Central MCP server for storing and querying lessons learned and project-specific implementation details, compatible with MCP-capable AI clients like Cursor, Claude Code, and Google Antigravity.
A persistent memory server that stores and retrieves atomic coding insights like architectural decisions and debugging patterns for AI agents. It enables agents to maintain institutional knowledge across sessions using semantic search and local SQLite storage.
A tiny local MCP memory server that stores lessons learned and resurfaces them before your AI agent repeats the same mistake. It provides tools for adding, searching, listing, forgetting, and inspecting lessons via MCP stdio.