1:8085", + "tenantId": "tenant_claw", + "autoStartServices": true + } + } + } + }, + "agents": { + "defaults": { + "memorySearch": { "enabled": false } + } + } +} +``` + +> **Note**: Set `memorySearch.enabled: false` to disable OpenClaw's built-in memory search and use MemClaw instead. + +### Configure LLM + +On first run, MemClaw creates a configuration file: + +| Platform | Path | +|----------|------| +| Windows | `%APPDATA%\memclaw\config.toml` | +| macOS | `~/Library/Application Support/memclaw/config.toml` | + +Edit the configuration file and fill in required fields: + +```toml +[llm] +api_key = "xxx" # REQUIRED: Your LLM API key + +[embedding] +api_key = "xxx" # REQUIRED: Your embedding API key (can be same as llm.api_key) +``` + +Then restart OpenClaw. + +## Available Tools + +### cortex_search + +Semantic search across all memories using L0/L1/L2 tiered retrieval. + +```json +{ + "query": "database architecture decisions", + "limit": 5, + "min_score": 0.6 +} +``` + +### cortex_recall + +Recall memories with more context (snippet + full content). + +```json +{ + "query": "user preferences for code style", + "limit": 10 +} +``` + +### cortex_add_memory + +Store a message for future retrieval. + +```json +{ + "content": "User prefers TypeScript with strict mode", + "role": "assistant", + "session_id": "default" +} +``` + +### cortex_list_sessions + +List all memory sessions with status and message count. + +### cortex_close_session + +Close a session and trigger memory extraction pipeline (takes 30-60 seconds). + +```json +{ + "session_id": "default" +} +``` + +### cortex_migrate + +Migrate from OpenClaw native memory to MemClaw. Run once during initial setup. + +## Configuration Options + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `serviceUrl` | string | `http://127.0.0.1:8085` | Cortex Memory service URL | +| `tenantId` | string | `tenant_claw` | Tenant ID for data isolation | +| `autoStartServices` | boolean | `true` | Auto-start Qdrant and service | +| `defaultSessionId` | string | `default` | Default session for memory operations | +| `searchLimit` | number | `10` | Default number of search results | +| `minScore` | number | `0.6` | Minimum relevance score (0-1) | + +## Quick Decision Flow + +1. **Need to find something** → `cortex_search` +2. **Need more context** → `cortex_recall` +3. **Save important information** → `cortex_add_memory` +4. **Conversation complete** → `cortex_close_session` +5. **First time setup** → `cortex_migrate` + +## Troubleshooting + +### Services Won't Start + +1. Check that ports 6333, 6334, 8085 are available +2. Verify `api_key` fields are filled in config.toml +3. Run `openclaw skills` to check plugin status + +### Search Returns No Results + +1. Run `cortex_list_sessions` to verify sessions exist +2. Lower `min_score` threshold (default: 0.6) +3. Check service health with `cortex-mem-cli stats` + +### Migration Fails + +1. Ensure OpenClaw workspace exists at `~/.openclaw/workspace` +2. Verify memory files exist in `~/.openclaw/workspace/memory/` + +## CLI Reference + +For advanced users, use the cortex-mem-cli directly: + +```bash +# List sessions +cortex-mem-cli --config config.toml --tenant tenant_claw session list + +# Ensure all layers are generated +cortex-mem-cli --config config.toml --tenant tenant_claw layers ensure-all + +# Rebuild vector index +cortex-mem-cli --config config.toml --tenant tenant_claw vector reindex +``` + +## License + +MIT diff --git a/examples/memclaw/README_zh.md b/examples/memclaw/README_zh.md new file mode 100644 index 0000000..73fa6fb --- /dev/null +++ b/examples/memclaw/README_zh.md @@ -0,0 +1,262 @@ +# MemClaw + +OpenClaw 的分层语义内存插件，支持 L0/L1/L2 三层检索、自动服务管理，并可从 OpenClaw 原生内存迁移。 + +## 概述 + +MemClaw 是一个 OpenClaw 插件，利用 Cortex Memory 的分层内存架构提供高级语义内存功能。它以智能分层检索方式存储、搜索和召回记忆，兼顾速度与上下文。 + +## 功能特性 + +- **三层内存架构**：L0（摘要）、L1（概览）和 L2（完整）层次，实现智能检索 +- **自动服务管理**：自动启动 Qdrant 向量数据库和 cortex-mem-service +- **语义搜索**：基于向量的相似性搜索，跨所有内存层 +- **会话管理**：创建、列出和关闭内存会话 +- **迁移支持**：一键从 OpenClaw 原生内存迁移 +- **跨平台支持**：Windows x64 和 macOS Apple Silicon + +## 架构 + +### 内存层次 + +| 层次 | Token 数 | 内容 | 作用 | +|------|----------|------|------| +| **L0（摘要）** | ~100 | 高层次摘要 | 快速过滤 | +| **L1（概览）** | ~2000 | 关键点 + 上下文 | 上下文优化 | +| **L2（完整）** | 完整内容 | 原始内容 | 精确匹配 | + +搜索引擎内部查询所有三层，返回统一的包含 `snippet`（摘要）和 `content`（完整内容）的结果。 + +### 系统组件 + +``` +OpenClaw + MemClaw 插件 + │ + ├── cortex_search → 搜索记忆 + ├── cortex_recall → 带上下文召回 + ├── cortex_add_memory → 存储记忆 + ├── cortex_list_sessions → 列出会话 + ├── cortex_close_session → 关闭并提取 + └── cortex_migrate → 迁移现有内存 + │ + ▼ + cortex-mem-service（端口 8085） + │ + ▼ + Qdrant（端口 6334） +``` + +## 安装 + +### 环境要求 + +| 要求 | 说明 | +|------|------| +| **平台** | Windows x64、macOS Apple Silicon | +| **Node.js** | ≥ 22.0.0 | +| **OpenClaw** | 已安装并配置完成 | + +### 安装插件 + +```bash +openclaw plugins install memclaw +``` + +### 本地开发安装 + +适用于开发者使用本地版本或进行插件开发： + +```bash +# 克隆仓库 +git clone https://github.com/sopaco/cortex-mem.git +cd cortex-mem/examples/memclaw + +# 安装依赖 +bun install + +# 构建插件 +bun run build + +# 创建符号链接到插件目录 +# 这样 OpenClaw 会使用本地版本 +mkdir -p ~/.openclaw/plugins +ln -sf "$(pwd)" ~/.openclaw/plugins/memclaw +``` + +然后在 `openclaw.json` 中配置本地插件路径： + +```json +{ + "plugins": { + "entries": { + "memclaw": { + "enabled": true, + "path": "./plugins/memclaw" + } + } + } +} +``` + +代码修改后，使用 `bun run build` 重新构建，然后重启 OpenClaw。 + +### 配置 OpenClaw + +编辑 `openclaw.json`： + +```json +{ + "plugins": { + "entries": { + "memclaw": { + "enabled": true, + "config": { + "serviceUrl": "http://127.0.0.1:8085", + "tenantId": "tenant_claw", + "autoStartServices": true + } + } + } + }, + "agents": { + "defaults": { + "memorySearch": { "enabled": false } + } + } +} +``` + +> **注意**：将 `memorySearch.enabled` 设置为 `false` 以禁用 OpenClaw 内置的内存搜索，改为使用 MemClaw。 + +### 配置 LLM + +首次运行时，MemClaw 会创建配置文件： + +| 平台 | 路径 | +|------|------| +| Windows | `%APPDATA%\memclaw\config.toml` | +| macOS | `~/Library/Application Support/memclaw/config.toml` | + +编辑配置文件，填写必要字段： + +```toml +[llm] +api_key = "xxx" # 必填：您的 LLM API 密钥 + +[embedding] +api_key = "xxx" # 必填：您的嵌入 API 密钥（可与 llm.api_key 相同） +``` + +然后重启 OpenClaw。 + +## 可用工具 + +### cortex_search + +使用 L0/L1/L2 分层检索进行语义搜索。 + +```json +{ + "query": "数据库架构决策", + "limit": 5, + "min_score": 0.6 +} +``` + +### cortex_recall + +带更多上下文召回记忆（摘要 + 完整内容）。 + +```json +{ + "query": "用户对代码风格的偏好", + "limit": 10 +} +``` + +### cortex_add_memory + +存储消息以便后续检索。 + +```json +{ + "content": "用户更喜欢 TypeScript 严格模式", + "role": "assistant", + "session_id": "default" +} +``` + +### cortex_list_sessions + +列出所有内存会话，显示状态和消息数量。 + +### cortex_close_session + +关闭会话并触发内存提取流程（需要 30-60 秒）。 + +```json +{ + "session_id": "default" +} +``` + +### cortex_migrate + +从 OpenClaw 原生内存迁移到 MemClaw。在初始设置时运行一次。 + +## 配置选项 + +| 选项 | 类型 | 默认值 | 说明 | +|------|------|--------|------| +| `serviceUrl` | string | `http://127.0.0.1:8085` | Cortex Memory 服务地址 | +| `tenantId` | string | `tenant_claw` | 租户 ID，用于数据隔离 | +| `autoStartServices` | boolean | `true` | 自动启动 Qdrant 和服务 | +| `defaultSessionId` | string | `default` | 内存操作的默认会话 | +| `searchLimit` | number | `10` | 默认搜索结果数量 | +| `minScore` | number | `0.6` | 最小相关性分数（0-1） | + +## 快速决策流程 + +1. **需要查找内容** → `cortex_search` +2. **需要更多上下文** → `cortex_recall` +3. **保存重要信息** → `cortex_add_memory` +4. **对话完成** → `cortex_close_session` +5. **首次设置** → `cortex_migrate` + +## 故障排除 + +### 服务无法启动 + +1. 检查端口 6333、6334、8085 是否可用 +2. 验证 config.toml 中的 `api_key` 字段已填写 +3. 运行 `openclaw skills` 检查插件状态 + +### 搜索无结果 + +1. 运行 `cortex_list_sessions` 验证会话是否存在 +2. 降低 `min_score` 阈值（默认值：0.6） +3. 使用 `cortex-mem-cli stats` 检查服务健康状态 + +### 迁移失败 + +1. 确保 OpenClaw 工作区存在于 `~/.openclaw/workspace` +2. 验证内存文件存在于 `~/.openclaw/workspace/memory/` + +## CLI 参考 + +高级用户可直接使用 cortex-mem-cli： + +```bash +# 列出会话 +cortex-mem-cli --config config.toml --tenant tenant_claw session list + +# 确保所有层次都已生成 +cortex-mem-cli --config config.toml --tenant tenant_claw layers ensure-all + +# 重建向量索引 +cortex-mem-cli --config config.toml --tenant tenant_claw vector reindex +``` + +## 许可证 + +MIT diff --git a/examples/memclaw/index.ts b/examples/memclaw/index.ts new file mode 100644 index 0000000..127a229 --- /dev/null +++ b/examples/memclaw/index.ts @@ -0,0 +1,87 @@ +/** + * MemClaw - Layered Semantic Memory for OpenClaw + * + * Provides: + * - L0/L1/L2 tiered memory retrieval + * - Automatic service startup (Qdrant + cortex-mem-service) + * - Migration from OpenClaw native memory + * + * Installation: + * openclaw plugins install memclaw + * + * Configuration (in openclaw.json): + * { + * "plugins": { + * "entries": { + * "memclaw": { + * "enabled": true, + * "config": { + * "serviceUrl": "http://127.0.0.1:8085", + * "tenantId": "tenant_claw", + * "autoStartServices": true + * } + * } + * } + * } + * } + */ + +import { createPlugin } from "./plugin-impl.js"; + +// Re-export types +export type { CortexMemClient } from "./src/client.js"; +export type { MemClawConfig } from "./src/config.js"; + +// OpenClaw Plugin API types +interface PluginLogger { + debug?: (msg: string, ...args: unknown[]) => void; + info: (msg: string, ...args: unknown[]) => void; + warn: (msg: string, ...args: unknown[]) => void; + error: (msg: string, ...args: unknown[]) => void; +} + +interface ToolDefinition { + name: string; + description: string; + parameters: object; + execute: (_id: string, params: Record) => Promise; + optional?: boolean; +} + +interface PluginAPI { + pluginConfig?: Record; + registerTool(tool: ToolDefinition, opts?: { optional?: boolean }): void; + registerService(service: { + id: string; + start: () => Promise; + stop: () => Promise; + }): void; + logger: PluginLogger; +} + +// Default export - main plugin function +export default function memclawPlugin(api: PluginAPI) { + return createPlugin(api); +} + +// Named export - object style registration +export const plugin = { + id: "memclaw", + name: "MemClaw", + version: "0.9.0", + configSchema: { + type: "object", + properties: { + serviceUrl: { type: "string", default: "http://localhost:8085" }, + defaultSessionId: { type: "string", default: "default" }, + searchLimit: { type: "integer", default: 10 }, + minScore: { type: "number", default: 0.6 }, + tenantId: { type: "string", default: "tenant_claw" }, + autoStartServices: { type: "boolean", default: true }, + }, + required: [], + }, + register(api: PluginAPI) { + return createPlugin(api); + }, +}; diff --git a/examples/memclaw/openclaw.plugin.json b/examples/memclaw/openclaw.plugin.json new file mode 100644 index 0000000..a3d654c --- /dev/null +++ b/examples/memclaw/openclaw.plugin.json @@ -0,0 +1,72 @@ +{ + "id": "memclaw", + "name": "MemClaw", + "version": "0.1.0", + "description": "Layered semantic memory for OpenClaw with L0/L1/L2 tiered retrieval, easy setup, and migration from native memory", + "kind": "memory", + "skills": ["skill"], + "configSchema": { + "type": "object", + "properties": { + "serviceUrl": { + "type": "string", + "description": "Cortex Memory service URL", + "default": "http://127.0.0.1:8085" + }, + "defaultSessionId": { + "type": "string", + "description": "Default session ID for memory operations", + "default": "default" + }, + "searchLimit": { + "type": "integer", + "description": "Default number of search results", + "default": 10, + "minimum": 1, + "maximum": 50 + }, + "minScore": { + "type": "number", + "description": "Minimum relevance score for search results", + "default": 0.6, + "minimum": 0, + "maximum": 1 + }, + "tenantId": { + "type": "string", + "description": "Tenant ID for data isolation", + "default": "tenant_claw" + }, + "autoStartServices": { + "type": "boolean", + "description": "Automatically start Qdrant and cortex-mem-service if not running", + "default": true + }, + "qdrantPort": { + "type": "integer", + "description": "Qdrant port (default: 6333 for HTTP, 6334 for gRPC)", + "default": 6334 + }, + "servicePort": { + "type": "integer", + "description": "cortex-mem-service port", + "default": 8085 + } + }, + "required": [] + }, + "uiHints": { + "serviceUrl": { + "label": "Service URL", + "description": "The HTTP endpoint of your cortex-mem-service instance" + }, + "tenantId": { + "label": "Tenant ID", + "description": "Tenant identifier for data isolation" + }, + "autoStartServices": { + "label": "Auto-start Services", + "description": "Automatically start Qdrant and cortex-mem-service when plugin loads" + } + } +} diff --git a/examples/cortex-mem-openclaw/package.json b/examples/memclaw/package.json similarity index 50% rename from examples/cortex-mem-openclaw/package.json rename to examples/memclaw/package.json index 6246d71..d297f76 100644 --- a/examples/cortex-mem-openclaw/package.json +++ b/examples/memclaw/package.json @@ -1,14 +1,12 @@ { - "name": "cortex-mem", + "name": "memclaw", "version": "0.9.0", - "description": "Cortex Memory plugin for OpenClaw - Layered semantic memory with L0/L1/L2 tiered retrieval", + "description": "MemClaw - The Cortex Memory' plugin for OpenClaw. Layered semantic memory for OpenClaw with easy setup and migration", "main": "dist/index.js", "types": "dist/index.d.ts", "scripts": { "build": "tsc", - "dev": "tsc --watch", - "lint": "eslint src/**/*.ts", - "test": "vitest" + "dev": "tsc --watch" }, "keywords": [ "openclaw", @@ -16,25 +14,36 @@ "semantic-search", "vector-search", "ai", - "agent" + "agent", + "cortex-mem" ], - "author": "Cortex-Mem Contributors", + "author": "Sopaco", "license": "MIT", "openclaw": { "extensions": [ "dist/index.js" + ], + "skills": [ + "skill" ] }, "devDependencies": { "@types/node": "^22.0.0", - "typescript": "^5.7.0", - "vitest": "^2.0.0" + "typescript": "^5.7.0" + }, + "dependencies": { + "glob": "^11.0.0" + }, + "optionalDependencies": { + "@memclaw/bin-darwin-arm64": "0.1.0", + "@memclaw/bin-win-x64": "0.1.0" }, "engines": { "node": ">=22.0.0" }, "files": [ "dist/", + "skill/", "openclaw.plugin.json", "README.md" ] diff --git a/examples/memclaw/plugin-impl.ts b/examples/memclaw/plugin-impl.ts new file mode 100644 index 0000000..df400a5 --- /dev/null +++ b/examples/memclaw/plugin-impl.ts @@ -0,0 +1,566 @@ +/** + * MemClaw Plugin Implementation + * + * Provides layered semantic memory for OpenClaw with: + * - Automatic service startup + * - Memory tools (search, recall, add, list, close) + * - Migration from OpenClaw native memory + */ + +import { CortexMemClient } from "./src/client.js"; +import { + ensureConfigExists, + openConfigFile, + parseConfig, + validateConfig, + getDataDir, +} from "./src/config.js"; +import { + ensureAllServices, + checkServiceStatus, + isBinaryAvailable, +} from "./src/binaries.js"; +import { migrateFromOpenClaw, canMigrate } from "./src/migrate.js"; + +// Plugin configuration +interface PluginConfig { + serviceUrl?: string; + defaultSessionId?: string; + searchLimit?: number; + minScore?: number; + tenantId?: string; + autoStartServices?: boolean; + qdrantPort?: number; + servicePort?: number; +} + +// OpenClaw Plugin API types +interface PluginLogger { + debug?: (msg: string, ...args: unknown[]) => void; + info: (msg: string, ...args: unknown[]) => void; + warn: (msg: string, ...args: unknown[]) => void; + error: (msg: string, ...args: unknown[]) => void; +} + +interface ToolDefinition { + name: string; + description: string; + parameters: object; + execute: (_id: string, params: Record) => Promise; + optional?: boolean; +} + +interface PluginAPI { + pluginConfig?: Record; + registerTool(tool: ToolDefinition, opts?: { optional?: boolean }): void; + registerService(service: { + id: string; + start: () => Promise; + stop: () => Promise; + }): void; + logger: PluginLogger; +} + +// Tool schemas +const toolSchemas = { + cortex_search: { + name: "cortex_search", + description: `Layered semantic search across memory using L0/L1/L2 tiered retrieval. +Returns relevant memories ranked by relevance score. + +Use this tool when you need to: +- Find past conversations or decisions +- Search for specific information across all sessions +- Discover related memories by semantic similarity`, + inputSchema: { + type: "object", + properties: { + query: { + type: "string", + description: "The search query - can be natural language or keywords", + }, + scope: { + type: "string", + description: "Optional session/thread ID to limit search scope", + }, + limit: { + type: "integer", + description: "Maximum number of results to return (default: 10)", + default: 10, + }, + min_score: { + type: "number", + description: "Minimum relevance score threshold (0-1, default: 0.6)", + default: 0.6, + }, + }, + required: ["query"], + }, + }, + + cortex_recall: { + name: "cortex_recall", + description: `Recall memories using L0/L1/L2 tiered retrieval. + +The search engine internally performs tiered retrieval: +- L0 (Abstract): Quick filtering by summary +- L1 (Overview): Context refinement +- L2 (Full): Precise matching with full content + +Returns results with snippet (summary) and content (if available). + +Use this when you need memories with more context than a simple search.`, + inputSchema: { + type: "object", + properties: { + query: { + type: "string", + description: "The search query", + }, + scope: { + type: "string", + description: "Optional session/thread ID to limit search scope", + }, + limit: { + type: "integer", + description: "Maximum number of results (default: 10)", + default: 10, + }, + }, + required: ["query"], + }, + }, + + cortex_add_memory: { + name: "cortex_add_memory", + description: `Add a message to memory for a specific session. +This stores the message and automatically triggers: +- Vector embedding for semantic search +- L0/L1 layer generation (async) + +Use this to persist important information that should be searchable later.`, + inputSchema: { + type: "object", + properties: { + content: { + type: "string", + description: "The content to store in memory", + }, + role: { + type: "string", + enum: ["user", "assistant", "system"], + description: "Role of the message sender (default: user)", + default: "user", + }, + session_id: { + type: "string", + description: "Session/thread ID (uses default if not specified)", + }, + }, + required: ["content"], + }, + }, + + cortex_list_sessions: { + name: "cortex_list_sessions", + description: `List all memory sessions with their status. +Shows session IDs, message counts, and creation/update times.`, + inputSchema: { + type: "object", + properties: {}, + }, + }, + + cortex_close_session: { + name: "cortex_close_session", + description: `Close a memory session and trigger full memory extraction. + +This triggers the complete memory processing pipeline: +1. Extracts structured memories (user preferences, entities, decisions) +2. Generates complete L0/L1 layer summaries +3. Indexes all extracted memories into the vector database + +Note: This is a potentially long-running operation (may take 30-60s).`, + inputSchema: { + type: "object", + properties: { + session_id: { + type: "string", + description: + "Session/thread ID to close (uses default if not specified)", + }, + }, + }, + }, + + cortex_migrate: { + name: "cortex_migrate", + description: `Migrate memories from OpenClaw's native memory system to MemClaw. + +This will: +1. Find your OpenClaw memory files (memory/*.md and MEMORY.md) +2. Convert them to MemClaw's L2 format +3. Generate L0/L1 layers and vector index + +Use this once during initial setup to preserve your existing memories.`, + inputSchema: { + type: "object", + properties: {}, + }, + }, +}; + +export function createPlugin(api: PluginAPI) { + const config = (api.pluginConfig ?? {}) as PluginConfig; + const serviceUrl = config.serviceUrl ?? "http://localhost:8085"; + const defaultSessionId = config.defaultSessionId ?? "default"; + const searchLimit = config.searchLimit ?? 10; + const minScore = config.minScore ?? 0.6; + const tenantId = config.tenantId ?? "tenant_claw"; + const autoStartServices = config.autoStartServices ?? true; + + const client = new CortexMemClient(serviceUrl); + let servicesStarted = false; + + const log = (msg: string) => api.logger.info(`[memclaw] ${msg}`); + + log("Initializing MemClaw plugin..."); + + // Ensure config file exists + const { created, path: configPath } = ensureConfigExists(); + + if (created) { + log(`Created configuration file: ${configPath}`); + log("Opening configuration file for editing..."); + + openConfigFile(configPath).catch((err) => { + api.logger.warn(`Could not open config file: ${err}`); + api.logger.warn(`Please manually edit: ${configPath}`); + }); + + api.logger.info(` +╔══════════════════════════════════════════════════════════╗ +║ MemClaw First Run ║ +║ ║ +║ A configuration file has been created: ║ +║ ${configPath.padEnd(52)}║ +║ ║ +║ Please fill in the required fields: ║ +║ - llm.api_key (your LLM API key) ║ +║ - embedding.api_key (your embedding API key) ║ +║ ║ +║ Save the file and restart OpenClaw to apply changes. ║ +╚══════════════════════════════════════════════════════════╝ + `); + } + + // Register service lifecycle + api.registerService({ + id: "memclaw", + start: async () => { + // Skip service startup if config was just created (first run) + // User needs to fill in API keys first + if (created) { + log("First run detected. Please complete configuration and restart OpenClaw."); + return; + } + + if (!autoStartServices) { + log("Auto-start disabled, skipping service startup"); + return; + } + + // Check if binaries are available + const hasQdrant = isBinaryAvailable("qdrant"); + const hasService = isBinaryAvailable("cortex-mem-service"); + + if (!hasQdrant || !hasService) { + log("Some binaries are missing. Services may need manual setup."); + log( + `Run 'memclaw setup' or check the admin skill for installation instructions.