Open a task. Pick a workflow, an agent, and a model — then hit ▶ Play. A crew of AI agents plans it, splits big work into sub-issues, builds, tests, reviews its own diff, and self-heals CI. Point and click, no tags. Then go play padel.
Each role is a real agent with its own model, tools, persona, and skills. Pick one from the roster, pick a model, hit Play.
Every role is fully editable — persona, model, tools, skills, avatar. See the Agent editor ↓
Above the per-task agents sit two always-on minds — one drives the whole agency across every repo, the other keeps it honest from the outside.
Spans your whole agency and every repo it watches — it always knows what's running, what's blocked, and what's next. It cross-checks runs, plans with you in dialog, or takes the wheel.
A separate process that watches from the outside and keeps the crew in check. Read-only on the telemetry, it can't touch the agency — it only opens advisory issues proposing new skills, hooks, and deterministic code.
Point and click — no slash commands, no tags. Choose a workflow (or a single agent) and a model, press ▶ Play, and watch the run stream live. Or close the laptop and go play padel.
Talk through something large. The Decomposer breaks it into linked sub-issues, each run by a full agency pass. A final integration review checks the merged whole, then one Merge click ships every child PR.
The built-in ▶ Play train auto-starts each child when the previous one merges; parallelism kicks in when footprints don't overlap (file-lock gated).
A visual workflow builder and a full agent editor — no code required. Wire custom flows, gate them, and give each role its own brain.
Chain agent step-nodes with SVG connectors and gate badges — each step gets its own model, forced skills, hooks, and budget.
A strict output style strips preamble, summaries, and narration between agents — so cost goes to the work, not the chatter. Only the human-facing reply is written out in full.
Backed by per-role playbook loading (only what a role needs), capped lesson injection, and skipping redundant re-reads. No secret codec — just discipline that compounds across thousands of runs.
What turns “cool demo” into “runs our backlog unattended.”
Cheapest model that can do the job, per role — Planner on Opus, builders on Sonnet, testers on Haiku. Swap any of it for GLM, DeepSeek, Gemini, Grok, and more. Models are discovered live, so if a provider lists it, you can route to it.
Anthropic's official agent runtime — Claude subscription token or API key.
Runs in-process and unlocks every provider below, plus OpenRouter — any model they expose.
A simulated feed. The real dashboard streams every agent's steps, checks, and commits to your phone — and mirrors the whole conversation to GitHub.
†Dramatised mock-ups for this promo. Any resemblance to your exhausted on-call engineer is coincidental.
Deploy on your own Coolify box — a master key auto-generates, everything else is an in-app wizard. These “tiers” are a playful mock; it's one app that scales with the models you plug in.
Open an issue tonight. Wake up to a draft PR. Say “ship it” before coffee.