Up to 97% fewer tokens
Compact work packets replace broad source scans with targeted graph context.
Your million-line system, now it fits in your head.
Every good change starts with understanding the system, and that's where engineers and AI agents lose the most time. Klauro analyzes it once, then gives agents compact work packets and humans a simple way to see how it all fits together.
Features
Not a file index. A behavior graph.
CAS captures domains, entry points, services, data models, tests, risks, patterns, idioms, runtime signals, and change impact.
Up to 88% faster
Agents start from domains, files, risks, tests, and conventions instead of rediscovering them.
Better codebase fit
Idiom and invariant checks keep changes aligned with local architecture and practices.
One truth layer for humans and agents
See agent workflowProposal previews
Analyze planned changes as real codebase iterations with graph, contract, risk, and test impact.
Runtime-aware roadmap
Telemetry will connect traffic, errors, traces, and bottlenecks back to the static CAS graph.
Hosted or local
Run the MCP locally while hosted analyzers protect proprietary analysis logic and scale heavier work.
Contact
Contact Klauro
Tell us about your repositories, agents, and what you want to prove. We will follow up directly.
Give your agents visualization and context before they build.
Klauro helps teams see what AI built, guide what agents change next, and keep large systems coherent as they grow.
Contact usFAQ
Questions teams ask first.
Does Klauro replace my coding agent?
No. Klauro is the codebase map and MCP context layer your agent uses before and during engineering work.
Does source code have to leave my machine?
No. Klauro supports local analysis by default, with hosted and self-hosted analyzer paths for teams that want them.
What does Klauro give agents?
Compact work packets with target files, flows, risks, tests, idioms, invariants, and validation guidance.