Generates structured project memory and exposes MCP tools for AI coding agents to query topology, read relevant files, and log changes in a repository.
Provides AI coding agents with five intelligence layers (dependency graph, git history, documentation, architectural decisions, code health) via nine MCP tools, enabling deep codebase understanding and reducing exploration cost.
Provides AI agents with persistent, cross-session architectural memory by automatically mapping repository structure and tracking context over time. It enables bitemporal fact storage, hybrid search, and structured retrieval through MCP tools.