Lobe Chat
Open-source multi-model AI workspace, positioned by the platform as the Chief Agent Operations Officer, supports centralized scheduling and management of multiple Agents, provides a skill marketplace and MCP servers, and can be used in common chat tools via an IM gateway.
Updated: 2026-10-26
What is Lobe Chat?
LobeChat (official website: LobeHub) is an open-source multi-model AI workspace. The Chinese title on the official website clearly states its positioning: "LobeHub - Your Chief Agent Operations Officer", the bold slogan on the homepage is "Your Chief Agent Operator", and the description reads: "LobeHub organizes your Agents into 24/7 operation. It will recruit, schedule and generate reports for your entire AI team. You always have full control โ no need to be online all the time."
Its form is no longer a simple chat box, but a dispatch desk with "Agent as the working unit". The official website lists five sections: operation, long-cycle tasks, creation, collaboration and evolution. In community tweets, developers call it "Universal LLM Web UI" and mention that it can run on Windows, Mac and Linux with 1 click.
Who is it for?
- Technical leaders who need to manage multiple AI agents simultaneously, schedule their tasks, and review progress reports.
- Developers who want to build their own Agent workflows but do not intend to write a framework from scratch.
- Teams that are already using IM collaboration tools such as Telegram, Discord, and Slack and want to integrate Agents into their existing conversation flows.
- Users who value self-hosting and open-source controllability and are willing to configure their own model API Keys.
Key features
6Operations (Long-cycle Tasks)
The official documentation states that you set the strategy, and the platform is responsible for running the Agents, as well as hiring, scheduling, and reporting on the work of the entire AI team.
Creation (Agent as the working unit)
The official website provides an Agent Marketplace and an Agent Builder, claiming that you can start with one sentence, and the name, role, skills and behaviors will be automatically set.
Unified Intelligence (Any Model, Any Modality)
The official website positions this as a core selling point, emphasizing the selectability of models and modalities.
Skills and MCP Marketplace
The homepage of the official website displays two figures: "334,163+ SKILLs" and "106,994+ MCP servers", which are used to connect Agents to external capabilities.
IM Gateway
The official website states that you can use Agents in the chat tools you are already using without opening a new client.
Collaboration & Evolution
The official website lists features such as multi-person shared Workspaces, scheduling running time for Agents to work, as well as personal memory and structured editable memory.
How to use Lobe Chat
- The number of Skills and MCP servers displayed on the homepage is a dynamic marketing statement.
- The actual number you can install depends on your own runtime environment.
- do not estimate the capability based on these figures.
- "One-click automatic configuration" is for convenience, but the automatically generated roles and behaviors may not comply with your business specifications.
- Be sure to check each item one by one after creation before letting it run long-term tasks.
- When self-hosting, first confirm the cost attribution and data flow of the model API Key.
- the retention policies of different providers vary.
- Connecting to MCP servers or Skills means integrating external capability sources.
- check the credibility of the source and the scope of permissions before integration, especially for extensions involving file writing or command execution.
Traffic & popularity
Data month Sep 2026
Lobe Chat receives about 2.2M visits per month and ranks #22,474 worldwide.
Monthly visits
12 monthsTraffic sources
- Search59.6%
- Direct26.2%
- Referrals10.1%
- Social2.0%
- AI assistants1.6%
- Other0.6%
Top countries
- China17.9%
- United States13.6%
- South Korea6.0%
- Vietnam4.7%
- India4.1%
Estimated from third-party traffic data.
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