n24q02m/mnemo-mcp

> **Renamed (2026-09-13):** repo is now mnemo — CLI-first (mnemo command). PyPI package stays mnemo-mcp; MCP server remains a secondary surface.
mcp-name: io.github.n24q02m/mnemo
**Persistent AI memory with hybrid search. Open, free, unlimited.**
Sister projects from n24q02m (click to expand)
| Project | Tagline | Tag |
|---|---|---|
| agent-chat-plugin | Peer AI agents chat in a shared folder — no human relay, no orchestrator, wor... | Tooling |
| better-code-review-graph | Knowledge graph for token-efficient code reviews -- semantic search and call-... | MCP |
| better-drive | 2-way Google Drive sync with .driveignore filter — rclone engine, Windows tray | Tooling |
| better-email-mcp | IMAP/SMTP email for AI agents -- read, send, organize folders, and manage att... | MCP |
| better-godot-mcp | Composite MCP server for Godot Engine -- 17 composite tools for AI-assisted g... | MCP |
| better-notion-mcp | Markdown-first Notion for AI agents -- pages, databases, blocks, and comments... | MCP |
| better-semantic-release | Drop-in python-semantic-release fork with built-in release-safety guards (orp... | Tooling |
| better-telegram-mcp | Telegram for AI agents -- messages, chats, media, and contacts across both bo... | MCP |
| better-workspace-mcp | Google Workspace MCP server (Docs/Drive/Calendar/Gmail/Sheets/Slides/Tasks/Ch... | MCP |
| claude-plugins | Claude Code plugin marketplace for the n24q02m MCP servers -- install web sea... | Marketplace |
| imagine-mcp | Image and video understanding + generation for AI agents -- across Gemini, Op... | MCP |
| jules-task-archiver | Chrome Extension for bulk operations on Jules tasks via batchexecute API -- a... | Tooling |
| mcp-core | Shared foundation for building MCP servers -- Streamable HTTP transport, OAut... | MCP |
| mnemo | Persistent AI memory with hybrid search and embedded sync. Open, free, unlimi... | MCP |
| fastretrieval | Multi-model retrieval runtime for ONNX/GGUF embeddings and reranking | Library |
| skret | Secrets without the server. | CLI |
| tacet | A self-distilling neuro-symbolic cascade that amortises LLM cost across knowl... | Tooling |
| web-core | Shared web infrastructure package for search, scraping, HTTP security, and st... | Library |
| wet-mcp | Open-source MCP server for AI agents: web search, content extraction, and lib... | MCP |
Table of contents
- Features
- Quick install
- Status
- Documentation
- Smithery
- Tools
- Security
- Build from Source
- CLI
- Self-hosting (local HTTP instance)
- Remote (HTTP mode)
- Trust Model
- License
Roadmap (current = Phase 3 / v2.x)
> Phase rows below describe the pre-de-host design history (v1.x / early v2):
> multi-provider LLM dispatch, GDrive/S3 passport sync, and Cloudflare
> deployment were **removed in the 2026-09 de-host**. Current architecture:
> one local SQLite store (WAL), per-task [models.*] provider cells
> (OpenRouter pre-wired default), no embedded sync (backup = rclone).
| Phase | Version | Status | Highlights |
|---|---|---|---|
| **Phase 1** | **v1.x** | **Shipped** | Typed memory(action="capture") (6 context_types + dedup) -- RRF (k=60) hybrid fusion + cross-encoder rerank + temporal decay -- importance x recency archive policy + restore -- Alembic migrations -- multi-provider LLM dispatch (pre-de-host) -- plugin trinity (recall-context + memory-commit skills, SessionStart + opt-in PostToolUse hooks) |
| **Phase 2** | v1.x+1 | **Shipped, partially removed** | LLM-driven compression of older memories (kept, now via [models.chat] cell) + Passport sync (encrypted import/export bundle; **removed 2026-09**) |
| **Phase 3** | **v2.0.0** | **Shipped (BREAKING)** | Temporal knowledge graph -- bitemporal valid_from / valid_to columns -- entity resolution via embedding KNN -- entity_search / entity_graph / history actions -- KG_AUTO_ENABLED opt-in auto-extract on capture |
Features
- **Hybrid retrieval** -- FTS5 + vector search (sqlite-vec), fused via Reciprocal Rank Fusion (k=60), then re-ranked via the [models.rerank] provider cell (OpenRouter pre-wired default) with the local Fastretrieval Qwen3 cross-encoder as fallback, plus temporal decay and importance boost
- **Typed capture** -- memory(action="capture") with 6 context_types (conversation/fact/preference/skill/task/decision), embedding-based dedup, and optional [models.chat]-cell compression + importance scoring