Run AI agents like a company. AgentOS helps you coordinate workspaces, agents, tasks, jobs, approvals, and runtime visibility from one local-first control surface built on OpenClaw.
Hey Product Hunt 👋
I built AgentOS because running one AI agent is easy — but operating many agents across real projects gets messy fast.
AgentOS lets you run AI agents like a company: organize workspaces, agents, tasks, models, sessions, approvals, onboarding, and runtime visibility from one local-first control surface.
It is built on top of OpenClaw, which handles the agent runtime and orchestration. AgentOS focuses on the human operating layer: structure, visibility, control, and daily execution.
My goal is to make agent teams operationally useful for builders, solo founders, and one-person companies.
This is still early, so I’d love your feedback:
What feels useful?
What feels confusing?
What would make this part of your workflow?
AgentOS is open source — stars, forks, issues, PRs, and contributors are very welcome.
Thanks for checking it out 🙏
Once multiple agents share a workspace, coordination seems to become more important than raw model capability.
Are users spending more effort defining agent roles, or managing the shared context between them?
the "run agents like a company" framing makes sense because that's where things are heading. one agent is easy, five agents doing different things across different workflows gets chaotic fast. curious how you handle cost visibility though... like if one agent starts looping and burning through tokens, is there a way to set per-agent spending limits or kill switches before the bill surprises you
About AgentOS on Product Hunt
“Manage AI agents, tasks, workspaces from one control layer”
AgentOS launched on Product Hunt on June 9th, 2026 and earned 98 upvotes and 6 comments, placing #19 on the daily leaderboard. Run AI agents like a company. AgentOS helps you coordinate workspaces, agents, tasks, jobs, approvals, and runtime visibility from one local-first control surface built on OpenClaw.
AgentOS was featured in Productivity (653.8k followers), Open Source (68.5k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 274.6k products, making this a competitive space to launch in.
Who hunted AgentOS?
AgentOS was hunted by Kazim Akgül. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AgentOS stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kazim Akgül