LobeHub launches Chief Agent Operator to orchestrate multiple AI agents at once
LobeHub launched the Chief Agent Operator, an orchestration layer for running multiple AI agents simultaneously. The system hires agents from a marketplace of 273,000 skills, schedules tasks continuously in the cloud, and routes progress reports through standard messaging apps. It replaces manual workflows that required opening separate agents, restating context, assigning tasks individually, monitoring progress, and moving outputs between tools.
#1032Rohan Paul@ROHANPAUL_AIManaging AI agents by hand is yesterday’s job. hire a Chief Agent Operator and move on.
LobeHub launched just that. It turns AI agents from one-off chat helpers into a cloud-run operations team.
The old model asks you to open separate agents, repeat context, assign tasks, check progress, move results between apps, and decide when to escalate work.
LobeHub has an operator layer that hires agents from a 273K-skill marketplace, schedules them in the cloud 24/7, and sends reports through the IM apps where teams already work.
So their "Task" turns an agent into a background worker: you assign the job once, the agent keeps running, shares progress, moves finished work to Pending Review, and updates its work when you leave comments.
#1802Santiago@SVPINOBeyond all of the marketing speak, this creates an orchestration layer for agents.
Basically, this will help tremendously when you are running multiple agents simultaneously (which is really hard, in case you haven't tried).
