Everything agents need to ship
Agent Swarm is built around autonomous work: many agents, isolated environments, durable memory, and proof that the code actually runs.
A whole team, working at once
The lead agent fans work out to a swarm. A planner explores while a coder builds and a tester verifies — each in its own thread, none blocking the others.
- Many threads per project, each an independent agent
- Sub-agents drill in for focused tasks
- Stop or steer any agent mid-run
Context that never overflows
Beyond rules and markdown, a materialized knowledge base captures architecture, conventions, and decisions as structured records — distilled and refreshed by background agents.
- Knowledge base of architecture & decisions
- Automatic distillation as threads grow
- The right context loaded per request
Proof it works, not just that it compiles
Every implementation task produces a Playwright recording of the working feature, with acceptance criteria encoded as executable assertions that run on every change.
- Playwright video for each implementation
- Acceptance criteria as runnable tests
- Regressions caught automatically
The rest of the toolkit
Isolated sandboxes
Every agent gets its own cloud sandbox, branched from main. Compute-heavy builds and test suites never bottleneck your laptop.
Agent triggers
Configurable automations fire on tool calls, events, or schedules. Docs update when code changes; tests run when specs move.
Native git
Project is a repo, each thread a branch. User messages are checkpoints, agent output auto-commits, and Commit Thread merges or opens a PR.
Acceptance-driven planning
Before code is written, the system surfaces edge cases — refresh, resize, empty and stale data — and encodes them as executable tests.
View in your IDE
Fetch any agent's branch locally and review it in Cursor or VS Code's native diff — accept or reject per file. No extension required.
Ship your next feature with a swarm
Spin up your first project in under a minute. Bring a git repo or start from an empty one.