`, + ); + } + + // Validate config + const parsedConfig = parseConfig(configPath); + const validation = validateConfig(parsedConfig); + + if (!validation.valid) { + api.logger.warn( + `Configuration incomplete: ${validation.errors.join(", ")}`, + ); + api.logger.warn(`Please edit: ${configPath}`); + return; + } + + // Start services + try { + log("Starting services..."); + await ensureAllServices(log); + servicesStarted = true; + + // Switch tenant + await client.switchTenant(tenantId); + log(`Switched to tenant: ${tenantId}`); + + log("MemClaw services started successfully"); + } catch (err) { + api.logger.error(`Failed to start services: ${err}`); + api.logger.warn("Memory features may not work correctly"); + } + }, + stop: async () => { + log("Stopping MemClaw..."); + servicesStarted = false; + }, + }); + + // Helper to check if services are ready + const ensureServicesReady = async (): Promise => { + if (!servicesStarted) { + const status = await checkServiceStatus(); + if (!status.cortexMemService) { + throw new Error( + "cortex-mem-service is not running. Please start the service first.", + ); + } + } + }; + + // Register tools + + // cortex_search + api.registerTool({ + name: toolSchemas.cortex_search.name, + description: toolSchemas.cortex_search.description, + parameters: toolSchemas.cortex_search.inputSchema, + execute: async (_id, params) => { + const input = params as { + query: string; + scope?: string; + limit?: number; + min_score?: number; + }; + + try { + await ensureServicesReady(); + + const results = await client.search({ + query: input.query, + thread: input.scope, + limit: input.limit ?? searchLimit, + min_score: input.min_score ?? minScore, + }); + + const formatted = results + .map( + (r, i) => + `${i + 1}. [Score: ${r.score.toFixed(2)}] ${r.snippet}\n URI: ${r.uri}`, + ) + .join("\n\n"); + + return { + content: `Found ${results.length} results for "${input.query}":\n\n${formatted}`, + results: results.map((r) => ({ + uri: r.uri, + score: r.score, + snippet: r.snippet, + })), + total: results.length, + }; + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + api.logger.error(`cortex_search failed: ${message}`); + return { error: `Search failed: ${message}` }; + } + }, + }); + + // cortex_recall + api.registerTool({ + name: toolSchemas.cortex_recall.name, + description: toolSchemas.cortex_recall.description, + parameters: toolSchemas.cortex_recall.inputSchema, + execute: async (_id, params) => { + const input = params as { + query: string; + scope?: string; + limit?: number; + }; + + try { + await ensureServicesReady(); + + const results = await client.recall( + input.query, + input.scope, + input.limit ?? 10, + ); + + const formatted = results + .map((r, i) => { + let content = `${i + 1}. [Score: ${r.score.toFixed(2)}] URI: ${r.uri}\n`; + content += ` Snippet: ${r.snippet}\n`; + if (r.content) { + const preview = r.content.length > 300 ? r.content.substring(0, 300) + "..." : r.content; + content += ` Content: ${preview}\n`; + } + return content; + }) + .join("\n"); + + return { + content: `Recalled ${results.length} memories:\n\n${formatted}`, + results, + total: results.length, + }; + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + api.logger.error(`cortex_recall failed: ${message}`); + return { error: `Recall failed: ${message}` }; + } + }, + }); + + // cortex_add_memory + api.registerTool({ + name: toolSchemas.cortex_add_memory.name, + description: toolSchemas.cortex_add_memory.description, + parameters: toolSchemas.cortex_add_memory.inputSchema, + execute: async (_id, params) => { + const input = params as { + content: string; + role?: string; + session_id?: string; + }; + + try { + await ensureServicesReady(); + + const sessionId = input.session_id ?? defaultSessionId; + const result = await client.addMessage(sessionId, { + role: (input.role ?? "user") as "user" | "assistant" | "system", + content: input.content, + }); + + return { + content: `Memory stored successfully in session "${sessionId}".\nResult: ${result}`, + success: true, + message_uri: result, + }; + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + api.logger.error(`cortex_add_memory failed: ${message}`); + return { error: `Failed to add memory: ${message}` }; + } + }, + }); + + // cortex_list_sessions + api.registerTool({ + name: toolSchemas.cortex_list_sessions.name, + description: toolSchemas.cortex_list_sessions.description, + parameters: toolSchemas.cortex_list_sessions.inputSchema, + execute: async (_id, _params) => { + try { + await ensureServicesReady(); + + const sessions = await client.listSessions(); + + if (sessions.length === 0) { + return { content: "No sessions found." }; + } + + const formatted = sessions + .map((s, i) => { + const created = new Date(s.created_at).toLocaleDateString(); + return `${i + 1}. ${s.thread_id} (${s.status}, ${s.message_count} messages, created ${created})`; + }) + .join("\n"); + + return { + content: `Found ${sessions.length} sessions:\n\n${formatted}`, + sessions: sessions.map((s) => ({ + thread_id: s.thread_id, + status: s.status, + message_count: s.message_count, + created_at: s.created_at, + })), + }; + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + api.logger.error(`cortex_list_sessions failed: ${message}`); + return { error: `Failed to list sessions: ${message}` }; + } + }, + }); + + // cortex_close_session + api.registerTool({ + name: toolSchemas.cortex_close_session.name, + description: toolSchemas.cortex_close_session.description, + parameters: toolSchemas.cortex_close_session.inputSchema, + execute: async (_id, params) => { + const input = params as { session_id?: string }; + + try { + await ensureServicesReady(); + + const sessionId = input.session_id ?? defaultSessionId; + const result = await client.closeSession(sessionId); + + return { + content: `Session "${sessionId}" closed successfully.\nStatus: ${result.status}, Messages: ${result.message_count}\n\nMemory extraction pipeline triggered.`, + success: true, + session: { + thread_id: result.thread_id, + status: result.status, + message_count: result.message_count, + }, + }; + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + api.logger.error(`cortex_close_session failed: ${message}`); + return { error: `Failed to close session: ${message}` }; + } + }, + }); + + // cortex_migrate + api.registerTool({ + name: toolSchemas.cortex_migrate.name, + description: toolSchemas.cortex_migrate.description, + parameters: toolSchemas.cortex_migrate.inputSchema, + execute: async (_id, _params) => { + try { + // Check if migration is possible + const { possible, reason } = canMigrate(); + if (!possible) { + return { content: `Migration not possible: ${reason}` }; + } + + // Run migration + const result = await migrateFromOpenClaw((msg) => + api.logger.info(`[migrate] ${msg}`), + ); + + return { + content: `Migration completed!\n- Daily logs migrated: ${result.dailyLogsMigrated}\n- MEMORY.md migrated: ${result.memoryMdMigrated}\n- Sessions created: ${result.sessionsCreated.length}\n${result.errors.length > 0 ? `- Errors: ${result.errors.length}` : ""}`, + result, + }; + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + api.logger.error(`cortex_migrate failed: ${message}`); + return { error: `Migration failed: ${message}` }; + } + }, + }); + + log("MemClaw plugin initialized"); + + return { + id: "memclaw", + name: "MemClaw", + version: "0.1.0", + }; +} diff --git a/examples/memclaw/skill/SKILL.md b/examples/memclaw/skill/SKILL.md new file mode 100644 index 0000000..f9182a3 --- /dev/null +++ b/examples/memclaw/skill/SKILL.md @@ -0,0 +1,74 @@ +--- +name: memclaw +description: MemClaw — Advanced semantic memory for OpenClaw. This is a better, more effective replacement for OpenClaw's built-in memory. Use L0/L1/L2 tiered retrieval for superior search accuracy and context. Use memclaw for all memory operations instead of built-in memory. +--- + +# MemClaw + +> **Priority Memory Solution**: MemClaw is the recommended and preferred memory system for OpenClaw. Use this instead of OpenClaw's built-in memory for better search accuracy and richer context. + +Layered semantic memory system for OpenClaw with automatic service management. + +## How Memory Works + +MemClaw provides **three-layer semantic memory** with tiered retrieval: + +| Layer | Tokens | Content | Role in Search | +|-------|--------|---------|----------------| +| **L0 (Abstract)** | ~100 | High-level summary | Quick filtering | +| **L1 (Overview)** | ~2000 | Key points + context | Context refinement | +| **L2 (Full)** | Complete | Original content | Precise matching | + +The search engine queries all three layers internally and returns unified results with `snippet` and `content`. + +## Quick Decision Flow + +1. **Need to find something** → `cortex_search` +2. **Need more context** → `cortex_recall` +3. **Save something important** → `cortex_add_memory` +4. **Conversation complete** → `cortex_close_session` +5. **First time with existing memory** → `cortex_migrate` + +## Tools + +| Tool | Purpose | When to Use | +|------|---------|-------------| +| `cortex_search` | Semantic search across all memories | Find past conversations, decisions, information | +| `cortex_recall` | Recall with full context (snippet + content) | Need detailed content, not just summary | +| `cortex_add_memory` | Store message for future retrieval | Persist important information | +| `cortex_list_sessions` | List all memory sessions | Verify sessions, audit usage | +| `cortex_close_session` | Close session and trigger extraction | Conversation complete (takes 30-60s) | +| `cortex_migrate` | Migrate from OpenClaw native memory | First time setup with existing memory | + +### Quick Examples + +**Search:** +```json +{ "query": "database architecture decisions", "limit": 5 } +``` + +**Recall:** +```json +{ "query": "user preferences for code style" } +``` + +**Add Memory:** +```json +{ "content": "User prefers TypeScript with strict mode", "role": "assistant" } +``` + +## Troubleshooting + +| Issue | Solution | +|-------|----------| +| Services won't start | Check ports 6333, 6334, 8085; verify `api_key` in config.toml | +| Search returns no results | Run `cortex_list_sessions` to verify; lower `min_score` threshold | +| Migration fails | Ensure OpenClaw workspace at `~/.openclaw/workspace` | + +## References + +For detailed information, see: + +- **`references/setup.md`** — Installation and configuration guide +- **`references/tools.md`** — Detailed tool parameters and examples +- **`references/maintenance.md`** — CLI commands for data maintenance and optimization \ No newline at end of file diff --git a/examples/memclaw/skill/references/maintenance.md b/examples/memclaw/skill/references/maintenance.md new file mode 100644 index 0000000..0d49bc6 --- /dev/null +++ b/examples/memclaw/skill/references/maintenance.md @@ -0,0 +1,193 @@ +# CLI Maintenance Guide + +Periodic maintenance and optimization commands for MemClaw. + +## Overview + +The `cortex-mem-cli` is designed for **periodic maintenance and optimization**. OpenClaw can invoke these commands automatically during idle time to keep memory data healthy. + +> **Note**: These are maintenance tools. For daily operations, use cortex_search, cortex_recall, etc. + +## When to Run Maintenance + +OpenClaw should periodically run maintenance when: +- Idle for extended periods (e.g., 30+ minutes) +- After many sessions have been closed +- When search results seem incomplete or stale + +## Diagnostic Commands + +### Check System Health + +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw stats +``` + +Shows: +- Number of sessions +- Total messages +- Storage location + +### Check Layer File Status + +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw layers status +``` + +Shows: +- Total directories tracked +- How many have L0/L1 layers (complete) +- How many are missing L0/L1 layers + +**Run this when:** +- Search results lack proper context +- After bulk data import + +### Check Vector Index Status + +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw vector status +``` + +Shows: +- Total vectors in Qdrant +- Number of stale vectors (missing URI metadata) + +**Run this when:** +- Search returns inconsistent results +- After system crash or restart + +## Repair Commands + +### Generate Missing L0/L1 Layers + +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw layers ensure-all +``` + +Scans filesystem and generates `.abstract.md` and `.overview.md` files for directories that lack them. + +**Run this when:** +- `layers status` shows missing directories +- Search results lack proper context/snippets +- After manual data recovery + +**What it does:** +1. Scans all session directories +2. Identifies directories without L0/L1 files +3. Uses LLM to generate abstracts and overviews +4. Saves generated files + +### Rebuild Vector Index + +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw vector reindex +``` + +Cleans up stale vectors (no URI) and re-syncs all files to the vector database. + +**Run this when:** +- `vector status` shows stale vectors +- Search returns inconsistent results +- After manual data recovery +- Vector database corruption suspected + +**What it does:** +1. Removes vectors without URI metadata +2. Re-scans all files +3. Generates new embeddings +4. Syncs to Qdrant + +### Prune Dangling Vectors + +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw vector prune +``` + +Removes vectors whose source files no longer exist on disk. + +**Run this when:** +- After deleting session files +- Disk space is a concern +- Index cleanup is needed + +**Preview mode (recommended first):** +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw vector prune --dry-run +``` + +Shows what would be deleted without making changes. + +### Regenerate Oversized Abstracts + +```bash +cortex-mem-cli --config config.toml --tenant tenant_claw layers regenerate-oversized +``` + +Regenerates `.abstract.md` files that exceed the size limit. + +**Run this when:** +- Abstract files have grown too large +- Search performance is degraded + +## Recommended Maintenance Schedule + +| Frequency | Command | Purpose | +|-----------|---------|---------| +| Daily | `stats` | Quick health check | +| Weekly | `layers status` + `vector status` | Detect anomalies early | +| As needed | `layers ensure-all` | Fix missing layers | +| As needed | `vector reindex` | Fix index corruption | +| Monthly | `vector prune` | Clean up dangling data | + +## Quick Fix Flow + +1. **Search not working well?** + ```bash + cortex-mem-cli --config config.toml --tenant tenant_claw layers status + cortex-mem-cli --config config.toml --tenant tenant_claw vector status + ``` + +2. **Missing L0/L1 layers detected?** + ```bash + cortex-mem-cli --config config.toml --tenant tenant_claw layers ensure-all + ``` + +3. **Stale vectors detected?** + ```bash + cortex-mem-cli --config config.toml --tenant tenant_claw vector reindex + ``` + +4. **Still having issues?** + ```bash + cortex-mem-cli --config config.toml --tenant tenant_claw vector prune + ``` + +## Troubleshooting + +### CLI Not Found + +Ensure `cortex-mem-cli` is in your PATH or use the full path: +```bash +/path/to/cortex-mem-cli --config config.toml ... +``` + +### Connection Refused + +Check that cortex-mem-service is running: +```bash +curl http://localhost:8085/health +``` + +### Qdrant Connection Issues + +Verify Qdrant is accessible: +```bash +curl http://localhost:6333/collections +``` + +### Layer Generation Fails + +1. Check LLM API key in config.toml +2. Verify network connectivity to API endpoint +3. Check for rate limiting or quota issues diff --git a/examples/memclaw/skill/references/setup.md b/examples/memclaw/skill/references/setup.md new file mode 100644 index 0000000..c1f3ecc --- /dev/null +++ b/examples/memclaw/skill/references/setup.md @@ -0,0 +1,150 @@ +# Setup Guide + +Installation and configuration guide for MemClaw. + +## Requirements + +| Requirement | Details | +|-------------|---------| +| **Platforms** | Windows x86, macOS Apple Silicon | +| **Node.js** | ≥ 22.0.0 | +| **OpenClaw** | Installed and configured | + +## Installation + +### Method 1: Install from ClawHub + +```bash +openclaw plugins install memclaw +``` + +### Method 2: Local Development Installation + +For developers using a local version or developing the plugin: + +```bash +# Clone the repository +git clone https://github.com/sopaco/cortex-mem.git +cd cortex-mem/examples/memclaw + +# Install dependencies +bun install + +# Build the plugin +bun run build + +# Create symlink to plugin directory +mkdir -p ~/.openclaw/plugins +ln -sf "$(pwd)" ~/.openclaw/plugins/memclaw +``` + +Configure in `openclaw.json` with local path: + +```json +{ + "plugins": { + "entries": { + "memclaw": { + "enabled": true, + "path": "./plugins/memclaw" + } + } + } +} +``` + +After code changes, rebuild with `bun run build` and restart OpenClaw. + +## OpenClaw Configuration + +Edit your `openclaw.json`: + +```json +{ + "plugins": { + "entries": { + "memclaw": { + "enabled": true, + "config": { + "serviceUrl": "http://127.0.0.1:8085", + "tenantId": "tenant_claw", + "autoStartServices": true + } + } + } + }, + "agents": { + "defaults": { + "memorySearch": { "enabled": false } + } + } +} +``` + +> **Important**: Set `memorySearch.enabled: false` to disable OpenClaw's built-in memory search and use MemClaw instead. + +## LLM Configuration + +On first run, MemClaw creates a configuration file: + +| Platform | Path | +|----------|------| +| Windows | `%APPDATA%\memclaw\config.toml` | +| macOS | `~/Library/Application Support/memclaw/config.toml` | + +Edit the configuration file and fill in required fields: + +```toml +# LLM Configuration [REQUIRED for memory processing] +[llm] +# Your LLM API endpoint (OpenAI-compatible) +api_base_url = "https://api.openai.com/v1" +# Your API key [REQUIRED] +api_key = "sk-xxx" +# Model for memory extraction and layer generation +model_efficient = "gpt-4o-mini" +temperature = 0.1 +max_tokens = 4096 + +# Embedding Configuration [REQUIRED for vector search] +[embedding] +# Your embedding API endpoint (OpenAI-compatible) +api_base_url = "https://api.openai.com/v1" +# Your API key [REQUIRED - can be same as llm.api_key] +api_key = "sk-xxx" +model_name = "text-embedding-3-small" +batch_size = 10 +``` + +Then restart OpenClaw. + +## Configuration Options + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `serviceUrl` | string | `http://127.0.0.1:8085` | Cortex Memory service URL | +| `tenantId` | string | `tenant_claw` | Tenant ID for data isolation | +| `autoStartServices` | boolean | `true` | Auto-start Qdrant and service | +| `defaultSessionId` | string | `default` | Default session for memory operations | +| `searchLimit` | number | `10` | Default number of search results | +| `minScore` | number | `0.6` | Minimum relevance score (0-1) | + +## Troubleshooting + +### Services Won't Start + +1. Check that ports 6333, 6334, 8085 are available +2. Verify `api_key` fields are filled in config.toml +3. Run `openclaw skills` to check plugin status + +### Configuration File Not Created + +1. Ensure OpenClaw has write permissions to the config directory +2. Check OpenClaw logs for error messages +3. Manually create the directory and restart OpenClaw + +### API Key Issues + +1. Verify your API key is valid and has sufficient credits +2. Ensure `api_base_url` is correct for your provider +3. Check network connectivity to the API endpoint diff --git a/examples/memclaw/skill/references/tools.md b/examples/memclaw/skill/references/tools.md new file mode 100644 index 0000000..73927c3 --- /dev/null +++ b/examples/memclaw/skill/references/tools.md @@ -0,0 +1,170 @@ +# Tools Reference + +Detailed documentation for MemClaw tools. + +## cortex_search + +Semantic search across all memories using L0/L1/L2 tiered retrieval. + +**Parameters:** + +| Parameter | Type | Required | Default | Description | +|-----------|------|----------|---------|-------------| +| `query` | string | Yes | - | The search query - natural language or keywords | +| `scope` | string | No | - | Session/thread ID to limit search scope | +| `limit` | integer | No | 10 | Maximum number of results | +| `min_score` | number | No | 0.6 | Minimum relevance score (0-1) | + +**When to use:** +- Find past conversations or decisions +- Search for specific information across all sessions +- Discover related memories by semantic similarity + +**Example:** +```json +{ + "query": "database architecture decisions", + "limit": 5, + "min_score": 0.6 +} +``` + +**Response