CGA (Context Graph Agent) is launching today, and I would love technical feedback from people building or using AI coding agents.
The core idea is simple: instead of giving an agent broad file dumps or noisy search results, CGA indexes a repository into a local graph of files, symbols, calls, imports, dependencies, and lightweight data flow. Agents can then query focused evidence through MCP-compatible tools before generating code.
CGA gives AI coding agents focused repository evidence instead of broad prompt dumps. It indexes files, symbols, calls, imports, dependencies, and lightweight data flow into a local graph, then exposes MCP-compatible tools for retrieval before generation. The admin UI, 3D graph viewer, CGA-Relay, schedules, backup, and benchmark workflow help teams test local-first context quality.
The software serves as a visual indicator of security clearance required by the USG. This banner, which is usually displayed on the top of documents or screens, features a color-coded design that signifies the necessary clearance level to access the data.
