AgentSky

I like that AgentSky puts different models and agent tools in one place. It could save a lot of time when testing ideas, especially for people who don’t want to set up everything themselves. I’d still like to see more real examples before using it for a bigger project.

Congrats Darren! The channels part is what sells it for me. I correct my coding agent from the phone mid-run all the time, and that flow is usually held together with duct tape. Curious: when a WhatsApp message lands while the agent is mid-task, does it interrupt the run or queue until the current step finishes?

Congratulations on the launch!I like the idea and after reading comments i like that context is shared between agents and channels as well as you don't pay if the agent is not used. I would like to try it next dayse with with some of my tasks.

Saying state restore is best effort and cannot prevent a race condition is rare on a launch day. You mentioned wanting idempotent agent replies in your own layer. Where do you think that line sits between the infra and the product on top, Darren?

Reaching a long running agent from WhatsApp or iMessage instead of yet another dashboard feels like how normal people would actually use this. Congrats Darren, the 10,000 plus sessions on tycoon.us before launching is reassuring too. What does recovery look like when an agent goes sideways, can I roll back to any earlier snapshot?

Can AgentSky automatically scale when multiple users start interacting with the same agent? how do you handle sudden spikes in agent sessions?

If you had to recommend one harness for someone building their first long-running agent, which one would you suggest, and why?

congrats! can developers choose different LLM models for the same harness? how quickly can you switch models without changing the agent configuration?

I like that agents stay available across WhatsApp, Slack, and the web. Meeting users where they already work makes a lot of sense.

how does pricing work when an agent is parked but still maintaining its state? is there any cost for storage, snapshots or backups while it is inactive?

Congrats on the launch! 👏How does AgentSky handle failed or partially completed tasks? can an agent resume from its previous state instead of starting over?

what runtime or channel are you most excited to add next? are you prioritizing integrations based on community requests or technical demand?

Congrats on the launch! What does the developer API expose compared with the CLI? can teams programmatically create, pause, resume and manage agents?

how does AgentSky handle failed or partially completed tasks? can an agent resume from its previous state instead of starting over?

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!