mcp-memory-service and memorix
These are **complements**: mcp-memory-service provides the persistent memory backend and knowledge graph infrastructure, while memorix implements that memory layer specifically for AI coding agents across multiple IDEs, allowing them to work together in an integrated agentic system.
About mcp-memory-service
doobidoo/mcp-memory-service
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
This service provides a shared, persistent memory for AI agents, allowing them to retain information and learn across different tasks and sessions. It takes in decisions and facts from various agents, organizing them into a knowledge graph. The output is fast, relevant context that helps agents make better decisions, suitable for anyone building or managing multi-agent AI systems, like AI solution architects or AI product managers.
About memorix
AVIDS2/memorix
Cross-Agent Memory Bridge Persistent memory for AI coding agents across 10 IDEs (Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro, Antigravity, OpenCode, Trae, Gemini CLI) via MCP. Team collaboration, auto-cleanup, mini-skills, workspace sync. Never re-explain your project again.
This project gives AI coding agents a shared, persistent memory that goes beyond a single conversation or IDE. It helps developers and engineering teams using multiple AI coding agents like GitHub Copilot or Gemini CLI by allowing agents to remember past project details, decisions, and reasoning across different sessions and development environments. The result is that you don't have to re-explain your project to your AI assistant repeatedly.
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