LobeHub
An AI agent workspace that organizes agents into a team you can schedule and monitor, with multi-model chat, plugins and a polished interface.
What is LobeHub?
LobeHub, which grew out of LobeChat, is a chat and agent platform with a strong focus on design. You create agents, give them tools and plugins, chat with many model providers, and let agents run scheduled work and report back. It deploys to Vercel and similar platforms or with Docker, and has desktop apps for Linux, macOS and Windows. The interface is available in more than a dozen languages.
Good fit if
- You want a well-designed multi-model chat and agent workspace for yourself or a team.
- You plan to run agents on schedules rather than only chatting with them.
Look elsewhere if
- You need an OSI-approved license to build on: LibreChat is MIT.
- You want a smaller self-hosted stack: the full Docker setup runs about ten services, including PostgreSQL and Redis.
Before you adopt it
LobeHub moved from MIT to the LobeHub Community License in June 2024. It is Apache 2.0 with added conditions: you may run it commercially unmodified, but distributing a derivative work needs a commercial license, so it is not open source by the OSI definition. The license also says contributors accept that LobeHub may change the terms later.
Drafted with AI from the project's README and repository data, then checked against that data on 30 October 2026. Report a correction
LobeHub health: is it still maintained?
73 of 100, actively developed
Read from GitHub on 1 November 2026. How the score works
LobeHub license: is it open source?
LobeHub uses LobeHub Community License. It is source-available, not an OSI-approved open-source license: the code is public, but the license restricts how you may use it, usually commercially.
- May 2023First published on GitHub under MIT.
- 17 June 2024Changed to LobeHub Community License. Commit: chore(LICENSE): Update LICENSE to Apache 2.0 from LobeChat v1 (#1812)
- TodayLobeHub Community License.
How to run LobeHub yourself
- Docker
- Dockerfile or compose file in the repository
- Compose file
- docker-compose/deploy/docker-compose.yml: 10 services (postgres, redis, elasticsearch)
- Setup effort
- 5 of 5, judged from the compose file
- Kubernetes
- No Helm chart in the repository
- Desktop and mobile
- Builds for macOS, Windows, Linux, including ARM in GitHub releases
- Interface languages
- 16 languages
Install instructions: lobehub.com or the README on GitHub.
Alternatives to LobeHub
- LibreChatEnhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API,… 74 health · MIT · 46.6k stars
- ChatboxPowerful AI Client 79 health · GPL-3.0 · 42.2k stars
- FastGPTFastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box… 82 health · FastGPT Open Source License · 30k stars
- Hermes AgentThe agent that grows with you 76 health · MIT · 259k stars
- GPT ResearcherAn autonomous agent that conducts deep research on any data using any LLM providers 74 health · Apache-2.0 · 30.4k stars
Questions about LobeHub
Is LobeHub open source?
Not by the OSI definition. LobeHub uses LobeHub Community License, which makes the code public but restricts how it may be used.
Is LobeHub still maintained?
Its health score is 73 of 100 (actively developed). It had 2,967 commits in the last 90 days, the latest on 1 November 2026, and its latest release came out on 1 November 2026.
Did LobeHub change its license?
Yes. It moved from MIT to LobeHub Community License on 17 June 2024.
How do I run LobeHub?
You can run it with Docker, as an app for macOS, Windows, Linux, including ARM. The README on GitHub has the exact steps.
What are the alternatives to LobeHub?
Close alternatives in the AI chat & local LLMs category include LibreChat, Chatbox, FastGPT.