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.
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 lightweight, local-first MCP server and CLI that helps developers and AI coding agents store and retrieve lessons learned during development, using SQLite and context-aware filtering.
An MCP server that lets coding agents search, retrieve, and add development notes as plain markdown, capturing and sharing knowledge during live coding sessions.
A machine-local, agent-writable knowledge base MCP server that lets coding agents autonomously record and retrieve hard-won operational facts, incidents, and corrections as markdown pages in a git repo, with provenance, talk pages, and search.
MCP server that captures and recalls coding session memory (failures, decisions, diffs) for AI agents, enabling cross-agent continuity and preventing repeated mistakes.
