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.
A local MCP server that gives AI harnesses a shared, filesystem-backed memory using the .agent folder, with tools to search and append lessons across sessions.
Persistent memory MCP server for AI agents, featuring a visual interface to browse, search, edit, and delete memory. It provides tools for capturing episodes, recalling, consolidating, crystallizing traits, and forgetting, with local SQLite storage and optional authenticated web UI.
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 local-first memory engine for AI agents with MCP-native, graph-linked, spaced repetition. It enables agents to log, retrieve, and manage learnings via CLI or MCP server.