What would you need to trust an AI agent with real work?
Hey everyone, Nathan here from CopilotKit 👋
We’re getting ready to launch OpenBot, a self-hostable workspace for AI agents with built-in governance.
You can bring agents your team has already built through AG-UI, connect tools through MCP, and choose your models and infrastructure.
For business teams, that means control over how agents work:
• Grant tool access per Bot, role, and person.
• Require approval for sensitive actions and block others.
• Review an audit trail of what agents accessed and did.
• Run OpenBot on your own infrastructure.
Agent learning is part of this too. You can teach a process directly, or let agents learn from everyday work and turn successful approaches into reusable skills.
Ahead of launch, I’d love your perspective:
• What workflow would you hand over first to the bots you've created?
• What should always require approval?
• How would you want to review changes to an agent’s skills?
For a more thorough look, please check out: https://open.bot/


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