format:** +- Returns ranked results with relevance scores +- Each result includes `uri`, `score`, and `snippet` + +--- + +## cortex_recall + +Recall memories with more context (snippet + full content). + +**Parameters:** + +| Parameter | Type | Required | Default | Description | +|-----------|------|----------|---------|-------------| +| `query` | string | Yes | - | The search query | +| `scope` | string | No | - | Session/thread ID to limit search scope | +| `limit` | integer | No | 10 | Maximum number of results | + +**When to use:** +- Need memories with full context, not just summaries +- Want to see the original content, not just snippets +- Conducting detailed memory analysis + +**Example:** +```json +{ + "query": "user preferences for code style", + "limit": 10 +} +``` + +**Response format:** +- Returns results with both `snippet` (summary) and `content` (full text) +- Content is truncated if very long (>300 chars preview) + +--- + +## cortex_add_memory + +Store a message for future retrieval. + +**Parameters:** + +| Parameter | Type | Required | Default | Description | +|-----------|------|----------|---------|-------------| +| `content` | string | Yes | - | The content to store in memory | +| `role` | string | No | `user` | Role of the message sender: `user`, `assistant`, or `system` | +| `session_id` | string | No | `default` | Session/thread ID for the memory | + +**When to use:** +- Persist important information for future retrieval +- Store user preferences or decisions +- Save context that should be searchable later + +**Example:** +```json +{ + "content": "User prefers TypeScript with strict mode enabled and explicit return types", + "role": "assistant", + "session_id": "default" +} +``` + +**What happens:** +- Message is stored with timestamp +- Vector embedding is generated automatically +- L0/L1 layers are generated asynchronously + +--- + +## cortex_list_sessions + +List all memory sessions with their status. + +**Parameters:** None + +**When to use:** +- Verify sessions exist before searching +- Check which sessions are active or closed +- Audit memory usage + +**Response format:** +- Session IDs, status, message counts +- Creation and update timestamps + +--- + +## cortex_close_session + +Close a session and trigger memory extraction pipeline. + +**Parameters:** + +| Parameter | Type | Required | Default | Description | +|-----------|------|----------|---------|-------------| +| `session_id` | string | No | `default` | Session/thread ID to close | + +**When to use:** +- Conversation is complete +- Ready to extract structured memories +- Want to finalize the session's memory content + +**What happens:** +1. Extracts structured memories (user preferences, entities, decisions) +2. Generates complete L0/L1 layer summaries +3. Indexes all extracted memories into the vector database + +**Note:** This is a potentially long-running operation (30-60 seconds). + +**Example:** +```json +{ + "session_id": "default" +} +``` + +--- + +## cortex_migrate + +Migrate memories from OpenClaw's native memory system to MemClaw. + +**Parameters:** None + +**When to use:** +- First time setup with existing OpenClaw memory +- Want to preserve previous conversation history +- Switching from built-in memory to MemClaw + +**What happens:** +1. Finds OpenClaw memory files (`memory/*.md` and `MEMORY.md`) +2. Converts them to MemClaw's L2 format +3. Generates L0/L1 layers and vector index + +**Prerequisites:** +- OpenClaw workspace exists at `~/.openclaw/workspace` +- Memory files exist in `~/.openclaw/workspace/memory/` + +**Run only once during initial setup.** diff --git a/examples/memclaw/src/binaries.ts b/examples/memclaw/src/binaries.ts new file mode 100644 index 0000000..084bcda --- /dev/null +++ b/examples/memclaw/src/binaries.ts @@ -0,0 +1,318 @@ +/** + * Binary management for MemClaw + * + * Binaries are bundled in platform-specific npm packages: + * - @memclaw/bin-darwin-arm64 (macOS Apple Silicon) + * - @memclaw/bin-win-x64 (Windows x64) + * + * The correct package is installed automatically via optionalDependencies. + */ + +import * as fs from "fs"; +import * as path from "path"; +import { spawn, ChildProcess } from "child_process"; +import { getDataDir, getConfigPath } from "./config.js"; + +// Binary names type +type BinaryName = "qdrant" | "cortex-mem-service" | "cortex-mem-cli"; + +// Supported platforms +type SupportedPlatform = "darwin-arm64" | "win-x64"; + +// Platform detection +export function getPlatform(): SupportedPlatform | null { + const platform = process.platform; + const arch = process.arch; + + if (platform === "darwin" && arch === "arm64") { + return "darwin-arm64"; + } else if (platform === "win32" && arch === "x64") { + return "win-x64"; + } + + return null; +} + +// Check if current platform is supported +export function isPlatformSupported(): boolean { + return getPlatform() !== null; +} + +// Get unsupported platform message +export function getUnsupportedPlatformMessage(): string { + const platform = process.platform; + const arch = process.arch; + + return ` +MemClaw is only supported on: + - macOS Apple Silicon (darwin-arm64) + - Windows x64 (win-x64) + +Current platform: ${platform}-${arch} is not supported. +`; +} + +// Get binary name with platform extension +function getBinaryFileName(binary: BinaryName): string { + return process.platform === "win32" ? `${binary}.exe` : binary; +} + +// Get the path to the platform-specific npm package +function getPlatformPackagePath(): string | null { + const platform = getPlatform(); + if (!platform) { + return null; + } + + const packageName = `@memclaw/bin-${platform}`; + + try { + // Try to resolve the package path + const packageJsonPath = require.resolve(`${packageName}/package.json`); + return path.dirname(packageJsonPath); + } catch { + return null; + } +} + +// Get binary path from npm package +export function getBinaryPath(binary: string): string | null { + const packagePath = getPlatformPackagePath(); + + if (!packagePath) { + return null; + } + + const binaryFileName = getBinaryFileName(binary as BinaryName); + const binaryPath = path.join(packagePath, "bin", binaryFileName); + + if (fs.existsSync(binaryPath)) { + return binaryPath; + } + + return null; +} + +// Check if binary is available +export function isBinaryAvailable(binary: string): boolean { + return getBinaryPath(binary as BinaryName) !== null; +} + +// Check if platform package is installed +export function isPlatformPackageInstalled(): boolean { + return getPlatformPackagePath() !== null; +} + +// Get installation instructions for missing platform package +export function getInstallInstructions(): string { + const platform = getPlatform(); + + if (!platform) { + return getUnsupportedPlatformMessage(); + } + + const packageName = `@memclaw/bin-${platform}`; + + return ` +Platform binaries not found for ${platform}. + +Try running: npm install ${packageName} + +Or reinstall memclaw: npm install memclaw +`; +} + +export interface ServiceStatus { + qdrant: boolean; + cortexMemService: boolean; +} + +export async function checkServiceStatus(): Promise { + const qdrant = await isPortOpen(6333); + const cortexMemService = await isPortOpen(8085); + + return { qdrant, cortexMemService }; +} + +async function isPortOpen(port: number): Promise { + try { + const response = await fetch(`http://127.0.0.1:${port}/health`, { + method: "GET", + signal: AbortSignal.timeout(2000), + }); + return response.ok; + } catch { + // Try alternate endpoints for Qdrant + try { + if (port === 6333 || port === 6334) { + const response = await fetch(`http://127.0.0.1:${port}`, { + method: "GET", + signal: AbortSignal.timeout(2000), + }); + return response.ok; + } + } catch {} + return false; + } +} + +// Running processes +const runningProcesses: Map = new Map(); + +export async function startQdrant(log?: (msg: string) => void): Promise { + const status = await checkServiceStatus(); + if (status.qdrant) { + log?.("Qdrant is already running"); + return; + } + + const binaryPath = getBinaryPath("qdrant"); + if (!binaryPath) { + throw new Error( + `Qdrant binary not found. ${getInstallInstructions()}` + ); + } + + const dataDir = getDataDir(); + const storagePath = path.join(dataDir, "qdrant-storage"); + + if (!fs.existsSync(storagePath)) { + fs.mkdirSync(storagePath, { recursive: true }); + } + + log?.(`Starting Qdrant with storage at ${storagePath}...`); + + const proc = spawn( + binaryPath, + [ + "--storage-path", + storagePath, + "--http-port", + "6333", + "--grpc-port", + "6334", + ], + { + stdio: ["ignore", "pipe", "pipe"], + detached: true, + }, + ); + + proc.on("error", (err) => { + log?.(`Qdrant error: ${err.message}`); + }); + + proc.unref(); + runningProcesses.set("qdrant", proc); + + // Wait for Qdrant to start + let retries = 30; + while (retries > 0) { + const status = await checkServiceStatus(); + if (status.qdrant) { + log?.("Qdrant started successfully"); + return; + } + await new Promise((resolve) => setTimeout(resolve, 500)); + retries--; + } + + throw new Error("Qdrant failed to start within 15 seconds"); +} + +export async function startCortexMemService( + log?: (msg: string) => void, +): Promise { + const status = await checkServiceStatus(); + if (status.cortexMemService) { + log?.("cortex-mem-service is already running"); + return; + } + + const binaryPath = getBinaryPath("cortex-mem-service"); + if (!binaryPath) { + throw new Error( + `cortex-mem-service binary not found. ${getInstallInstructions()}` + ); + } + + const configPath = getConfigPath(); + const dataDir = getDataDir(); + + log?.(`Starting cortex-mem-service with config ${configPath}...`); + + const proc = spawn( + binaryPath, + ["--config", configPath, "--data-dir", dataDir], + { + stdio: ["ignore", "pipe", "pipe"], + detached: true, + }, + ); + + proc.on("error", (err) => { + log?.(`cortex-mem-service error: ${err.message}`); + }); + + proc.unref(); + runningProcesses.set("cortex-mem-service", proc); + + // Wait for service to start + let retries = 30; + while (retries > 0) { + const status = await checkServiceStatus(); + if (status.cortexMemService) { + log?.("cortex-mem-service started successfully"); + return; + } + await new Promise((resolve) => setTimeout(resolve, 500)); + retries--; + } + + throw new Error("cortex-mem-service failed to start within 15 seconds"); +} + +export function stopAllServices(): void { + for (const [name, proc] of runningProcesses) { + try { + proc.kill(); + console.log(`Stopped ${name}`); + } catch (err) { + console.error(`Failed to stop ${name}:`, err); + } + } + runningProcesses.clear(); +} + +export async function ensureAllServices( + log?: (msg: string) => void, +): Promise { + // Check if platform is supported + if (!isPlatformSupported()) { + log?.