The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Memoir listing page.
Structured session journals for AI agents. Persistent memory across sessions -- no more repeating dead ends.
When a session ends, all reasoning is lost -- what was tried, what failed, what's blocked. The next session starts from scratch and repeats the same mistakes. memoir logs it all and hands it off so the next session picks up where the last one left off.
Works with any MCP client: Claude Code, Cursor, Codex, Windsurf, and more.
| Tool | Description |
|---|---|
log_attempt | Record something that was tried and its outcome. |
log_blocker | Flag something that's stuck and why. |
resolve_blocker | Mark a blocker as resolved with what fixed it. |
log_decision | Record a design or architecture choice and its rationale. |
end_session | Close the current session with an optional summary. |
| Tool | Description |
|---|---|
get_handoff | Structured summary of the last session -- what was attempted, what's blocked, what was decided. |
get_history | Query past sessions (default: last 3, max 20). |
get_blockers | List unresolved (or resolved) blockers across all sessions. |
Single SQLite file at ~/.memoir/memoir.db. No API keys, no external services.
All limits are configurable via environment variables:
| Variable | Default | Description |
|---|---|---|
MEMOIR_MAX_CONTENT | 500 | Max characters for content fields |
MEMOIR_MAX_OUTCOME | 300 | Max characters for outcome/resolution fields |
MEMOIR_MAX_ENTRIES | 50 | Max entries per session |
MEMOIR_MAX_SESSIONS | 20 | Max sessions per project (rolling) |
Example with custom limits:
Handoff output uses a compact format to keep context window usage low.
MIT