Local-first repository memory for AI coding agents that indexes codebases into SQLite and exposes it through MCP tools, with a browser dashboard for architecture inspection.
Local repo-intelligence MCP for coding agents: indexes source, symbols, call graphs, git/GitHub history, and source-bound repo memories into local database.
Local-first persistent memory for coding agents and MCP clients. It keeps important project context across sessions and reduces wasted tokens by retrieving only relevant memories instead of replaying unnecessary history.
Enables AI coding agents to maintain persistent, cross-session memory of codebase architecture, naming conventions, and decisions through MCP tools. Eliminates repetitive project re-explanation by automatically injecting stored context into every session with local-first SQLite storage and optional team sharing capabilities.
Gives coding agents a local, SQLite-backed memory of a codebase, enabling them to query symbol impact, change history, and task scope through MCP while recording what actually changed after edits.