memtree
Collects session JSONL from Codex and Claude Code into local SQLite memory, exposed through MCP with tools for memory context, search, get, put, forget, sleep, and status.
README
memtree
Codex and Claude Code session JSONL is collected outside the model context, consolidated into local SQLite memory, and exposed through MCP.
This is an intentionally small first implementation:
- Codex and Claude Code Hook queueing
- crash-recovery transcript scanning
- byte-offset incremental JSONL collection
- secret redaction and user/final-assistant filtering
- deterministic per-session Sleep memory
- SQLite FTS search
- MCP read, search, explicit write, forget, Sleep, and status tools
- stdio and Streamable HTTP transports
The current Sleep implementation creates a bounded session digest. It does not yet perform LLM-based profile/entity/decision extraction.
Setup
cd ~/repos/memtree
uv sync
uv run memtree init
uv tool install --editable .
The editable tool install makes memtree available to lifecycle hooks.
Configure hooks
Merge the relevant example into the user-level configuration:
- Codex:
integrations/codex/hooks.json.exampleinto~/.codex/hooks.json - Claude Code:
integrations/claude-code/settings.json.exampleinto~/.claude/settings.json
Review and trust the Codex hook through /hooks. Hooks only enqueue
session_id, transcript_path, and cwd; they do not invoke MCP or a model.
Collect and Sleep
Run manually or from cron/systemd:
memtree collect --scan all
memtree sleep
memtree status
memtree memory list --cwd "$PWD"
Suggested daily command:
memtree collect --scan all && memtree sleep
Configure MCP
Codex stdio configuration:
[mcp_servers.memtree]
command = "memtree"
args = ["serve", "--transport", "stdio"]
enabled = true
Claude Code:
claude mcp add --scope user memtree -- \
memtree serve --transport stdio
Available tools:
memory_contextmemory_searchmemory_getmemory_putmemory_forgetmemory_sleepmemory_status
Write and forget tools are annotated with their side effects. Automatic transcript ingestion is deliberately not exposed as an MCP tool.
Pass cwd to memory_context or memory_search to include the matching
project memory. Use include_all_projects=true only for an intentional
cross-project review.
Docker
Docker runs the Streamable HTTP MCP server with a private persistent volume:
docker compose up --build -d
The HTTP endpoint is http://127.0.0.1:8765/mcp. Collection normally runs on
the host because the transcript directories are private host state.
Development
uv run ruff format --check .
uv run ruff check .
uv run pyright
uv run pytest
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