LobeHub
Open-source multi-agent orchestrator that runs your AI team 24/7 with a Chief Agent Operator.
LobeHub is a genuinely powerful open-source multi-agent orchestrator, but its credit-based pricing and setup complexity are real barriers. Buyers who live in agent orchestration will find the CAO's 24/7 autonomy and vast skill marketplace unmatched. Others should consider simpler hosted chatbots like ChatGPT or Poe.
Verified 1h ago · liveness 87/100 · cite: rightaichoice.com/tools/lobehub
- 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
- Users who want to deploy agents in existing chat platforms like Slack or Discord
- Users seeking a simple single-LLM chatbot without agent orchestration complexity
- Non-technical teams with no DevOps support for self-hosting or tuning
- Budget-constrained teams that cannot invest time in setup and agent tuning
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Skip LobeHub if you want a simple single-LLM chatbot without agent orchestration complexity, or if you need fixed, predictable pricing without credit-based metering.
WeChat messaging now requires a paid plan (personal or Pro/Business) starting July 10, 2026, so budget for an upgrade if you rely on that channel.
LobeHub's freemium pricing (Free, Starter $9.9/mo, Premium $19.9/mo, Ultimate $39.9/mo) suits individuals and small teams that want flexibility and a huge skill marketplace. It's cheaper than comparable hosted agent platforms like Poe, but if you only need a simple chatbot, free tiers of ChatGPT or Claude may be enough. For heavy usage, the credit system can become pricier than flat-rate alternatives.
In short
LobeHub — Open-source multi-agent orchestrator that runs your AI team 24/7 with a Chief Agent Operator. 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.
What's new in LobeHub
Checked todayAcross the latest 4 updates: 1 pricing change and 3 changelog entries.
v2.2.12 - Home Dashboard for Agents, Onboarding Tasks, Tab Improvements
Home becomes a dashboard with agent status cards, onboarding suggests starter tasks, tabs shrink to fit, local agent setup wizard, MCP connectors in desktop, and Markdown source mode for profiles.
v2.2.11 - Gemini 3.6 Flash Support, Terminal Tabs Improved
Gemini 3.6 Flash supported with four thinking levels, multimodal input, web search, and tool use. Desktop terminal gets clearer tabs and faster rendering.
WeChat Messaging Access Changes - Paid Plan Required after July 10, 2026
After July 10, 2026, new WeChat connections require a paid personal plan or Pro/Business Workspace; existing connections also need paid plan after notice period. Only affects WeChat channel.
v2.2.10 - Faster Chat Context & Codex Quota
Adds arrow key history, restore rich messages to input, forward context to another agent, drag local files as path context, check Codex quota before running, and agent-level usage stats.
Viability Score
How well maintained and how widely used is LobeHub? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Chief Agent Operator (CAO) for 24/7 AI team orchestration
- Auto agent formation from one-sentence description
- Long-horizon task execution with parallel multi-agent collaboration
- Skills Marketplace with 333,560+ skills and 87,881+ MCP servers
- Personal memory with continual learning and white-box editable memory
- Multi-model support: DeepSeek V4 Pro, Claude Sonnet 5, GPT-5.6, Grok 4.5, Kimi K3, GLM-5.2, Gemini 3.6, and more
- Agent groups with iterative improvement through feedback loops
- Multimodal workflow across Pages, Schedule, Projects with shared context
- IM Gateway to deploy agents in Slack, Discord, Telegram, Feishu, WeChat, LINE, QQ
- RAG, file upload, knowledge management, SVG/HTML generation
- Audio message sending to agents and drag-in images
- Browser pairing for device control
- Delivery checks with verification reports
- Built-in terminal (Lab experiment)
- Arrow key history for input
About LobeHub
LobeHub is an open-source multi-agent platform that organizes your AI agents into a 7×24 operation. It acts as a Chief Agent Operator (CAO) that hires, schedules, and reports on your entire AI team, letting you stay in charge without staying online. Designed for teams offloading repetitive tasks, it supports any LLM provider via a vast model picker including DeepSeek V4 Pro, Claude Sonnet 5, GPT-5.6, Grok 4.5, Kimi K3, GLM-5.2, Gemini 3.6, and more. The Skills Marketplace offers over 333,000 skills and 85,000+ MCP servers, while auto-agent formation from a one-sentence description enables rapid task delegation. Key features include long-horizon task execution with parallel multi-agent collaboration, personal memory with continual learning, white-box editable memory, and multimodal workflow across Pages, Schedule, and Projects. The platform supports RAG, file upload, knowledge management, SVG/HTML generation, audio messages, drag-and-drop images, and browser pairing. LobeHub also provides an IM Gateway to deploy agents directly into Slack, Discord, Telegram, Feishu, WeChat, LINE, and QQ, with recent updates adding built-in terminal (Lab), delivery checks, and arrow key history. Self-hostable on Windows, Mac, Linux, or deployable via Docker, LobeHub positions itself as an open-source alternative to Poe and ChatGPT with full control over agent behavior and deployment.
