A self-improving, verifiable memory layer for AI coding agents.
cogmem learns how you work across sessions so your agent gets more accurate and more autonomous over time: it stops repeating mistakes, keeps a live model of each project, and surfaces the right lesson at the right moment. Every memory is cryptographically signed and tamper-evident, so a poisoned or altered memory can be detected and rejected before it ever steers the agent.
Developed by WritersLogic — local-first recall; your memory and identity key stay on your machine (see Privacy).
git clone https://github.com/writerslogic/cogmem.git
cd cogmem
./install.shOr in one line:
curl -fsSL https://raw.githubusercontent.com/writerslogic/cogmem/main/install.sh | bashinstall.sh is idempotent — run it again any time to upgrade in place. It sets up
the code under ~/.claude/cogmem, a self-contained virtualenv with dependencies,
the cogmem CLI on your PATH, the Claude Code hooks, and (on macOS) a warm recall
daemon. Requires Python 3.12+; semantic recall runs on a local model
(fastembed, no external API). Pass --no-daemon or --no-hooks to skip those
steps; set COGMEM_HOME to install elsewhere.
Set COGMEM_HOME to place cogmem somewhere other than the default
~/.claude/cogmem:
COGMEM_HOME=/opt/cogmem ./install.shOr with the one-liner:
curl -fsSL https://raw.githubusercontent.com/writerslogic/cogmem/main/install.sh | COGMEM_HOME=/opt/cogmem bashThe installer copies the code, creates the virtualenv, and symlinks the CLI to
~/.local/bin/cogmem (or wherever COGMEM_BIN points).
Set COGMEM_BIN to control where the cogmem CLI symlink is placed:
COGMEM_BIN=$HOME/.cargo/bin COGMEM_HOME=/opt/cogmem ./install.shIf COGMEM_BIN is not on your PATH, the installer prints a warning. You can
always invoke cogmem directly from $COGMEM_HOME/cogmem.
At runtime the CLI and engine read COGMEM_HOME from the environment. When it is
unset they fall back to ~/.claude/cogmem. All runtime data lives under the
vault/ subdirectory:
| Path | Purpose |
|---|---|
$COGMEM_HOME/vault/identity/agent.key |
Ed25519 private key (agent identity, did:key) |
$COGMEM_HOME/vault/credentials/ |
W3C Verifiable Credential storage |
$COGMEM_HOME/vault/rules/ |
Layer-A (always-load) and Layer-B (recall) rules |
$COGMEM_HOME/vault/provenance/log.jsonl |
Append-only hash-chained transparency log |
$COGMEM_HOME/vault/provenance/statements/ |
COSE_Sign1 SCITT signed statements |
$COGMEM_HOME/engine/.venv/ |
Python virtualenv with dependencies |
$COGMEM_HOME/hooks/ |
Claude Code hook scripts |
The identity key is generated on first run (via cogmem status or any engine
operation) and persisted at $COGMEM_HOME/vault/identity/agent.key. The
corresponding did:key is derived from the Ed25519 public key. Moving or
reinstalling cogmem to a new COGMEM_HOME creates a fresh identity unless you
migrate the vault/ directory.
The standard MCP client configuration works regardless of COGMEM_HOME because
the cogmem CLI resolves the environment variable at runtime:
{
"mcpServers": {
"cogmem": { "command": "cogmem", "args": ["mcp"] }
}
}If the CLI is not on your PATH, use the full path:
{
"mcpServers": {
"cogmem": { "command": "/opt/cogmem/cogmem", "args": ["mcp"] }
}
}Or prefix with COGMEM_HOME in a shell wrapper:
{
"mcpServers": {
"cogmem": { "command": "env", "args": ["COGMEM_HOME=/opt/cogmem", "cogmem", "mcp"] }
}
}cogmem status # health check, metrics, agent DID
cogmem doctor # end-to-end learning-loop health (daemon, API key, trust, backlog)
cogmem recall "..." # surface relevant past lessons for a task
cogmem note "..." # record a decision or finding mid-task
cogmem verify # verify every memory's credential + the transparency log
cogmem receipt <id> # inclusion proof that a memory is committed in the signed log
cogmem statement <id> # COSE_Sign1 SCITT signed statement (verifiable by HMS too)
cogmem trust # show the trusted agent identity (warns on a key mismatch)
cogmem trust --rotate # re-anchor trust after an intentional key change
cogmem review list # approve always-load rules
cogmem mcp # run the MCP server (stdio) for any MCP clientRun cogmem as an MCP server and connect any MCP-compatible client:
{
"mcpServers": {
"cogmem": { "command": "cogmem", "args": ["mcp"] }
}
}Eight tools are exposed: recall, note, status, verify, receipt, tree_head, progress, review_pending, plus read-only resources (the live user model and per-project state).
install.sh wires cogmem into Claude Code automatically (idempotently merged into
~/.claude/settings.json) — no manual invocation required. Five hooks make the
memory loop run in the background:
| Event | Hook | What it does |
|---|---|---|
SessionStart |
cogmem-activate.sh |
injects promoted always-load (Layer-A) rules + the self-check |
UserPromptSubmit |
cogmem-recall.sh |
semantic Layer-B recall for the current prompt |
PreToolUse(Bash) |
cogmem-guard.sh |
intercepts known mistakes at the tool-call boundary before they happen |
PostToolUse(Edit|Write) |
cogmem-context.sh |
tracks which files the session is actively editing |
Stop |
cogmem-capture.sh |
captures the session into memory (acquisition + consolidation) |
Every hook is strictly fail-open: any error, timeout, or cold daemon injects
nothing and never blocks your prompt. The scripts live in ~/.claude/cogmem/hooks/;
re-run install.sh (or ./install.sh --no-daemon) to refresh the wiring.
