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Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

MCP ServersOfficial Registry11 stars5 forksPythonApache-2.0Updated today
ClaudeWave Trust Score
85/100
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Last scanned: 9/14/2026
Install in Claude Code / Claude Desktop
Method: UVX (Python) · invocation
Claude Code CLI
claude mcp add mnemo -- uvx invocation
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": ["invocation"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# Mnemo MCP Server

> **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-mcp

**Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.**

<!-- Badge Row 1: Status -->
[![Mode](https://img.shields.io/badge/mode-daemon_%C2%B7_http_remote_relay-5C6BC0)](https://mcp.n24q02m.com/get-started/modes-overview/)
[![CI](https://github.com/n24q02m/mnemo/actions/workflows/ci.yml/badge.svg)](https://github.com/n24q02m/mnemo/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/n24q02m/mnemo-mcp/graph/badge.svg?token=GELGVQNMUZ)](https://codecov.io/gh/n24q02m/mnemo-mcp)
[![PyPI](https://img.shields.io/pypi/v/mnemo-mcp?logo=pypi&logoColor=white)](https://pypi.org/project/mnemo-mcp/)
[![License: Apache-2.0](https://img.shields.io/github/license/n24q02m/mnemo-mcp)](LICENSE)
[![SafeSkill 91/100](https://img.shields.io/badge/SafeSkill-91%2F100_Verified%20Safe-brightgreen)](https://safeskill.dev/scan/n24q02m-mnemo-mcp)

<!-- Badge Row 2: Tech -->
[![Python](https://img.shields.io/badge/Python-3776AB?logo=python&logoColor=white)](#)
[![SQLite](https://img.shields.io/badge/SQLite-003B57?logo=sqlite&logoColor=white)](#)
[![MCP](https://img.shields.io/badge/MCP-000000?logo=anthropic&logoColor=white)](#)
[![semantic-release](https://img.shields.io/badge/semantic--release-e10079?logo=semantic-release&logoColor=white)](https://github.com/python-semantic-release/python-semantic-release)
[![Renovate](https://img.shields.io/badge/renovate-enabled-1A1F6C?logo=renovatebot&logoColor=white)](https://developer.mend.io/)

<!-- BEGIN: AUTO-GENERATED-CROSS-PROMO -->
<details>
  <summary><strong>Sister projects from n24q02m</strong> (click to expand)</summary>

| Project | Tagline | Tag |
|---|---|---|
| [agent-chat-plugin](https://github.com/n24q02m/agent-chat-plugin) | Peer AI agents chat in a shared folder — no human relay, no orchestrator, wor... | Tooling |
| [better-code-review-graph](https://github.com/n24q02m/better-code-review-graph) | Knowledge graph for token-efficient code reviews -- semantic search and call-... | MCP |
| [better-drive](https://github.com/n24q02m/better-drive) | 2-way Google Drive sync with .driveignore filter — rclone engine, Windows tray | Tooling |
| [better-email-mcp](https://github.com/n24q02m/better-email-mcp) | IMAP/SMTP email for AI agents -- read, send, organize folders, and manage att... | MCP |
| [better-godot-mcp](https://github.com/n24q02m/better-godot-mcp) | Composite MCP server for Godot Engine -- 17 composite tools for AI-assisted g... | MCP |
| [better-notion-mcp](https://github.com/n24q02m/better-notion-mcp) | Markdown-first Notion for AI agents -- pages, databases, blocks, and comments... | MCP |
| [better-semantic-release](https://github.com/n24q02m/better-semantic-release) | Drop-in python-semantic-release fork with built-in release-safety guards (orp... | Tooling |
| [better-telegram-mcp](https://github.com/n24q02m/better-telegram-mcp) | Telegram for AI agents -- messages, chats, media, and contacts across both bo... | MCP |
| [better-workspace-mcp](https://github.com/n24q02m/better-workspace-mcp) | Google Workspace MCP server (Docs/Drive/Calendar/Gmail/Sheets/Slides/Tasks/Ch... | MCP |
| [claude-plugins](https://github.com/n24q02m/claude-plugins) | Claude Code plugin marketplace for the n24q02m MCP servers -- install web sea... | Marketplace |
| [imagine-mcp](https://github.com/n24q02m/imagine-mcp) | Image and video understanding + generation for AI agents -- across Gemini, Op... | MCP |
| [jules-task-archiver](https://github.com/n24q02m/jules-task-archiver) | Chrome Extension for bulk operations on Jules tasks via batchexecute API -- a... | Tooling |
| [mcp-core](https://github.com/n24q02m/mcp-core) | Shared foundation for building MCP servers -- Streamable HTTP transport, OAut... | MCP |
| [mnemo-mcp](https://github.com/n24q02m/mnemo) | Persistent AI memory with hybrid search and embedded sync. Open, free, unlimi... | MCP |
| [fastretrieval](https://github.com/n24q02m/fastretrieval) | Multi-model retrieval runtime for ONNX/GGUF embeddings and reranking | Library |
| [skret](https://github.com/n24q02m/skret) | Secrets without the server. | CLI |
| [tacet](https://github.com/n24q02m/tacet) | A self-distilling neuro-symbolic cascade that amortises LLM cost across knowl... | Tooling |
| [web-core](https://github.com/n24q02m/web-core) | Shared web infrastructure package for search, scraping, HTTP security, and st... | Library |
| [wet-mcp](https://github.com/n24q02m/wet-mcp) | Open-source MCP server for AI agents: web search, content extraction, and lib... | MCP |

