LobeHub - Your Chief Agent Operator for multi-agent work
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LobeHub is a Chief Agent Operator (CAO) that builds, runs, and coordinates your AI agent team. Describe a goal, and it assembles the right agents/skills, runs tasks in parallel in the cloud, routes work across models, and reports back only when decisions are needed—via your existing channels (Slack/Discord/Telegram/iMessage). Less tab-switching, more outcomes.
Replies
What happens if an agent gets stuck in a loop? Does CAO intervene or just surface it?
LobeHub
@andrew_paul11 If the retry also stalls or the cost/risk crosses your budget, it stops and surfaces it to you with the trace, the suspected cause, and 2–3 suggested next moves. No silent burning of tokens.
Is iMessage support live? That’s the first time I have seen a launch support Apple’s native chat.
LobeHub
@antonio_manuel1 will support it in the few weeks. 🔥 Stay tuned!
LobeHub
😁 273K Skills + 51K MCP servers behind one prompt feels a little unreal even to me. Let me know what you end up running through it — I want to see the weird stuff.
LobeHub
@cy948 Haha for real, the numbers sound fake until you actually wire something up and watch it route 😄
BetterClaw
273K skills sounds impressive but how many of those have actually been vetted for security. running untested skills across parallel agents is a huge attack surface especially when you're routing through real credentials on slack and gmailv
LobeHub
@tina_chhabra We're building a security audit for Skills in marketplace, because making sure the entire ecosystem is secure enough is one of our commitments!
SpotVault
Have been using it for icons. Really cool.
LobeHub
@samihindi Thanks! Have fun with icons~ 😆
With 273K+ skills in the pool, how does CAO decide which agents to actually assemble for a goal — is there a ranking or filtering layer, or does it try a broader set and prune based on early results?
LobeHub
@hirogure Great question — we don't load all 273K into context. The agent only sees a lightweight catalog (identifier + one-line description) of what's installed, picks what fits via an Activator call, and only hits the marketplace's ranked searchSkill API when nothing local matches. So it's rank-and-filter upfront, not broad fan-out then prune — picking wrong is much cheaper than executing wrong.
The CAO framing clicked — im tired of being the human router between claude code and slack pings
LobeHub
@novamaker01 Haha "human router" is painfully accurate — that was literally the whiteboard sketch that started this whole thing. Glad the framing landed 🫡
DeckSpeed
LobeHub
@hanzhizhang0405 Thanks for asking. We care a lot about this problem.
We're actively working on skill selection and governance to ensure quality keeps pace with scale.
On the LobeHub Skill Market, that means routing, ranking by quality signals, and safety governance with auditing as a commitment to the community.
On the LobeHub Web, it means a more personalized, long-term skill experience where skills can evolve with each user's workflows.
The 273K figure is exciting, but the real goal is to make that supply reliable, useful, discoverable, safe, and personal.
wait so its like... i just tell it what i want to do and it goes off and does it? not sure i'm brave enough to let an AI just run 5 agents at once in parallel without watching what's happening lol
LobeHub
@boyuan_deng1 It's designed to do task like this. Just give a try.