💥 Fast, Git-native framework for building knowledge bases - Static site generator for digital gardens and personal wikis
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Updated
Jul 7, 2026 - Go
💥 Fast, Git-native framework for building knowledge bases - Static site generator for digital gardens and personal wikis
A git-native, review-gated knowledge base for AI agents: they propose writes, you approve them. Every claim cites a source, every change is a diff in your repo. MCP + CLI.
Distributed issue tracking embedded in Git — track issues locally, sync anywhere, no server required
Git-native context control plane for AI coding agents
Git-native architecture catalog — Markdown registry, schema-driven UI, AI-ready
Local, Git-native governance CLI that makes AI-assisted software delivery verifiable
🫛👣 FAVA Trails — Git-native, curated memory for AI agents via MCP. Draft isolation, promotion gate, thought lifecycle hooks, memory curation protocols, supersession chains.
AI-native task management documentation framework - Revolutionary markdown-based task management for the AI development era
API testing framework for TypeScript. Lives in your repo, validates against OpenAPI specs, and generates beautiful reports. Built for automation and CI/CD
Kanban Assignment & Responsibility Registry — Git-native, file-based kanban board for multi-agent workflows (Perl)
An open standard for collaborative genealogy and family history
Unison (万物一心) — Loop Engineering pipeline for multi-agent collaboration. Plan → Discuss → Dev → Review until PASS. | 本地优先、文件驱动的 Multi-Agent Loop Engineering 管道。
internOS — Workstreams framework for human-agent collaboration. Coordinate work across projects, tasks, communication threads, and filesystem workstreams for any AI agent framework.
A template for building structured, self-healing, agent-accessible knowledge bases. Zero dependencies. Git-native. Ontology-driven. Multi-output.
Substrate — a git-native, agent-operable shared state layer engine for a personal AI agent fleet. Template + mechanism + reference skills + adapters + migrations to build & maintain your own personal knowledge base.
Git-native, evidence-backed domain semantic layer for AI agents and human maintainers.
📬 Git-native agent-to-agent messaging. Bottles float between repos.
Git-based CLI memory harness for AI agents: structured project memory, flexible wiki, CLI first.
A Git-native, database-free CMS: article bodies in commit messages, publish by moving refs.
Local-first evidence layer for Codex and Claude Code. Tasks → prompts → runs → proof → checkpoints.
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