Why cogmem? -- learns from outcomes, models failure modes, verifiable memory
Chat-memory systems (Mem0, Letta, Zep) store and retrieve facts. cogmem is built for coding agents and goes further on three axes:
It learns from outcomes. A feedback loop scores whether a recalled lesson actually helped, refines rules that prove wrong, and retires ones that mislead.
It models its own failure modes. cogmem tracks where the agent tends to go wrong in your work and intercepts known mistakes at the tool-call boundary — before they happen, not afterward.
Its memory is verifiable. Each memory is a W3C Verifiable Credential signed by the agent's did:key, recorded in a tamper-evident, SCITT-style transparency log. Agent memory is an attack surface; cogmem makes it auditable and poison-resistant.
Features -- two-layer memory, outcome feedback, self-model, project state, cross-project narrative, self-regulation, verifiable credentials
- Two-layer memory: always-loaded directives (scope-gated, human-approved) plus a semantic recall tail (local cross-encoder reranking, no data leaves the machine).
- Outcome feedback and self-refinement: memories earn or lose trust based on whether they actually helped; contradicted rules are corrected through a safe pipeline.
- Self-model and guard: a model of the agent's recurring mistakes, compiled into tripwires that intercept them at the
PreToolUseboundary. - Project-state model: a living per-project state (goal, claims, open questions, blockers) that gives situational continuity and reasons across time.
- Cross-project progress narrative: momentum, stalls, and dependencies across projects, surfaced as alerts.
- Self-regulation: recall thresholds tuned automatically against an eval harness.
- Verifiable Agent Memory:
did:keyidentity, W3C VC-signed memories, COSE_Sign1 SCITT signed statements (byte-compatible with HMS), a hash-chained transparency log with signed Merkle tree head and RFC 6962 inclusion receipts, optional poison-resistance enforcement. See PROVENANCE.md.
Verifiable Memory -- did:key identity, W3C VC, COSE/SCITT, hash-chained log, poison-resistance
cogmem treats every stored memory as a signed artifact:
did:keyidentity: each agent gets a persistent Ed25519 identity, exposed as a W3C DID.- W3C Verifiable Credentials: every memory is signed with
eddsa-jcs-2022Data Integrity proofs. - COSE_Sign1 / SCITT signed statements: byte-identical to the envelope format used by holographic-memory and crosstalk — independently verifiable by any of the three implementations.
- Hash-chained transparency log: append-only JSONL with SHA-256 chaining, a signed Merkle tree head, and RFC 6962-style inclusion receipts.
- Poison-resistance: altered or injected memories fail verification and are rejected before influencing the agent.
cogmem verify # check all memories and the log head
cogmem receipt <memory-id> # prove a memory is in the signed logSee PROVENANCE.md for the full specification.
Verify the C2PA sample yourself:
# examples/c2pa-agent-credential/ is a real signed C2PA manifest
# whose agent identity validates in c2patool
./examples/c2pa-agent-credential/verify.shThis proves the whole chain: agent identity (cawg.ica.credential_valid) bound to real cognition — a signed cogmem memory and a signed crosstalk reasoning audit, each an independently verifiable Ed25519 COSE/SCITT statement.
cogmem is local-first by design. Memories, embeddings, and the identity key live on your machine, and semantic recall is fully local — the embedding and reranker models (fastembed) run on-device, so querying your memory never leaves the machine.
The learning pipeline is not local: acquisition, consolidation, the feedback judge, and the project/user-model synthesis send the relevant session transcript to the Anthropic API (ANTHROPIC_API_KEY). That is how rules are extracted and scored. If you need fully-offline operation, run with --no-hooks (recall still works) until a local-model extraction path lands. In short: recall is local; learning calls the API.
cogmem is one component of the WritersLogic verifiable agent-provenance pipeline — agent identity, memory, reasoning, and signed output, cryptographically bound end to end.
| Project | Role |
|---|---|
| cogmem (this repo) | Agent identity (CAWG credential) + verifiable, tamper-evident memory (COSE/SCITT) |
| crosstalk | Multi-model orchestrator; signs each turn's reasoning/orchestration audit |
| holographic-memory | Durable holographic memory store; cross-verifies signed statements and agent identity |
| WritersProof | C2PA producer: binds identity + memory + reasoning to the signed asset |
All four share one substrate — COSE_Sign1 / SCITT signed statements (Ed25519) and W3C DID identity — specified in UNIFIED-PROVENANCE.md.
Apache-2.0 — see LICENSE.
