Up to 97% fewer tokens
Compact work packets replace broad source scans with targeted graph context.
Engineers and AI coding agents burn time building a mental model before they can make a good change. Klauro analyzes the system once, then provides agents with compact work packets and gives humans a simple way to visualize the codebase.
Features
CAS captures domains, entry points, services, data models, tests, risks, patterns, idioms, runtime signals, and change impact.
Compact work packets replace broad source scans with targeted graph context.
Agents start from domains, files, risks, tests, and conventions instead of rediscovering them.
Idiom and invariant checks keep changes aligned with local architecture and practices.
Analyze planned changes as real codebase iterations with graph, contract, risk, and test impact.
Telemetry will connect traffic, errors, traces, and bottlenecks back to the static CAS graph.
Run the MCP locally while hosted analyzers protect proprietary analysis logic and scale heavier work.
Contact
Tell us about your repositories, agents, and what you want to prove. We will follow up directly.
Klauro helps teams see what AI built, guide what agents change next, and keep large systems coherent as they grow.
Contact usFAQ
No. Klauro is the codebase map and MCP context layer your agent uses before and during engineering work.
No. Klauro supports local analysis by default, with hosted and self-hosted analyzer paths for teams that want them.
Compact work packets with target files, flows, risks, tests, idioms, invariants, and validation guidance.