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qualityA mem0-like memory system for GitHub Copilot that provides persistent knowledge storage and retrieval capabilities using local ChromaDB.
Last updated -
MIT License
Why this server?
This server is a mem0-like memory system specifically designed for GitHub Copilot, providing persistent knowledge storage and retrieval capabilities using local ChromaDB, directly addressing 'memories usage' and 'github copilot'.
Why this server?
This is a lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents, making it highly relevant for 'memories usage' within a development context.
Why this server?
This server provides persistent memory and semantic code understanding for AI assistants, enabling intelligent code search, memory management, and pattern detection across codebases, directly fitting 'memories usage' and 'github copilot' context.
Why this server?
This server offers time intelligence, persistent memory, and complete traceability for AI coding agents, enabling sophisticated activity tracking and cross-session continuity, which is ideal for 'memories usage' with tools like GitHub Copilot.
Why this server?
This server creates and maintains a semantic knowledge graph of code, allowing context maintenance across sessions with AI assistants like Claude, and providing advanced search capabilities, which strongly aligns with 'memories usage' for code and 'github copilot' use cases.
Why this server?
This server enables AI assistants to automatically log and manage conversation history with developers in structured markdown, providing powerful search and context suggestions to maintain continuity across sessions for tasks related to coding and development.
Why this server?
This server offers structured memory management across chat sessions for AI assistants like Claude, allowing them to maintain context and build a knowledge base within project directories, highly relevant for 'memories usage' in a coding environment.
Why this server?
This server enables AI assistants to maintain persistent conversations and context between sessions through automated saving and global installation across projects, making it a good fit for 'memories usage' in diverse coding projects.
Why this server?
This server provides a project memory bank and RAG context provider for enhanced code understanding and management, integrating with coding tools, directly supporting 'memories usage' for code-related tasks.
Why this server?
This server provides persistent graph memory with automatic disk storage for building knowledge graphs, storing entity relationships, and maintaining context across sessions for AI memory retention, which is valuable for complex coding projects and AI assistants.