There’s now a platform that hires AI agents for you from 273,000 skills and keeps them running 24/7 while you sleep

@lobehub just launched something called a Chief Agent Operator. you don’t build agents. you don’t prompt agents. you just say what needs doing, and it finds the right agent, deploys it, and reports back through Slack, Discord, or whatever you already use

In 2015, you hired humans on Fiverr for $5/hr. in 2026, AI is hiring AI like it has a budget and a calendar.

Currently most agent-powered workflow 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.

50%+ cost savings and cloud 24/7, no self-hosting

The way I understand LobeHub: Claude Code, Cursor, and Manus are powerful agents/tools, but LobeHub is the operator layer that decides who does what, when, and how the work comes back to you. 🧵 1.

🧵 2. Here, I’m using LobeHub as a Chief Agent Operator to build a mini Twitter growth workflow: one agent monitors AI trends, one researches the topic, one writes the thread, and one prepares it for manual publishing — without connecting my X account.

Now, these are no longer agents but employees.

🧵 4. Chief Agent Operator coordinates a trading team that runs portfolio health checks through Alpaca integration. It surfaces recommendations on positions based on technicals, fundamentals, and risk metrics. A single user command triggers the full structured analysis.