</details>
<!-- END: AUTO-GENERATED-CROSS-PROMO -->

## Table of contents

- [Features](#features)
- [Quick install](#quick-install)
- [Status](#status)
- [Documentation](#documentation)
- [Smithery](#smithery)
- [Tools](#tools)
- [Security](#security)
- [Build from Source](#build-from-source)
- [CLI](#cli)
- [Remote (HTTP mode)](#remote-http-mode)
- [Deploy to Cloudflare](#deploy-to-cloudflare)
- [Trust Model](#trust-model)
- [License](#license)



<a href="https://glama.ai/mcp/servers/n24q02m/mnemo-mcp">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/n24q02m/mnemo-mcp/badge" alt="Mnemo MCP server" />
</a>

## Roadmap (current = Phase 3 / v2.x)

| 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 -- plugin trinity (recall-context + memory-commit skills, SessionStart + opt-in PostToolUse hooks) |
| **Phase 2** | v1.x+1 | **Shipped** | LLM-driven compression of older memories + Passport sync (encrypted import/export bundle for cross-machine bootstrap) -- AES-256-GCM + Argon2id, S3 / R2 / B2 / MinIO + GDrive backends, delta-sync with LWW per row |
| **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-aware passport bundle sections -- `KG_AUTO_ENABLED` opt-in auto-extract on capture |

## Features

- **Hybrid retrieval** -- FTS5 + vector search (sqlite-vec locally, Vectorize on Cloudflare), fused via Reciprocal Rank Fusion (k=60), then re-ranked by a configurable rerank chain (`RERANK_MODELS`, order = litellm fallback; empty -> Fastretrieval's local Qwen3 reranker) with temporal decay and importance boost
- **Typed capture** -- `memory(action="capture")` with 6 context_types (`conversation`/`fact`/`preference`/`skill`/`task`/`decision`), embedding-based dedup, and a configurable LLM chain (`LLM_MODELS`, order = litellm fallback)
- **Knowledge graph** -- Automatic entity extraction and relation tracking; top results boosted by graph proximity
- **Importance scoring + archive policy** -- LLM-scored 0.0-1.0 importance; soft-archive when `recency_factor * (1 - importance) > 1.0`; restore action available
- **Auto-archive trigger** -- Background sweep every Nth capture (default 100) -- no cron required
- **STM-to-LTM consolidation** -- LLM summarization of related memories in a category
- **Duplicate detection** -- Warns before adding semantically similar memories
- **Zero config** -- Fastretrieval's built-in local registry resolves Qwen3 ONNX embedding + reranking, no API keys needed. Optional cloud providers (Jina AI, Gemini, OpenAI, Cohere)
- **Multi-machine sync** -- JSONL-based merge sync via Google Drive (bundled Desktop OAuth public client)
- **Plugin trinity** -- Ships `/recall-context` + `/memory-commit` skills and SessionStart + opt-in PostToolUse hooks (see [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md))
- **Proactive memory** -- Tool descriptions and skills guide AI to save preferences, decisions, facts at the right moment
- **LLM compression** -- Per-turn compression via the multi-provider dispatcher targets ~3x token reduction at >=0.9 fact retention; graceful skip when no provider configured (see [docs/compression.md](docs/compression.md))
- **Encrypted passport sync** -- AES-256-GCM bundles + Argon2id KDF, S3 (R2 / B2 / MinIO) and Google Drive backends, delta-sync with last-write-wins per row (see [docs/passport.md](docs/passport.md)). Bootstrap via the `passport-bootstrap` skill.
- **Temporal knowledge graph** -- Bitemporal columns (`valid_from` / `valid_to` / `superseded_by`) on every memory + entity-resolution dedup (embedding KNN at default 0.85 cosine threshold) + audit trail (`memory_audit` table with prev/new state hashes) + new actions (`entity_search` / `entity_graph` / `history`) + opt-in `KG_AUTO_ENABLED` auto-extract on capture. **BREAKING** for clients that called `memory.get` expecting historical-inclusive results: pass `as_of` for time-travel; default now filters to current-state (`valid_to IS NULL`).

## Quick install

```bash
# Method 1 (default): plugin install via Claude Code
/plugin marketplace add n24q02m/claude-plugins
/plugin install mnemo-mcp@n24q02m-plugins

# Method 2 (CLI): direct uvx invocation
claude mcp add mnemo -- uvx mnemo-mcp

# Method 3 (remote): point a client at an HTTP deployment
claude mcp add --transport http mnemo https://<your-host>/mcp
```

Install matrix (stdio unless noted; see the [Setup](https://mcp.n24q02m.com/servers/mnemo-mcp/setup/) page for full steps):

| Client | Install |
|---|---|
| Claude Code (plugin) | `/plugin marketplace add n24q02m/claude-plugins` then `/plugin install mnemo-mcp@n24q02m-plugins` |
| Claude Code (stdio) | `claude mcp add mnemo -- uvx mnemo-mcp` |
| Codex | register stdio command `uvx mnemo-mcp` under `mcp_servers` in `~/.codex/config.toml` |
| Gemini CLI | add the `mcpServers` JSON below to `~/.gemini/settings.json` |
| Cursor / Win
ai-agentsai-codingai-memoryclaudeclaude-codecursordockerhybrid-searchmcpmcp-servermodel-context-protocolopen-sourcepythonsqlite

What people ask about mnemo

What is n24q02m/mnemo?

+

n24q02m/mnemo is mcp servers for the Claude AI ecosystem. Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited. It has 11 GitHub stars and its last recorded update is dated 2026-09-13.

How do I install mnemo?

+

You can install mnemo by cloning the repository (https://github.com/n24q02m/mnemo) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is n24q02m/mnemo safe to use?

+

Our security agent has analyzed n24q02m/mnemo and assigned a Trust Score of 85/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains n24q02m/mnemo?

+

n24q02m/mnemo is maintained by n24q02m. The last recorded GitHub activity is dated 2026-09-13, with 4 open issues.

Are there alternatives to mnemo?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy mnemo to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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