head to head · open source
LobeChat vs llm-workflow-engine
LobeChat has 83,716 GitHub stars, 16,033 forks, 922 open issues and last shipped yesterday. llm-workflow-engine has 3,717 stars, 461 forks, 3 open issues and last shipped yesterday. LobeChat leads on adoption by 2,152% (83,716 vs 3,717 stars). LobeChat is written in TypeScript under a custom or non-standard licence; llm-workflow-engine is written in Python under MIT. LobeChat has attracted 19% as many forks as stars, llm-workflow-engine 12%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatgpt), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| LobeChat | llm-workflow-engine | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 3.7K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 16K | ⑂ 461 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 84K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick llm-workflow-engine if
- You want the llm-workflow-engine feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and llm-workflow-engine fits your workflow better
About LobeChat
[![][image banner]][vercel link] LobeHub LobeHub organizes your agents into 7×24 operation. It hires, schedules, reports on your entire AI team. You stay in charge — without staying online. English · 简体中文 · [Official Site][official site] · [Changelog][changelog] · [Documents][docs] · [Blog][blog] · [Feedback][github issues link] [![][github release shield]][github release link] [![][docker release shield]][docker release link] [![][vercel shield]][vercel link] [![][discord shield]][discord link] [![][codecov shield]][codecov link] [![][github action test shield]][github action test link] [![][github action…
read the full LobeChat overview →
About llm-workflow-engine
LLM Workflow Engine LLM Workflow Engine (LWE) is a Power CLI and Workflow manager for LLMs. Read the documentation WATCH INTRO VIDEO Welcome! What would you like to do? Learn about the project Install LWE Learn how to use it Read the documentation Learn more about configuration/features Troubleshoot common issues Upgrade LWE Using GPT4 Report a bug Get support What happend to the original ChatGPT Wrapper project? See CHATGPT WRAPPER.md ChatGPT Wrapper was an amazing tool for its time, thank you to its original creator mmabrouk for all your hard work, it lives on in a new form :) Highlights 🤖 LWE lets you use…
read the full llm-workflow-engine overview →
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Frequently asked questions
Is LobeChat or llm-workflow-engine more popular?
LobeChat has 83,716 GitHub stars and llm-workflow-engine has 3,717. LobeChat has the larger community by that measure.
Are LobeChat and llm-workflow-engine free?
Both are open source. LobeChat has no licence declared in this registry, and llm-workflow-engine is licensed under MIT. Both are free to self-host.
What is the difference between LobeChat and llm-workflow-engine?
LobeChat is written in TypeScript and llm-workflow-engine in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LobeChat or llm-workflow-engine?
Choose LobeChat if you want the larger community (83,716 stars) or its Custom / other licence terms. Choose llm-workflow-engine if its feature set, stack or MIT licence fits better. Both are self-hostable.