Mnemos: Open-Sourced Local-First Memory Layer for Coding Agents
What Mnemos Solves
Mnemos addresses three specific problems the creator observed in agent memory systems: repo-specific facts bleeding into unrelated work, old facts persisting alongside new facts indefinitely, and transcript storage growing without clean compaction.
Current Beta Features
- Local-first architecture
- SQLite starter profile
- MCP support for Claude Code, Claude Desktop, and generic stdio hosts
- Documented Codex setup through MCP +
AGENTS.md
Biomimetic Pipeline Components
- SurprisalGate: Filters noise to prevent low-signal interactions from becoming long-term memory
- MutableRAG: Rewrites stale facts instead of accumulating duplicates
- AffectiveRouter & SpreadingActivation: Make retrieval more contextual than plain vector lookup
- SleepDaemon: Consolidates raw episodic logs into durable facts and prunes the rest
Installation & Setup
Install with: pip install "mnemos-memory[mcp]"
Run diagnostics: mnemos-cli doctor
Feedback Focus Areas
The creator is specifically seeking feedback on: scope isolation in real repo workflows, retrieval quality during actual coding tasks, MCP host behavior, and Codex workflows.
Resources
- Website: https://mnemos.making-minds.ai
- GitHub: https://github.com/anthony-maio/mnemos
- Technical deep dive: https://anthonymaio.substack.com/p/your-agent-has-amnesia
📖 Read the full source: r/LocalLLaMA
👀 See Also
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