iai-mcp: A local daemon for persistent OpenClaw memory across sessions
The recurring pain of starting a fresh OpenClaw session with zero context prompted one developer to build iai-mcp — a local daemon that persists conversation memory across sessions. Five months of daily use later, it's been open-sourced under MIT license.
How it works
- Three memory tiers: organizes captured conversations by recency and relevance, consolidating in the background when the machine is idle.
- Local neural embeddings: all processing happens on-device; no data sent externally.
- AES-256 encryption: data at rest is encrypted.
- Automatic context injection: on new session start, the relevant memory is fed as context — no need to manually ask OpenClaw to remember anything.
Performance numbers
- Verbatim recall above 99%
- Retrieval latency under 100ms
- Session-start token cost under 3,000 tokens
Real usage
The author has been running iai-mcp since January and reports that the system has learned coding style, project structures, and preferences without explicit instructions. The repository includes a benchmark harness to verify the numbers yourself.
Repository: https://github.com/CodeAbra/iai-mcp
📖 Read the full source: r/clawdbot
👀 See Also
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