mcp-memory-keeper and memorix
One is an MCP server for context management in AI coding assistants, and the other is a cross-agent memory bridge that utilizes MCP for persistent memory across various IDEs, making them complementary tools where the latter leverages the former's protocol.
About mcp-memory-keeper
mkreyman/mcp-memory-keeper
MCP server for persistent context management in AI coding assistants
This tool helps developers using Claude AI coding assistants avoid losing important context during long coding sessions. It takes your ongoing conversation, code snippets, decisions, and progress as input and persistently stores them. This means Claude can remember everything even when its internal memory fills up or you start a new session, giving you a continuous development experience.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work