Behind the Verdict
LobeHub stands out as one of the most ambitious open-source multi-agent platforms available. Its Chief Agent Operator (CAO) can autonomously dispatch dozens of agents, manage long-horizon tasks, and report through your existing chat tools—Slack, Discord, Telegram, and more. The sheer scale of its ecosystem—over 333,000 skills and 87,000+ MCP servers—means you can likely find a ready-made capability rather than building from scratch. The one-sentence agent builder is genuinely impressive: describe a task, and LobeHub auto-configures an agent with a name, role, and skills. For teams that live in agent orchestration, this is a game-changer. However, LobeHub is not for everyone. The credit-based pricing can be confusing and unpredictable, as different models burn credits at wildly different rates. The free tier's 10 MB file storage is tight, and the platform's depth means a learning curve—especially if you want to self-host or tune agents for your workflow. Non-technical teams may find the setup and agent tuning overwhelming without DevOps support. Also, the recent WeChat messaging change—requiring a paid plan after July 10, 2026—is a reminder that some features can become paywalled as the service evolves. If you're a developer or a team already comfortable with multi-agent systems, LobeHub offers unmatched flexibility and control. But if you want a simple chatbot or don't need 24/7 autonomous agents, simpler options like ChatGPT or Poe might be a better fit. For those who do need scale, LobeHub is a serious contender worth evaluating—just budget for setup time and get comfortable with credit math.
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Real-world workflow fit
Concrete scenarios for the personas LobeHub actually fits — and what changes day-one when you adopt it.
You have 500 open GitHub issues. You create a CAO task with a one-sentence description, and it dispatches 50 agents overnight to triage, categorize, and draft responses.
Outcome: You wake up to a dashboard showing each agent's completed work, with reports delivered to Slack, so you can review and prioritize in minutes instead of hours.
You need weekly competitive analysis reports. You set up an agent group with a schedule, telling it to analyze three competitor websites and summarize key changes.
Outcome: Every Monday morning, a report lands in your Telegram channel, complete with citations and a summary of what changed, freeing your team for other work.
Your support team is overwhelmed. You deploy an agent to your Discord server via the IM Gateway, training it on your knowledge base and product docs.
Outcome: The agent answers common support tickets 24/7, escalating complex issues to a human with full context, and you see a measurable drop in response times.
Use Cases
- Self-host a polished ChatGPT-style UI on Vercel and bring your own API keys.
- Compare GPT-5.6, Claude Sonnet 5, and Gemini 3.6 Flash side by side from one interface.
- Install community-built agent skills (translator, code reviewer) instead of writing system prompts.
- Run Ollama locally and attach LobeHub as the front-end for a fully-private setup.
- Use agent groups for stock trading analysis, meeting summaries, or paper reviews.
- Assign tasks to agents with dependencies and cron schedules using Agent Tasks.
- Let CAO autonomously sweep 500 GitHub issues overnight with 50 agents.