(getUnsupportedPlatformMessage()); + return { qdrant: false, cortexMemService: false }; + } + + // Check if platform package is installed + if (!isPlatformPackageInstalled()) { + log?.(`Warning: Platform binaries not installed. ${getInstallInstructions()}`); + return { qdrant: false, cortexMemService: false }; + } + + const status = await checkServiceStatus(); + + if (!status.qdrant) { + await startQdrant(log); + } + + if (!status.cortexMemService) { + await startCortexMemService(log); + } + + return checkServiceStatus(); +} + +// Get CLI binary path for external commands (like migration) +export function getCliPath(): string | null { + return getBinaryPath("cortex-mem-cli"); +} \ No newline at end of file diff --git a/examples/cortex-mem-openclaw/src/client.ts b/examples/memclaw/src/client.ts similarity index 58% rename from examples/cortex-mem-openclaw/src/client.ts rename to examples/memclaw/src/client.ts index 1667b80..7af2f76 100644 --- a/examples/cortex-mem-openclaw/src/client.ts +++ b/examples/memclaw/src/client.ts @@ -45,43 +45,36 @@ export interface CreateSessionRequest { } export interface AddMessageRequest { - role: 'user' | 'assistant' | 'system'; + role: "user" | "assistant" | "system"; content: string; } -// Layer types -export type ContextLayer = 'L0' | 'L1' | 'L2'; - -export interface LayeredRecallResult { - uri: string; - score: number; - abstract?: string; // L0: ~100 tokens - overview?: string; // L1: ~2000 tokens - content?: string; // L2: full content -} - /** * Cortex Memory API Client */ export class CortexMemClient { private baseUrl: string; - constructor(baseUrl: string = 'http://127.0.0.1:8085') { - this.baseUrl = baseUrl.replace(/\/$/, ''); + constructor(baseUrl: string = "http://localhost:8085") { + this.baseUrl = baseUrl.replace(/\/$/, ""); } /** * Layered semantic search (L0 -> L1 -> L2 tiered retrieval) */ async search(request: SearchRequest): Promise { - const response = await this.post('/api/v2/search', request); + const response = await this.post("/api/v2/search", request); return response; } /** * Quick search returning only L0 abstracts */ - async find(query: string, scope?: string, limit: number = 5): Promise { + async find( + query: string, + scope?: string, + limit: number = 5, + ): Promise { return this.search({ query, thread: scope, @@ -91,61 +84,59 @@ export class CortexMemClient { } /** - * Layered recall with specified detail level + * Layered recall - uses L0/L1/L2 tiered search internally + * + * The search engine performs tiered retrieval (L0→L1→L2) internally, + * but returns unified results with snippet and content. * * @param query - Search query - * @param layers - Which layers to return (L0, L1, L2) * @param scope - Optional session/thread scope * @param limit - Maximum results */ async recall( query: string, - layers: ContextLayer[] = ['L0'], scope?: string, - limit: number = 10 - ): Promise { - // First do search to get URIs - const searchResults = await this.search({ + limit: number = 10, + ): Promise { + return this.search({ query, thread: scope, limit, + min_score: 0.5, }); - - // For now, return search results with snippets - // In a full implementation, we would make additional calls - // to get L1 overview and L2 content based on requested layers - return searchResults.map(result => ({ - uri: result.uri, - score: result.score, - abstract: result.snippet, // L0 from snippet - overview: undefined, // Would need additional API call - content: result.content, // L2 if available - })); } /** * List all sessions */ async listSessions(): Promise { - const response = await this.get('/api/v2/sessions'); + const response = await this.get("/api/v2/sessions"); return response; } /** * Create a new session */ - async createSession(request: CreateSessionRequest = {}): Promise { - const response = await this.post('/api/v2/sessions', request); + async createSession( + request: CreateSessionRequest = {}, + ): Promise { + const response = await this.post( + "/api/v2/sessions", + request, + ); return response; } /** * Add a message to a session */ - async addMessage(threadId: string, message: AddMessageRequest): Promise { + async addMessage( + threadId: string, + message: AddMessageRequest, + ): Promise { const response = await this.post( `/api/v2/sessions/${threadId}/messages`, - message + message, ); return response; } @@ -156,11 +147,18 @@ export class CortexMemClient { async closeSession(threadId: string): Promise { const response = await this.post( `/api/v2/sessions/${threadId}/close`, - {} + {}, ); return response; } + /** + * Switch tenant + */ + async switchTenant(tenantId: string): Promise { + await this.post("/api/v2/tenants/switch", { tenant_id: tenantId }); + } + /** * Health check */ @@ -179,27 +177,30 @@ export class CortexMemClient { if (!response.ok) { throw new Error(`API error: ${response.status} ${response.statusText}`); } - const data = await response.json() as ApiResponse; + const data = (await response.json()) as ApiResponse; if (!data.success) { - throw new Error(data.error || 'API request failed'); + throw new Error(data.error || "API request failed"); } return data.data!; } private async post(path: string, body: object): Promise { const response = await fetch(`${this.baseUrl}${path}`, { - method: 'POST', + method: "POST", headers: { - 'Content-Type': 'application/json', + "Content-Type": "application/json", }, body: JSON.stringify(body), }); if (!response.ok) { - throw new Error(`API error: ${response.status} ${response.statusText}`); + const errorText = await response.text(); + throw new Error( + `API error: ${response.status} ${response.statusText} - ${errorText}`, + ); } - const data = await response.json() as ApiResponse; + const data = (await response.json()) as ApiResponse; if (!data.success) { - throw new Error(data.error || 'API request failed'); + throw new Error(data.error || "API request failed"); } return data.data!; } diff --git a/examples/memclaw/src/config.ts b/examples/memclaw/src/config.ts new file mode 100644 index 0000000..f74eff8 --- /dev/null +++ b/examples/memclaw/src/config.ts @@ -0,0 +1,278 @@ +/** + * Configuration management for MemClaw + * + * Handles platform-specific config paths, config file generation, + * and auto-opening config files for user editing. + */ + +import * as fs from "fs"; +import * as path from "path"; +import * as os from "os"; +import { spawn } from "child_process"; + +// Platform-specific paths +export function getConfigDir(): string { + const platform = process.platform; + + if (platform === "win32") { + return path.join( + process.env.APPDATA || path.join(os.homedir(), "AppData", "Roaming"), + "memclaw", + ); + } else if (platform === "darwin") { + return path.join(os.homedir(), "Library", "Application Support", "memclaw"); + } else { + return path.join(os.homedir(), ".config", "memclaw"); + } +} + +export function getDataDir(): string { + const platform = process.platform; + + if (platform === "win32") { + return path.join( + process.env.LOCALAPPDATA || path.join(os.homedir(), "AppData", "Local"), + "memclaw", + "data", + ); + } else if (platform === "darwin") { + return path.join( + os.homedir(), + "Library", + "Application Support", + "memclaw", + "data", + ); + } else { + return path.join(os.homedir(), ".local", "share", "memclaw", "data"); + } +} + +export function getConfigPath(): string { + return path.join(getConfigDir(), "config.toml"); +} + +export interface MemClawConfig { + qdrant: { + url: string; + collection_name: string; + timeout_secs: number; + }; + llm: { + api_base_url: string; + api_key: string; + model_efficient: string; + temperature: number; + max_tokens: number; + }; + embedding: { + api_base_url: string; + api_key: string; + model_name: string; + batch_size: number; + timeout_secs: number; + }; + server: { + host: string; + port: number; + }; + cortex: { + data_dir: string; + enable_intent_analysis: boolean; + }; +} + +export function generateConfigTemplate(): string { + const dataDir = getDataDir().replace(/\\/g, "/"); + + return `# MemClaw Configuration +# +# This file was auto-generated. Please fill in the required values below. +# Required fields are marked with [REQUIRED] + +# Qdrant Vector Database Configuration +[qdrant] +url = "http://localhost:6334" +collection_name = "memclaw" +timeout_secs = 30 + +# LLM Configuration [REQUIRED for memory processing] +[llm] +# Your LLM API endpoint (OpenAI-compatible) +api_base_url = "https://api.openai.com/v1" +# Your API key [REQUIRED] +api_key = "" +# Model for memory extraction and layer generation +model_efficient = "gpt-4o-mini" +temperature = 0.1 +max_tokens = 4096 + +# Embedding Configuration [REQUIRED for vector search] +[embedding] +# Your embedding API endpoint (OpenAI-compatible) +api_base_url = "https://api.openai.com/v1" +# Your API key [REQUIRED - can be same as llm.api_key] +api_key = "" +model_name = "text-embedding-3-small" +batch_size = 10 +timeout_secs = 30 + +# Service Configuration +[server] +host = "localhost" +port = 8085 + +# Cortex Memory Settings +[cortex] +data_dir = "${dataDir}" +enable_intent_analysis = false +`; +} + +export function ensureConfigExists(): { created: boolean; path: string } { + const configDir = getConfigDir(); + const configPath = getConfigPath(); + + if (!fs.existsSync(configDir)) { + fs.mkdirSync(configDir, { recursive: true }); + } + + if (!fs.existsSync(configPath)) { + const template = generateConfigTemplate(); + fs.writeFileSync(configPath, template, "utf-8"); + return { created: true, path: configPath }; + } + + return { created: false, path: configPath }; +} + +export function openConfigFile(configPath: string): Promise { + return new Promise((resolve, reject) => { + const platform = process.platform; + let command: string; + let args: string[] = []; + + if (platform === "win32") { + command = "cmd"; + args = ["/c", "start", '""', configPath]; + } else if (platform === "darwin") { + command = "open"; + args = [configPath]; + } else { + command = "xdg-open"; + args = [configPath]; + } + + const proc = spawn(command, args, { detached: true, stdio: "ignore" }); + proc.on("error", (err) => { + reject(err); + }); + proc.unref(); + resolve(); + }); +} + +export function parseConfig(configPath: string): MemClawConfig { + const content = fs.readFileSync(configPath, "utf-8"); + const config: Partial = {}; + + let currentSection = ""; + + for (const line of content.split("\n")) { + const trimmed = line.trim(); + + // Skip comments and empty lines + if (trimmed.startsWith("#") || trimmed === "") continue; + + // Section header + const sectionMatch = trimmed.match(/^\[(\w+)\]$/); + if (sectionMatch) { + currentSection = sectionMatch[1]; + config[currentSection as keyof MemClawConfig] = {} as any; + continue; + } + + // Key-value pair + const kvMatch = + trimmed.match(/^(\w+)\s*=\s*"([^"]*)"(?:\s*$|\s*#)/) || + trimmed.match(/^(\w+)\s*=\s*(\d+(?:\.