Local-first codebase context engine that parses code into a ranked dependency graph and serves it to AI tools via MCP for deep structural understanding.
Local MCP server providing project cognition capabilities for AI coding agents, including context packs, impact analysis, and git diff review through stdio communication.
CLI + MCP server that bootstraps persistent project context for any AI agent, storing structured information using hierarchical dot notation and exposing it via MCP tools for session-over-session knowledge growth.
Local-first MCP server that turns project documentation and source code into durable, evidence-backed context for AI agents, with bounded retrieval and explicit gap reporting.
Local-first MCP server that indexes all projects on your machine and provides coding agents with briefings about each project's stack, services, and run instructions, so they can start sessions with context across all repos. No cloud, no accounts, no telemetry.