
Open-source multi-agent OS for 24/7 AI teams
By Tanmay Verma, Founder · Last verified 20 Jun 2026
In short
LobeHub — Open-source multi-agent OS for 24/7 AI teams. Best for Teams needing 24/7 automated AI task execution without human monitoring, Developers who want an open-source, self-hostable multi-agent platform, Organizations consolidating multiple AI tools under one unified agent system. Free to start; paid plans from $9.9/mo.
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For teams needing 24/7 automated task execution, LobeHub's open-source flexibility and skill marketplace are unmatched. However, self-hosting requires DevOps effort. Best for developers who want full control.
Last verified: June 2026
LobeHub is a powerhouse for teams ready to deploy autonomous AI agents at scale. Its CAO concept automates scheduling and task delegation across agents, saving hours of human oversight. The skill marketplace and MCP server support give it a unique edge over closed platforms like Poe. However, non-technical teams may struggle with self-hosting, and the complexity of agent orchestration can be overwhelming for simple use cases. If you need a turnkey solution, consider Poe or ChatGPT. But for customization and control, LobeHub is top-tier. Real-world usage caveats: setup time is significant, and agent tuning requires iteration. Best suited for organizations with DevOps support and a clear need for automation.
Skip LobeHub if Skip LobeHub if you want a zero-setup, managed AI chat app without self-hosting or DevOps overhead.
Across the latest 1 update: 1 launch.
How likely is LobeHub to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: June 2026
How we score →LobeHub is an open-source, multi-agent operating system that lets you hire, schedule, and report on an entire AI team. It acts as your Chief Agent Operator (CAO), running agents 24/7 in the cloud and communicating via Slack, Discord, or whatever chat you already use. Built for teams that want to offload repetitive tasks, it supports any LLM provider (Google, AWS Bedrock, DeepSeek, AlibabaCloud, etc.) and features a Skills Marketplace with a vast library of skills and MCP servers. Agents are auto-configured from a one-sentence description, with long-horizon task execution, parallel collaboration, and iterative improvement. Key capabilities include personal memory, continual learning, adaptive behavior, and white-box structured memory. Unlike single-chatbot tools, LobeHub is an open-source alternative to platforms like Poe and ChatGPT, offering full control over agent behavior and deployment.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Concrete scenarios for the personas LobeHub actually fits — and what changes day-one when you adopt it.
You have 500 open GitHub issues and want them triaged overnight.
Outcome: Dispatch 50 agents via CAO; each agent categorizes and comments on issues. Wake up to a clean backlog.
You want a bot that answers support questions using internal docs and multiple LLMs.
Outcome: Create an agent with skills for Slack integration, document search, and model routing. Deploy in hours.
You need a weekly sales summary using Python and GPT-4.1.
Outcome: Set up an Agent Task with a cron schedule. The agent runs the script, posts the report to Slack every Monday.
Self-host requires a working Vercel or Docker setup — not zero-effort for non-developers. The cloud tier is invite-only with a credit-based model that can be confusing to budget against. Skills marketplace quality is uneven (community-published, not curated). Multi-user / team governance is lighter than enterprise platforms. As of May 2026, a supply chain incident caused all issues in the repo to be closed, though it was fully disclosed.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published LobeHub tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
Free
Ideal for
Developers and teams with existing API keys who want full data control and are willing to self-host.
What this tier adds
Free self-hosted entry point. Bring your own API keys and infrastructure.
Free
$0/mo
Ideal for
Individuals wanting to test LobeHub Cloud with 500K monthly credits and basic features.
What this tier adds
Starting cloud tier. 500K credits/month, 10MB file storage, 100 vector entries.
Starter
$9.9/mo
Ideal for
Light users needing more credits and vector storage — e.g., solo builders or small projects.
What this tier adds
Adds 5M credits/month, 1GB file storage, 5K vector entries, early SOTA model access, agent memory.
Premium
$19.9/mo
Ideal for
Power users and small teams with moderate multi-agent workloads.
What this tier adds
15M credits/month, 2GB file storage, 10K vector entries, priority email support.
Ultimate
$39.9/mo
Ideal for
Heavy users and teams needing high throughput and priority chat support.
What this tier adds
35M credits/month, 4GB file storage, 20K vector entries, priority chat and email support.
Enterprise
Custom
The company stage and team size where LobeHub's pricing actually pencils out — and where peers do it cheaper.
LobeHub's Free self-hosted tier is the cheapest way to get multi-model access if you already have API keys. Cloud tiers start at $9.9/mo (Starter) vs ChatGPT Plus $20/mo or Poe $19.99/mo — but credit burn varies by model choice. Teams spending heavily on GPT-4.1 may find costs comparable. Enterprise is custom-priced.
How long it actually takes to get something useful out of LobeHub — broken out by persona, not the marketing-page minute.
Self-host on Vercel: ~10 minutes with one-click deploy. Docker setup: ~30 minutes. Cloud sign-up (invite-only): wait for approval, then minutes. Creating a new agent: under 1 minute via one-sentence builder. Agent Tasks/CAO: add another 10-15 minutes to configure schedules and dependencies.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
LobeHub is the next-generation agent harness designed to democratize AI power. Move beyond one-off, task-driven tools and build long-term agent teammates that grow with you in the world’s largest human–agent co-evolving network.
Full product docs from lobehub.com
Get up and running fast from lobehub.com
Full product docs from lobehub.com
Full product docs from lobehub.com
Full product docs from lobehub.com
Updates from the LobeHub team and Community—product, engineering, and ecosystem.
Docs, guides, and Community resources to help you get the most out of LobeHub.
Track new features, fixes, and improvements in LobeHub.
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team. - lobehub/lobehub
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