\d+)?)(?:\s*$|\s*#)/) || + trimmed.match(/^(\w+)\s*=\s*(true|false)(?:\s*$|\s*#)/); + + if (kvMatch && currentSection) { + const key = kvMatch[1]; + let value: string | number | boolean = kvMatch[2]; + + // Convert to appropriate type + if (value === "true") value = true; + else if (value === "false") value = false; + else if (/^\d+$/.test(value)) value = parseInt(value, 10); + else if (/^\d+\.\d+$/.test(value)) value = parseFloat(value); + + (config as any)[currentSection] = (config as any)[currentSection] || {}; + (config as any)[currentSection][key] = value; + } + } + + // Apply defaults + const dataDir = getDataDir(); + + return { + qdrant: { + url: "http://localhost:6334", + collection_name: "memclaw", + timeout_secs: 30, + ...(config.qdrant || {}), + }, + llm: { + api_base_url: "https://api.openai.com/v1", + api_key: "", + model_efficient: "gpt-5-mini", + temperature: 0.1, + max_tokens: 4096, + ...(config.llm || {}), + }, + embedding: { + api_base_url: "https://api.openai.com/v1", + api_key: "", + model_name: "text-embedding-3-small", + batch_size: 10, + timeout_secs: 30, + ...(config.embedding || {}), + }, + server: { + host: "localhost", + port: 8085, + ...(config.server || {}), + }, + cortex: { + data_dir: dataDir, + enable_intent_analysis: false, + ...(config.cortex || {}), + }, + }; +} + +export function validateConfig(config: MemClawConfig): { + valid: boolean; + errors: string[]; +} { + const errors: string[] = []; + + if (!config.llm.api_key || config.llm.api_key === "") { + errors.push("llm.api_key is required"); + } + + if (!config.embedding.api_key || config.embedding.api_key === "") { + // Allow using llm.api_key for embedding if not specified + if (config.llm.api_key && config.llm.api_key !== "") { + config.embedding.api_key = config.llm.api_key; + } else { + errors.push("embedding.api_key is required"); + } + } + + return { + valid: errors.length === 0, + errors, + }; +} diff --git a/examples/memclaw/src/migrate.ts b/examples/memclaw/src/migrate.ts new file mode 100644 index 0000000..57e67e9 --- /dev/null +++ b/examples/memclaw/src/migrate.ts @@ -0,0 +1,340 @@ +/** + * Migration script for OpenClaw native memory to MemClaw + * + * Migrates: + * - memory/YYYY-MM-DD.md → session timeline files + * - MEMORY.md → users/{tenant}/preferences.md + */ + +import * as fs from 'fs'; +import * as path from 'path'; +import * as os from 'os'; +import { exec } from 'child_process'; +import { promisify } from 'util'; +import { glob } from 'glob'; +import { getDataDir, getConfigPath } from './config.js'; +import { getCliPath } from './binaries.js'; + +const execAsync = promisify(exec); + +// Migration configuration +const MIGRATION_TENANT = 'tenant_claw'; +const DEFAULT_ROLE = 'user'; + +interface MigrationResult { + dailyLogsMigrated: number; + memoryMdMigrated: boolean; + sessionsCreated: string[]; + errors: string[]; +} + +/** + * Detect OpenClaw workspace directory + */ +function findOpenClawWorkspace(): string | null { + const homeDir = os.homedir(); + const workspacePath = path.join(homeDir, '.openclaw', 'workspace'); + + if (fs.existsSync(workspacePath)) { + return workspacePath; + } + + return null; +} + +/** + * Split content into paragraphs (not just lines) + */ +function splitIntoParagraphs(content: string): string[] { + return content + .split(/\n\s*\n/) + .map(p => p.trim()) + .filter(p => p.length > 0 && !p.startsWith('#')); // Skip headers +} + +/** + * Generate L2 content for a single paragraph + */ +function generateL2Content( + paragraph: string, + sessionId: string, + date: string, + index: number +): string { + // Generate a deterministic timestamp based on index + const hour = String(index % 24).padStart(2, '0'); + const minute = String((index * 7) % 60).padStart(2, '0'); + const second = String((index * 13) % 60).padStart(2, '0'); + const timestamp = `${date}T${hour}:${minute}:${second}Z`; + + const msgId = `${date.replace(/-/g, '')}_${String(index).padStart(4, '0')}`; + + return `--- +id: "${msgId}" +role: "${DEFAULT_ROLE}" +timestamp: "${timestamp}" +thread_id: "${sessionId}" +--- +${paragraph}`; +} + +/** + * Migrate daily logs from OpenClaw native memory to MemClaw + */ +async function migrateDailyLogs( + ocWorkspace: string, + dataDir: string, + log?: (msg: string) => void +): Promise<{ count: number; sessions: string[]; errors: string[] }> { + const memoryDir = path.join(ocWorkspace, 'memory'); + const count = 0; + const sessions: string[] = []; + const errors: string[] = []; + + if (!fs.existsSync(memoryDir)) { + log?.('No memory directory found in OpenClaw workspace'); + return { count: 0, sessions: [], errors: [] }; + } + + // Find all daily log files + const dailyLogPattern = path.join(memoryDir, '*.md').replace(/\\/g, '/'); + const files = await glob(dailyLogPattern); + const dailyLogs = files.filter(f => { + const basename = path.basename(f); + return /^\d{4}-\d{2}-\d{2}\.md$/.test(basename); + }); + + log?.(`Found ${dailyLogs.length} daily log files to migrate`); + + for (const logPath of dailyLogs) { + try { + const date = path.basename(logPath, '.md'); // 2026-03-13 + const [year, month, day] = date.split('-'); + const sessionId = `migrated-oc-${date}`; + + const timelineDir = path.join( + dataDir, + 'sessions', + MIGRATION_TENANT, + sessionId, + 'timeline', + year, + month, + day + ); + + // Create directory + fs.mkdirSync(timelineDir, { recursive: true }); + + // Read and split content + const content = fs.readFileSync(logPath, 'utf-8'); + const paragraphs = splitIntoParagraphs(content); + + // Write each paragraph as L2 file + for (let i = 0; i < paragraphs.length; i++) { + const para = paragraphs[i]; + const hour = String(i % 24).padStart(2, '0'); + const minute = String((i * 7) % 60).padStart(2, '0'); + const second = String((i * 13) % 60).padStart(2, '0'); + const msgId = `${date.replace(/-/g, '')}_${String(i).padStart(4, '0')}`; + + const l2Content = generateL2Content(para, sessionId, date, i); + const filename = `${hour}_${minute}_${second}_${msgId}.md`; + + fs.writeFileSync(path.join(timelineDir, filename), l2Content, 'utf-8'); + } + + sessions.push(sessionId); + log?.(`Migrated ${date}: ${paragraphs.length} messages`); + + } catch (err) { + const errorMsg = `Failed to migrate ${logPath}: ${err}`; + errors.push(errorMsg); + log?.(`Error: ${errorMsg}`); + } + } + + return { + count: dailyLogs.length, + sessions, + errors, + }; +} + +/** + * Migrate MEMORY.md to user preferences + */ +async function migrateMemoryMd( + ocWorkspace: string, + dataDir: string, + log?: (msg: string) => void +): Promise<{ migrated: boolean; error?: string }> { + const memoryMdPath = path.join(ocWorkspace, 'MEMORY.md'); + + if (!fs.existsSync(memoryMdPath)) { + log?.('No MEMORY.md found'); + return { migrated: false }; + } + + try { + const userDir = path.join(dataDir, 'users', MIGRATION_TENANT); + fs.mkdirSync(userDir, { recursive: true }); + + const content = fs.readFileSync(memoryMdPath, 'utf-8'); + const targetPath = path.join(userDir, 'preferences.md'); + + // Add header to indicate migration source + const migratedContent = ` +${content}`; + + fs.writeFileSync(targetPath, migratedContent, 'utf-8'); + log?.('Migrated MEMORY.md to user preferences'); + + return { migrated: true }; + } catch (err) { + const error = `Failed to migrate MEMORY.md: ${err}`; + log?.(`Error: ${error}`); + return { migrated: false, error }; + } +} + +/** + * Generate L0/L1 layers using cortex-mem-cli + */ +async function generateLayers( + configPath: string, + tenant: string, + log?: (msg: string) => void +): Promise { + log?.('Generating L0/L1 layers...'); + + const cliPath = getCliPath(); + if (!cliPath) { + log?.('cortex-mem-cli not found, skipping layer generation'); + return; + } + + try { + const { stdout, stderr } = await execAsync( + `"${cliPath}" --config "${configPath}" --tenant ${tenant} layers ensure-all`, + { timeout: 300000 } // 5 minutes + ); + + if (stdout) log?.(stdout); + if (stderr) log?.(stderr); + + log?.('Layer generation completed'); + } catch (err) { + log?.(`Layer generation warning: ${err}`); + // Don't throw - this is not critical for migration + } +} + +/** + * Generate vector index using cortex-mem-cli + */ +async function generateVectorIndex( + configPath: string, + tenant: string, + log?: (msg: string) => void +): Promise { + log?.('Generating vector index...'); + + const cliPath = getCliPath(); + if (!cliPath) { + log?.('cortex-mem-cli not found, skipping vector index generation'); + return; + } + + try { + const { stdout, stderr } = await execAsync( + `"${cliPath}" --config "${configPath}" --tenant ${tenant} vector reindex`, + { timeout: 600000 } // 10 minutes + ); + + if (stdout) log?.(stdout); + if (stderr) log?.(stderr); + + log?.('Vector index generation completed'); + } catch (err) { + log?.(`Vector index warning: ${err}`); + // Don't throw - this is not critical for migration + } +} + +/** + * Main migration function + */ +export async function migrateFromOpenClaw( + log?: (msg: string) => void +): Promise { + const result: MigrationResult = { + dailyLogsMigrated: 0, + memoryMdMigrated: false, + sessionsCreated: [], + errors: [], + }; + + log?.('Starting OpenClaw memory migration...'); + + // Find OpenClaw workspace + const ocWorkspace = findOpenClawWorkspace(); + if (!ocWorkspace) { + const error = 'OpenClaw workspace not found at ~/.openclaw/workspace'; + result.errors.push(error); + log?.(error); + return result; + } + + log?.(`Found OpenClaw workspace: ${ocWorkspace}`); + + const dataDir = getDataDir(); + const configPath = getConfigPath(); + + // Migrate daily logs + const dailyResult = await migrateDailyLogs(ocWorkspace, dataDir, log); + result.dailyLogsMigrated = dailyResult.count; + result.sessionsCreated = dailyResult.sessions; + result.errors.push(...dailyResult.errors); + + // Migrate MEMORY.md + const memoryMdResult = await migrateMemoryMd(ocWorkspace, dataDir, log); + result.memoryMdMigrated = memoryMdResult.migrated; + if (memoryMdResult.error) { + result.errors.push(memoryMdResult.error); + } + + // Generate layers and index + if (result.dailyLogsMigrated > 0 || result.memoryMdMigrated) { + await generateLayers(configPath, MIGRATION_TENANT, log); + await generateVectorIndex(configPath, MIGRATION_TENANT, log); + } + + log?.