Swarm plans the work, writes the code in parallel across the model providers you choose, reviews itself, and opens the PRs — then drives every run to done, even across restarts.
A planner decomposes your spec into a dependency graph; worker agents implement tasks concurrently in isolated git worktrees, then merge.
Route each phase and task across Anthropic, OpenAI, Gemini, Bedrock and more — cost-aware by default, with stronger models only where they earn it.
Every change is reviewed; a fix loop resolves findings before a PR opens, and integration validation builds the merged result as a final gate.
A declarative reconciler drives every run to its goal — resuming, retrying, and re-opening PRs across restarts. A stuck run is one the reconciler just hasn't advanced yet.
Routes across your providers
Org-scoped credentials and repos, two-factor auth, an audit log, hard cost caps, and a Jira integration that starts runs from labeled issues.