Mneme: single-binary memory tool for AI agents, now MCP-native

Key takeaway

• Mneme is a standalone memory system for AI agents that installs as a single binary with no cloud or database setup required.

• It runs entirely offline with built-in encryption, works with every major AI coding assistant and agent framework, and offers 46 tools for storing, searching, and managing persistent memory—making it the only option that combines MCP-native design, local-first operation, and zero external dependencies according to its comparison matrix.

3 Key Points

FAQ

How do I install and run Mneme?

Installation is one line: curl the install script, which places a single Rust binary in ~/.local/bin/mneme. Start it with mneme serve --db ~/.mimir/data/mneme.db, then configure any MCP host (Claude Desktop, Cursor, etc.) to connect via the provided JSON configuration snippet.

What makes Mneme different from Mem0, Letta, and Zep?

Mneme is the only one that is simultaneously MCP-native (46 tools), fully local and offline, zero-dependency (no Docker, Python, or Postgres), and encrypted (AES-256-GCM). The comparison matrix shows competitors require cloud services, Docker, or Python environments, and none offer MCP-native integration, encryption, or entity lifecycle decay and promotion.

Which AI tools and frameworks does Mneme work with?

Mneme is a standard MCP stdio server that works with Claude Desktop, Cursor, Windsurf, VS Code + Continue.dev, Zed, Hermes Agent, and others. Ready-to-use adapters integrate it with LangGraph (MimirStore), CrewAI (MimirMemoryTool), and AutoGen (MimirMemory).