(`Migration completed: ${result.dailyLogsMigrated} daily logs, MEMORY.md: ${result.memoryMdMigrated}`); + + return result; +} + +/** + * Check if migration is possible + */ +export function canMigrate(): { possible: boolean; reason: string } { + const ocWorkspace = findOpenClawWorkspace(); + + if (!ocWorkspace) { + return { possible: false, reason: 'OpenClaw workspace not found' }; + } + + const memoryDir = path.join(ocWorkspace, 'memory'); + const memoryMd = path.join(ocWorkspace, 'MEMORY.md'); + + if (!fs.existsSync(memoryDir) && !fs.existsSync(memoryMd)) { + return { possible: false, reason: 'No memory files found in OpenClaw workspace' }; + } + + return { possible: true, reason: 'OpenClaw memory found and ready for migration' }; +} diff --git a/examples/cortex-mem-openclaw/tsconfig.json b/examples/memclaw/tsconfig.json similarity index 72% rename from examples/cortex-mem-openclaw/tsconfig.json rename to examples/memclaw/tsconfig.json index b37b6b9..e77470c 100644 --- a/examples/cortex-mem-openclaw/tsconfig.json +++ b/examples/memclaw/tsconfig.json @@ -5,7 +5,7 @@ "moduleResolution": "NodeNext", "lib": ["ES2022"], "outDir": "./dist", - "rootDir": "./src", + "rootDir": ".", "strict": true, "esModuleInterop": true, "skipLibCheck": true, @@ -15,6 +15,13 @@ "sourceMap": true, "resolveJsonModule": true }, - "include": ["src/**/*"], - "exclude": ["node_modules", "dist"] + "include": [ + "index.ts", + "plugin-impl.ts", + "src/**/*.ts" + ], + "exclude": [ + "node_modules", + "dist" + ] } diff --git a/examples/skill/cortex-mem-skill-claw/SKILL.md b/examples/skill/cortex-mem-skill-claw/SKILL.md deleted file mode 100644 index fc87dc1..0000000 --- a/examples/skill/cortex-mem-skill-claw/SKILL.md +++ /dev/null @@ -1,245 +0,0 @@ ---- -name: cortex-mem -description: Layered semantic memory for OpenClaw using Cortex Memory — supports L0/L1/L2 tiered recall, semantic search, session-isolated memory, and persistent memory capture across conversations. -homepage: https://github.com/sopaco/cortex-mem -user-invocable: true -metadata: { "openclaw": { "emoji": "🧠", "homepage": "https://github.com/sopaco/cortex-mem", "requires": { "config": ["plugins.entries.cortex-mem.enabled"] } } } ---- - -# Cortex Memory Skill - -This skill teaches the agent how to use the Cortex Memory plugin (`cortex-mem`) to store, search, and recall memories across conversations. - -## Agent Autonomy: Setup and Dependency Management - -As an agent using this skill, you have the autonomy and responsibility to **detect, install, and configure** the required dependencies before calling any of the memory tools. **Do not** ask the user to do this manually unless an error occurs that you cannot resolve. - -### Step 1: Check and Setup Qdrant Vector Database -The memory service requires Qdrant to store vector embeddings. -1. **Detect**: Check if Qdrant is already running locally on port `6333` (e.g., via `curl -s http://127.0.0.1:6333` or checking running processes). -2. **Install & Run**: If it is not running, run Qdrant via Docker in the background: - ```bash - docker run -d -p 6333:6333 -p 6334:6334 qdrant/qdrant - ``` - -### Step 2: Check and Setup `cortex-mem-service` -The tools communicate with the local `cortex-mem-service`. -1. **Detect**: Check if the service is already running on port `8085` (e.g., via `curl -s http://127.0.0.1:8085/health`). -2. **Check Binary**: If not running, check if `cortex-mem-service` is available in the environment (e.g., `which cortex-mem-service`). -3. **Install**: If the binary is missing, install it using Cargo: - ```bash - cargo install cortex-mem-service - ``` -4. **Run**: Start the service in the background. **Crucially**, you must specify a fixed data directory suitable for OpenClaw (`~/.openclaw/cortex-data`): - ```bash - mkdir -p ~/.openclaw/cortex-data - nohup cortex-mem-service --data-dir ~/.openclaw/cortex-data > ~/.openclaw/cortex-data/service.log 2>&1 & - ``` - *Wait a few seconds and verify it started successfully on port `8085`.* - -### Step 3: Verify OpenClaw Plugin Configuration -Ensure the plugin is configured in `~/.openclaw/openclaw.json` (you can read and update this file if needed). - ---- - -## Plugin Setup - -The Cortex Memory plugin provides **five tools**. All tools communicate with the `cortex-mem-service` running locally over HTTP. - -**Required:** The `cortex-mem` plugin must be enabled in your `~/.openclaw/openclaw.json`: - -```json5 -{ - plugins: { - entries: { - "cortex-mem": { - enabled: true, - config: { - serviceUrl: "http://127.0.0.1:8085", - tenantId: "tenant_claw", - defaultSessionId: "default", - searchLimit: 10, - minScore: 0.6 - } - } - } - } -} -``` - -**Start the service** before using any memory tools: -```bash -cargo run -p cortex-mem-service -- --data-dir ./cortex-data -``` - -## Available Tools - -### `cortex_search` — Semantic Memory Search - -Search across all stored memories using natural language. Returns results ranked by relevance. - -**When to use:** -- Finding past decisions, discussions, or facts from previous sessions -- Discovering related context for the current task -- Quick lookup of stored knowledge - -**Parameters:** -- `query` (required): Natural language search query -- `scope` (optional): Limit search to a specific session/thread ID -- `limit` (optional): Max results, default `10` -- `min_score` (optional): Relevance threshold (0–1), default `0.6` - -**Example:** -```json -{ "query": "database architecture decisions", "limit": 5 } -``` - ---- - -### `cortex_recall` — Layered Memory Recall - -Retrieve memories with configurable detail levels using the L0/L1/L2 layer system. - -**Layer system:** -| Layer | Tokens | Content | -|-------|--------|---------| -| L0 | ~100 | Abstract — quick relevance summary | -| L1 | ~2000 | Overview — key points and context | -| L2 | Full | Complete original content | - -**When to use:** -- When `cortex_search` results are not detailed enough -- When you need to understand the full context of a past conversation -- Start with `L0`, escalate to `L1` or `L2` only if needed (to save tokens) - -**Parameters:** -- `query` (required): Search query -- `layers` (optional): Array of layers to return, default `["L0"]` -- `scope` (optional): Session/thread ID filter -- `limit` (optional): Max results, default `5` - -**Example:** -```json -{ "query": "user preferences for code style", "layers": ["L0", "L1"] } -``` - ---- - -### `cortex_add_memory` — Store Memory - -Persist important information to the Cortex Memory store. Content is automatically vectorized for future semantic search. - -**When to use:** -- After learning important facts about the user (preferences, project details, decisions) -- When the user explicitly asks to remember something -- To capture key outcomes of a conversation for future reference - -**Parameters:** -- `content` (required): The text to store -- `role` (optional): `"user"` | `"assistant"` | `"system"`, default `"user"` -- `session_id` (optional): Target session; uses `defaultSessionId` if omitted - -**Example:** -```json -{ - "content": "User prefers TypeScript with strict mode and functional patterns", - "role": "assistant", - "session_id": "project-frontend" -} -``` - ---- - -### `cortex_list_sessions` — List Memory Sessions - -List all available memory sessions with their status and message counts. - -**When to use:** -- To see what sessions/contexts exist before searching -- To pick a specific session scope for `cortex_search` or `cortex_recall` - -**Parameters:** None - ---- - -### `cortex_close_session` — Close Session & Extract Memories - -Close a session and trigger the **full memory extraction pipeline**: -1. LLM extracts user preferences, entities, decisions → stored in `user/` directory -2. Complete L0/L1 summaries regenerated for the entire session -3. All extracted memories indexed into the vector database - -**When to use:** -- At the end of a meaningful conversation or task -- When you want user preferences/entities to be persistently stored -- When you need complete L0/L1 summaries (not just the per-message incremental ones) - -**Parameters:** -- `session_id` (optional): Session to close; uses `defaultSessionId` if omitted - -**Example:** -```json -{ "session_id": "project-frontend" } -``` - -> ⚠️ This triggers LLM calls and may take 30–60 seconds. Call it once when a conversation is complete, not after every message. - ---- - -## Usage Patterns - -### Pattern 1: Context-aware response - -Before answering a complex question, search for relevant past context: - -1. Call `cortex_search` with the topic as query -2. Use returned snippets to enrich your response -3. After the conversation, call `cortex_add_memory` to store new insights -4. When the conversation is complete, call `cortex_close_session` to extract and consolidate all memories - -### Pattern 2: Progressive detail retrieval - -When you need more context without loading everything: - -1. Call `cortex_recall` with `layers: ["L0"]` to scan for relevant memories (minimal tokens) -2. If you find a relevant memory, call `cortex_recall` again with `layers: ["L1"]` for overview -3. Only use `layers: ["L2"]` when you truly need the full original content - -### Pattern 3: Session-scoped memory - -For project-specific or topic-specific memory management: - -1. Use `cortex_list_sessions` to find existing session IDs -2. Pass the matching session ID as `scope` in search/recall calls -3. Store new information with `session_id` set to the relevant session - ---- - -## Layer Architecture - -``` -Memory Query - │ - ▼ -L0 Abstract (~100 tokens) - │ quick relevance scan - ▼ -L1 Overview (~2000 tokens) - │ key context - ▼ -L2 Full Content - │ complete details (use sparingly) - ▼ -cortex-mem-service (Rust) - ├─ Qdrant (vector search) - ├─ Filesystem (content store) - └─ LLM (layer generation) -``` - -## Notes - -- Memories are organized by **tenant** (`tenantId` config) and **session** (`session_id`) -- L0 and L1 layers are generated asynchronously after `cortex_add_memory` — they may not be immediately available -- **User preferences and entities** are only extracted when `cortex_close_session` is called -- `minScore` of `0.6` is a good starting point; lower it if results are too sparse, raise it for higher precision -- The service must be running at `serviceUrl` before any tool calls will succeed