Launching today

AgentSky
Any harness, any LLM — cloud-hosted agents on demand.
80 followers
Any harness, any LLM — cloud-hosted agents on demand.
80 followers
Managed agent as a service: launch a long-horizon AI agent in one click — Claude Code, Codex, Hermes, or OpenClaw — with full history, managed recovery, and access through WhatsApp, iMessage, Telegram, Slack, web, API developers, and CLI.







AgentSky
Hey Product Hunt! 👋
I built AgentSky because production-ready AI agents require far more infrastructure than most people expect. The idea came from building tycoon.us, where we ran into the same challenges: testing multiple harness/LLM combinations (let alone harness version updates 😱), fast & secure sandboxes, surviving restarts, and connecting them to every channel users expect.
AgentSky does that plumbing for you. Pick a harness — Claude Code, Codex, Hermes, or OpenClaw — pick a model, and launch in one click, or a CLI command. Your agent runs always-on in its own cloud sandbox with full history, artifacts persistence, state snapshots, backup and restore.
It's reachable wherever your users already are — WhatsApp, iMessage, Telegram, Slack, web, CLI, or our developer API's. Same protocol, same memory, every harness, every channel.
Already battle-tested in production, AgentSky powers tycoon.us, where it has handled over 10K+ agent sessions.
Parking an agent is free — you only pay when it's actively working.
Would love your feedback, especially on which runtimes and channels you'd want next!
Triforce Todos
Love the pay-only-when-working model, that's a smart pricing call.
Curious how you're handling security across sandboxes when agents are running always-on like that?
AgentSky
@abod_rehman Great question! The agents are not always on in AgentSky, they suspend/resume base on work load. The sandboxes are based on MicroVM so that it is secure by standard and also fast to boot. Is there any particular security concern your product may care about?
This is exactly the kind of infra headache people underestimate until they hit it.
How long did it take you to get restart working reliably across different harnesses?
AgentSky
@boyuan_deng1 We dealt with these challenges for months, going back and forth on infrastructure. Eventually we realized this is a problem that deserves its own platform—not something every product team should have to solve from scratch. Do you think this would save your time if you were to build agent product?