A-MEM (Agentic Memory)
Provides persistent memory capabilities for coding contexts using ChromaDB vector storage and semantic search, enabling storage and retrieval of coding memories with AI-generated keywords, automated memory network evolution, and contextual assistance across development sessions.
About
This MCP server provides AI assistants with persistent memory capabilities for coding contexts, built using Go with ChromaDB vector storage, OpenAI API integration, and sentence-transformers embeddings. The implementation offers three core tools for storing coding memories with AI-generated keywords and tags, retrieving relevant memories through semantic search, and evolving memory networks through automated link creation and context enhancement, all backed by a robust architecture featuring workspace management, scheduled evolution processes, Prometheus monitoring, and Docker containerization. Built with comprehensive prompt management, fallback mechanisms, and extensive configuration options, it serves developers needing persistent coding context across sessions, teams wanting to build institutional knowledge from development conversations, and AI assistants requiring long-term memory capabilities to provide more contextually relevant coding assistance and learning progression tracking.
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