Insights · Featured
Cayu — everything you need to build long-horizon agents
In the physical world, long-horizon agents aren’t just nice to have; they are a must-have. Work spans days and weeks. It crosses people, documents, equipment, and approvals. The cost of being wrong is real.
We should have a standard framework to build, deploy and manage, and improve these agents for consequential work — for example, demurrage claims in energy trading.
Our product is built for that.
1. Cayu Runtime
Cayu Runtime with harness primitives is open-sourced (soon). This will be the default way to build long-horizon agents, gain AI model independence, reduce token consumption by 60–70% compared to Claude Managed Agents, and gain full control of AI agents — auditability, security, tools, and more.
2. Cayu Cloud
Cayu Cloud is where long-horizon agents live and work. It is Temporal, but fine-tuned for long-horizon agents: durable runs, immutable releases, rollback, and an audit trail that survives days of execution.
3. Cayu Compound
Cayu Compound is a self-improving mechanism with full agent lineage. Each run, approval, and release becomes something the next version can learn from — without losing the trail of what changed and why.
Together: Runtime to build, Cloud to run, Compound to improve. That is everything you need to put long-horizon agents on consequential work.