AgentOS: A local-first control layer for managing multiple AI agents across projects
By
Kazim Akgül
Summary
AgentOS is a local-first control layer for managing multiple AI agents across projects. Built on OpenClaw, it provides structure for organizing workspaces, agents, tasks, models, sessions, approvals, onboarding, and runtime visibility. The tool is designed for builders, solo founders, and small teams who need to coordinate AI agent operations like a company, solving the complexity that arises when scaling from one agent to many.
Source
Product HuntAgentOS: A local-first control layer for managing multiple AI agents across projectsproducthunt.comKey quotes
· 3 pulledI 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.
My goal is to make agent teams operationally useful for builders, solo founders, and one-person teams.
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