mnemos
The autopilot knowledge base for your coding agent.
Install once. From then on, your agent builds itself a structured knowledge base of your project — while you code. No prompts to remember, no remember() calls, no API to learn.
Single Go binary. Embedded SQLite. Zero cloud. No Docker. No Python. No Node runtime.
Agent (Claude Code / Cursor / Kiro / Gemini CLI / Codex / ...)
↓ MCP stdio
mnemos serve
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Auto-compiled knowledge base (~/.mnemos/mnemos.db)What makes mnemos different
Every memory server stores text. Mnemos compiles a knowledge base.
While other servers expect you (or a carefully-tuned prompt) to decide when to store and when to retrieve, mnemos runs a full pipeline in the background:
Agent action → mnemos auto-pipeline:
├── Quality gate (reject/rewrite low-value content)
├── 3-tier dedup (hash → fuzzy → semantic)
├── Auto-summarize (extractive, fast; LLM if available)
├── File linking (extract identifiers, link to code)
├── Type classification (episodic / long_term / semantic / skill)
├── Quality scoring (for retrieval ranking)
└── Decay scheduling (so knowledge base stays relevant)
Retrieval:
├── Hybrid search (FTS5 + optional semantic + RRF)
├── File-overlap boost (memories about active files rank higher)
├── MMR diversity (kill redundant results)
├── Adaptive packing (full content or summary based on budget)
└── Token-budget cap (always fits in context)