- Deploy agents in Slack or Discord to answer support tickets 24/7.
Models Under the Hood
as of 2026-08-14
Limitations
- LobeHub's cloud service uses a credit-based system that may be confusing to budget against, as different models consume credits at varying rates.
- The free tier includes limited file storage (10 MB) and lacks support for certain models.
- WeChat messaging requires a paid plan starting July 10, 2026, based on the changelog note.
- Community-published skills may vary in quality.
as of 2026-08-15
Verification history
We have re-verified LobeHub 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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12-month cost
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.
Plans compared
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.
Free
$0/mo
Ideal for
Individuals exploring LobeHub's chat and agent basics, with up to ~300 DeepSeek V4 Pro messages per month and 10 MB storage.
What this tier adds
Starting tier: 500,000 credits/month, access to DeepSeek V4 Pro and Grok 4.6, but no Claude or GPT models.
Starter
$9.9/mo
Ideal for
Solo power users or freelancers who need more messages, early access to SOTA models, and 1 GB storage for light file work.
What this tier adds
Adds Claude Sonnet 5 and GPT-5.6 access, 5M credits/month, 1 GB storage, and 5,000 vector entries.
Premium
$19.9/mo
Ideal for
Small teams with moderate agent usage that want priority email support and higher storage (2 GB) for knowledge management.
What this tier adds
15M credits/month, Claude Opus 5 support, 10,000 vector entries, and priority email support.
Ultimate
$39.9/mo
Ideal for
Heavy users or growing teams running many agents 24/7, needing 35M credits and 20,000 vector entries.
What this tier adds
35M credits/month, 4 GB storage, priority chat and email support, and access to GPT-5.5 Pro.
Enterprise
Custom
Ideal for
Organizations needing private deployment, commercial licensing, and custom integration support.
What this tier adds
Custom pricing with private deployment, self-hosted providers, brand theming, and user management.
Where the pricing makes sense
The company stage and team size where LobeHub's pricing actually pencils out — and where peers do it cheaper.
LobeHub's freemium pricing (Free, Starter $9.9/mo, Premium $19.9/mo, Ultimate $39.9/mo) suits individuals and small teams that want flexibility and a huge skill marketplace. It's cheaper than comparable hosted agent platforms like Poe, but if you only need a simple chatbot, free tiers of ChatGPT or Claude may be enough. For heavy usage, the credit system can become pricier than flat-rate alternatives.
Setup time & first value
How long it actually takes to get something useful out of LobeHub — broken out by persona, not the marketing-page minute.
For a basic cloud account: under 10 minutes to sign up, choose a model, and start chatting. To set up your first agent with custom skills: 30–60 minutes. Self-hosting on your own machine: 1–2 hours, depending on your experience with Docker and environment setup.
Switching to or from LobeHub
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Poe or ChatGPT: You can keep using the same prompts and models, but you'll need to rebuild your agents and skills in LobeHub's system.
- →From a local ChatGPT-like UI (e.g., chatbox): You can import your API keys and start chatting immediately, then explore agent features at your own pace.
- ↗To Another Multi-Agent Platform (e.g., AutoGen, CrewAI): You can export agent definitions (prompts, skills) manually, but you'll need to re-implement your workflows.
- ↗To a Simpler Chatbot (e.g., ChatGPT, Poe): You can stop using LobeHub and keep your API keys; your chat history may not be portable, so plan to save important context.
Integrations
Resources & Guides
- Documentationlobehub.com
Introduction
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.
- Resourcelobehub.com
Blog
Updates from the LobeHub team and Community—product, engineering, and ecosystem.
- Resourcelobehub.com
Resources
Docs, guides, and Community resources to help you get the most out of LobeHub.
- Resourcelobehub.com
Changelog
Track new features, fixes, and improvements in LobeHub.
- Resourcegithub.com
GitHub
🤯 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
Tutorials & Learning
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Frequently Asked Questions
Best-of guides
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