A-MEM

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This server addresses the challenge of fragmented, non-persistent memories in AI coding tools like Claude Code and Claude Desktop. By creating a Zettlekasten-based Model Context Protocol (MCP) memory system, it enables AI agents to maintain a persistent, evolving understanding of complex codebases across multiple sessions and projects. It automatically discovers relationships and connections as new information is added, fostering deeper insights and seamless continuity for AI-assisted software engineering.

Características Principales

• MCP Integration: JSON-RPC 2.0 server compatible with Claude Code and Desktop for seamless tool access.
• 5 GitHub stars
• Prometheus Monitoring: Provides comprehensive observability with metrics for operations, LLM latency, and error rates.
• Advanced Embeddings: Supports real embeddings from services like Sentence-transformers and OpenAI for accurate context.
• Core Memory System: Store, retrieve, and evolve code snippets with AI-generated metadata and vector similarity search.
• Workspace Management: Logically group memories by filesystem path or user-defined names for better organization.

Casos de Uso

• Building a comprehensive, searchable knowledge base for complex codebases to improve AI understanding.
• Improving continuity and contextual awareness for AI-assisted software engineering workflows within Claude Code.
• Enhancing AI coding agents with persistent, evolving memory across multiple development sessions.