A digital human
that never quits
Give it 7 days and a mission. It researches, builds, designs, markets, and iterates autonomously — relentlessly problem-solving through every obstacle. Only limited by compute and API availability.
Inside the swarm console
Explore the pieces that power mission → tree → workers → steer. Select a module for a quick dry-run.
Core Concept
Give a mission and a wall-clock budget. swarmagents.codes decomposes it into a hierarchical task tree, auto-deepens until every leaf fits a small LLM worker, then executes in parallel.
Why it ships
Built for budgeted swarms
The product is a time-aware decomposition engine with live control — not a chat wrapper.
Time-budget fit
Decomposition scales to your wall-clock. A 1-hour mission becomes a dense tree of 1–3 minute leaves — not a shallow checklist.
Auto-deepen for small models
Oversized nodes split until every leaf fits a local / small LLM worker. More micro-tasks, less hallucination.
Live steering
Pause, prefer, avoid, re-decompose, or inject leaves while the swarm runs — with applied vs queued honesty.
Role → model & quota
Route architect, coding, research, validation, and browser work to different providers with RPM and daily $ caps.
Sandbox visibility
Watch agents in shell or browser tiles under the neon DAG — tool calls and viewports as they work.
Rich executable leaves
Acceptance criteria, tools, dependencies, and deliverable paths on every leaf — not vague labels.