Run an agent fleet without building one.
AgentSky creates one isolated cloud agent per task through a single API call. Each sandbox starts independently, runs in parallel, and streams structured results — the same approach behind 40,835 tasks run across 10 agent stacks. You keep queue and output policy; AgentSky operates the sandboxes.
Running many agent tasks in parallel means operating infrastructure teams never signed up to build.
Choose something else when
Own the execution layer when you need self-hosting, custom queue placement, GPU training, kernel-level controls, or workload guarantees outside AgentSky's contract.
Starter prompt
Here are [N] items to work through: [list, file, or query]. Run one agent per item, apply the same instructions to each, and give me a single table of results with the failures separated out.
How it works
Step 1
One API call, one isolated agent per task
Create sessions programmatically — each task gets its own cloud sandbox, isolated from every other run. Priced per session, not per seat or per machine.
Step 2
Right agent stack routes to each task
Route different task types to different harness and model combinations. The API contract stays the same regardless of what runs behind it — the fleet is heterogeneous by default.
Step 3
Structured events stream back per session
Stream events per session. Artifacts, logs, and history land per run — consistent format across every agent in the fleet, ready to aggregate or route downstream.
What AgentSky runs
- A cloud sandbox per session
- Streaming events
- Lifecycle and recovery across the fleet
Software factories
AgentSky's software factory pattern creates one isolated cloud agent per task through the Agent API. The product owns queue logic and output routing; AgentSky operates every sandbox, event stream, and recovery layer.
Read the reference architecture