LobeHub Chief Agent Operator Manages Your AI Team

Juggling five different AI agents usually means hopping between five tabs. LobeHub's Chief Agent Operator manages the whole team from one place, and the open-source project has now passed 81,500 GitHub stars.

That gives you one operator that hires, schedules, and reports on your AI workforce around the clock, with no complicated setup.

What Happened

LobeHub's Chief Agent Operator is an open-source workspace for AI agent orchestration. It works with more than 10,000 skills and MCP plugins, so you don't need a complex setup to connect your tools. It organizes agents into self-improving teams that learn and adjust their workflows over time, and it gives agents organized, editable memory so they remember how you work.

The whole thing runs around the clock. The operator handles hiring, scheduling, and status reports for your AI team, and it pulls every agent conversation and role into a single centralized command center. No more tab chaos.

Why It Matters

If you work with multiple AI agents, this changes how multi-agent collaboration feels. Instead of leaving each agent to work on its own, you get an autonomous team that keeps improving and stays under your control. Since it's 100% free and open-source, you can customize the whole architecture to fit your workflows.