head to head · open source
OpenClaw vs llm-workflow-engine
OpenClaw has 393,747 GitHub stars, 82,755 forks, 6,671 open issues and last shipped yesterday. llm-workflow-engine has 3,717 stars, 461 forks, 3 open issues and last shipped yesterday. OpenClaw leads on adoption by 10,493% (393,747 vs 3,717 stars). OpenClaw is written in TypeScript under MIT; llm-workflow-engine is written in Python under MIT. OpenClaw has attracted 21% as many forks as stars, llm-workflow-engine 12%. OpenClaw was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| OpenClaw | llm-workflow-engine | |
|---|---|---|
| GitHub stars | ★ 394K | ★ 3.7K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 83K | ⑂ 461 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick OpenClaw if
- You weight community size — 394K stars and counting
- You want the MIT 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 OpenClaw
OpenClaw 🦞 — Your assistant, on your devices, in your chats OpenClaw is an open source AI assistant that runs on your own computer and meets you in the channels you already use: Discord, iMessage, Slack, Teams, Telegram, WhatsApp, and 20+ more, plus native apps for macOS, iOS, Android, Windows, and Linux. One Gateway runs it as a personal assistant on a laptop or as a shared team deployment; configuration is the only difference. Yours, with no catch. State, memory, and credentials live on your hardware. Models and agent harnesses (Claude, Codex, local models) are plugins you can swap without changing anything…
read the full OpenClaw 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 OpenClaw or llm-workflow-engine more popular?
OpenClaw has 393,747 GitHub stars and llm-workflow-engine has 3,717. OpenClaw has the larger community by that measure.
Are OpenClaw and llm-workflow-engine free?
Both are open source. OpenClaw is licensed under MIT and llm-workflow-engine under MIT. Neither carries a licence fee.
What is the difference between OpenClaw and llm-workflow-engine?
OpenClaw 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, OpenClaw or llm-workflow-engine?
Choose OpenClaw if you want the larger community (393,747 stars) or its MIT licence terms. Choose llm-workflow-engine if its feature set, stack or MIT licence fits better. Both are self-hostable.