Mnemo

概要

Mnemo is a sophisticated, LangChain-powered universal memory system designed for AI assistants, offering advanced memory orchestration and optional LangGraph workflows. It provides a robust framework for managing AI context, enabling retrieval-augmented generation (RAG) capabilities, and maintaining consistency across projects by leveraging vector memory, rich metadata, and knowledge graphs. It also integrates seamlessly with AI assistants like Cursor via the Model Context Protocol (MCP) to provide auto-tracking and code intelligence features.

主な機能

• Vector Memory with Flexible Embeddings
• Cross-Project Context & Code Intelligence
• Retrieval-Augmented Generation (RAG) Capabilities
• Automated Tracking of Git activities, code changes, and chat sessions
• 1 GitHub stars
• LangChain-Powered Universal Memory

ユースケース

• Enhancing AI assistant capabilities with persistent, context-aware memory for conversations and code generation.
• Maintaining code consistency and preventing duplicate implementations across multiple projects using minimal guardrails.
• Building and querying knowledge graphs of codebases for pattern reuse and advanced code analysis.