Product 01
Agent teams
that ship software.
agentd runs teams of specialised AI agents that take a work item from plan to a reviewed pull request — on your infrastructure, under your identity, with every step on the record.
Team builder
Create agents from templates or from scratch: model, prompt, skills, capabilities, delegation edges. Saving a definition never starts a workload — starting one is a separate, deliberate act.
One desired state, two runtimes
The same team definition materialises as containers on Docker locally and as Deployments on Kubernetes in production. Concurrent edits fail loudly with a conflict instead of silently overwriting each other.
Delivery with a human gate
Clone, plan, delegate, code, run the project’s own tests, push, open the pull request. Review and merge are yours — the pull request is the gate.
Identities without ceremony
A delegation edge creates a scoped OIDC client automatically; removing the edge removes the client. Published agents get their public URL and an exact-origin browser client from one wildcard DNS record.
Skills and tools, allowlisted
Checked-in skill packages, explicit command allowlists, web search, image generation, diff review, shared repository knowledge. The UI grants compiled capabilities — it does not turn arbitrary code into tools.
Cost and evidence
Every run records actor, model, tokens and cost. Reasoning and tool steps are visible live while the team works — not reconstructed afterwards.
How a task ships
Five steps, all of them visible.
- Frame it. Title, acceptance criteria, repository — the work item carries everything, the team is repository-agnostic.
- The lead plans. It breaks the goal down and delegates by the files that will change, not by the wording of the task.
- Specialists build. Scout reads, developers write, in a shared workspace — each seat with its own model and its own rights.
- The project judges. The team runs your test suite, not a proxy metric. Failures are reported, not hidden.
- You decide. Push, pull request, review — nothing merges without a person.
First measured end-to-end run: 10 min 52 s, $0.10, 20/20 tests green — verified independently, and every run since is measured the same way.