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.
Persistent memory for AI coding agents. Enables agents to save and recall decisions, patterns, bugs, and context across sessions via an MCP server with 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.
A local MCP server that acts as long-term memory for AI coding assistants, storing lessons and patterns in a local SQLite database with optional hybrid vector search via Ollama.
A local-first MCP server and CLI that gives coding agents structured project memory, task contracts, context packs, backlog workflows, and verification evidence, storing data in reviewable Markdown/YAML with a fast SQLite index.
MCP server that provides offline-first, persistent memory for AI coding assistants. It captures project decisions and conventions into a local SQLite database and syncs them to tool-specific memory files like CLAUDE.md and AGENTS.md.