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.
Local, cross-agent memory for AI coding agents using a single SQLite file, enabling persistent sessions and durable facts shared across multiple MCP-compatible tools.
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.
Local-first, governable long-term memory for AI agents. Provides SQLite-backed storage, cross-session recall, and traceable memory corrections through a standard MCP interface.
Enables coding agents to store, recall, and manage persistent memory across sessions through MCP tools, with reviewable handoffs and SQLite-backed local storage.