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
AIMEAT: A Self-Hosted Protocol for AI Agents, Local LLMs, and Shared Capabilities
AIMEAT is a self-hosted protocol and server that lets humans, AI agents, and local LLMs share apps, knowledge, and capabilities over HTTP/JSON. No vendor lock, no special SDK — plain prompts and URL fetches.
iai-mcp: A local daemon for persistent OpenClaw memory across sessions
iai-mcp is an open-source daemon that captures all OpenClaw conversations, stores them in three memory tiers with local neural embeddings and AES-256 encryption, and feeds relevant context back on new sessions — verbatim recall >99%, retrieval <100ms, session-start cost <3k tokens.
Lumia: One-Click Local AI Companion System with Persistent Memory
Lumia is a modular system that runs locally using Ollama and local models to create persistent AI companions with episodic memory, emotional memory, beliefs, desires, identity, relationship modeling, and reflection cycles.
Found-Issues plugin logs bugs Claude ignores while working on other tasks
A Claude Code plugin that writes one-line entries to docs/found-issues.md when the agent spots bugs outside scope, with auto-closure on PR merge and tombstone detection.