What website is this?
LobeHub (lobehub.com) treats Agents as the basic unit of everyday work: you create, group, and schedule multiple AI agents to handle writing, retrieval, and tool calls in parallel across Pages, projects, and workspaces. Personal memory and the resource library are editable, so behavior can align with how you actually work over time. The product spans cloud subscriptions plus macOS, Windows, Linux, iOS, and Android clients, with self-hosting and enterprise private deployment options. It fits knowledge workers and small teams who want one-off chats to become long-term teammates and are willing to configure MCP skills and scheduled tasks; if you only want occasional single-turn Q&A with no setup, it may feel heavy.
Key Features
- Describe a role in natural language to create an agent with automatic model and baseline configuration
- Organize agents into Agent Groups for parallel collaboration, division of labor, and multi-round iteration
- Co-write and revise in Pages with multiple agents sharing the same conversation context
- Set Schedule on agents to run predefined flows at specified times
- Upload documents and other assets to the resource library so answers ground on your materials
- Connect to the MCP skills market so agents can call external tools such as GitHub, databases, and Slack
Use Cases
- Product managers load PRDs and competitor notes into the resource library so writing agents draft and revise plans in Pages
- Startup teams run parallel research summaries and scheduling in Agent Groups while leads track output in Workspace
- Developers bind MCP skills so code-review agents read repo Issues and output fix suggestions
- Operations staff schedule patrol agents to summarize social or ticket highlights outside working hours
Who is it for?
- Knowledge workers who need multi-agent collaboration, cross-session memory, and project-style organization
- Technical teams already using multiple LLM APIs who want one entry point and skill orchestration
- Power users willing to browse Agent/MCP markets and tune prompts and resource libraries
- Less suitable: users who only ask occasional one-off questions and do not want agent or skill setup
- Less suitable: minimal-budget users sensitive to cloud Credits billing who cannot bring their own Provider API keys
How It Compares to Similar Tools?
- If you mainly need single-user chat with model choice, general Chat clients are lighter; LobeHub focuses on agent teams, scheduling, and editable memory
- If you need fixed-node workflow automation (Zapier-style), dedicated automation platforms are more rigid; LobeHub is conversation-driven with flexible skill extension
- If you require fully local offline use with no cloud sync, evaluate self-hosting or local model providers first; pure cloud use depends on accounts and the Credits system
What Our Customers Say
Sarah (Content operations)
I let writing agents in Pages handle long first drafts while I fix structure and fact-check. I care more about stable resource citations and whether multiple agents clash on the same context than slogans like “7×24” on the homepage.
David (Indie developer)
When wiring MCP for Issue summaries, I trial skill chains on a small repo before daily use. If Credits burn and model-switch rules are opaque, I hesitate to stay on cloud long term more than missing one marketplace template.
Mei (Small team lead)
A three-person team splits projects and agent ownership in Workspace instead of everyone opening separate Chat windows. If enterprise private pricing and self-host docs do not match expectations, we fall back to everyone bringing their own API keys lightly.
FAQs
Q: Can I use it without paying?
A: The site usually offers a free tier with monthly Credits refresh for core chat and some advanced features; exact limits and whether a card is required depend on the current pricing page.
Q: Do I have to install desktop or mobile apps?
A: No. You can use app.lobehub.com in the browser; desktop and mobile clients mainly support local runs and cross-device sync.
Q: How is this different from ChatGPT in the browser?
A: General chat focuses on single-session Q&A; LobeHub emphasizes reusable agents, team collaboration, scheduled tasks, resource libraries, and MCP tool chains for repeatable workflows.
Q: Can data stay on my own servers?
A: Docs include a self-hosting guide and enterprise options (private deployment, custom integration); for pure cloud accounts, storage and sync policies should be checked against privacy terms and plan details.
