Parallel task fan-out
Fan one backlog out to many cloud agents.
AgentSky creates one isolated cloud agent per task through a single API call, runs each in its own sandbox with the harness and model that fit the work, and streams structured results back through a consistent event contract. Teams process large task backlogs without building or operating a fleet.
Running many agent tasks in parallel means operating a fleet of runtimes teams never signed up to build.
How it works
One job. One complete cloud agent.
Each task runs in its own isolated agent
Create sessions programmatically — one isolated agent per task, priced per use.
Right harness and model route to each task type
Route each task to the harness and model that fit it; the API contract stays the same.
Structured results stream back per session
Stream events per session and keep artifacts, logs, and history for each run.
You choose
- Task list
- Stack per task
- Concurrency and budget
AgentSky runs
- A sandbox per session
- Streaming events
- Lifecycle and recovery
Software factories
AgentSky's software factory pattern routes each task through the same Agent API — the product owns queue and policy; AgentSky runs the isolated per-task sandbox and event stream.
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