Use cases
What will your cloud agent do?
Start with the job that needs doing. Choose the agent harness and model that fit it, then call the AgentSky API.
A cloud computer
Booted, warm, and isolated per session.
Session state
Persists between messages and restarts.
Tools
Browser, search, files — already wired in.
Managed connections
Slack, Telegram, or your own API.
No runtime to build or maintain.
Agent Arena
AgentSky's Agent Playground has run 40,000 tasks across 10 agent and model combinations in 10 categories. Pick the configuration that performs best on work like yours — then start a compatible cloud agent from the same screen.
Overnight migrations
AgentSky runs migrations, refactors, and multi-step research on a persistent cloud computer. The same runtime that has executed 40,835 benchmarked tasks keeps the session available beyond your laptop connection and recovers supported interruptions without manual runtime operations.
Code review workflows
AgentSky starts one isolated cloud agent per review job, streams structured events to your product through a single API contract, and keeps that contract stable as harnesses and models change underneath. Tested across 40,835 runs and 10 agent stacks.
Agent evals
AgentSky runs the same skill against multiple cloud agent stacks simultaneously. Compare quality, time, and cost under identical task conditions — real runs across 10 agent and model combinations, not gut feel.
Background agents
AgentSky runs your agent in a persistent cloud sandbox that retains files, state, and session history across supported pause, restart, and image-update flows. This runtime has completed 40,835 tasks across 10 agent stacks without a local machine to keep alive. Any authorized teammate can resume from web, Slack, Telegram, or the API.
Agents in Slack
AgentSky connects a cloud agent to Slack, Telegram, or Discord as a native channel — 3 platforms, one shared persistent session per agent. Each teammate reaches the agent from the conversation tool they already use — same session, same history, no separate interface to learn.
Agent fleet
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.
Launch your own agent
AgentSky hosts agents configured with your own instructions, tools, and model — in the browser or with sky launch. Each launched agent gets an API endpoint, and you can connect Slack, Telegram, or Discord across 10 compatible agent stacks.
Looking for proof?