The agent operating system that plans, executes, and remembers.

Every task runs through a live LLM call with a real role — general execution, research, or planning — not a templated response.

Multi-step work runs as an explicit execution graph, so failure handling, retries, and step history are built in, not bolted on after the fact.

Agents recall past work by what it means, not just what it says — and what's yours is only ever visible to you.

Every agent run is traced end-to-end — prompts, latency, cost — so you can see exactly why it did what it did.

When a task needs the live web or a document, agents can browse and parse it into structured information instead of guessing.

For work that needs to reach outside the conversation — triggering processes, running searches — agents have real automation to call on.