head to head · open source
AnythingLLM vs llm-workflow-engine
AnythingLLM has 66,155 GitHub stars, 7,348 forks, 311 open issues and last shipped yesterday. llm-workflow-engine has 3,715 stars, 467 forks, 3 open issues and last shipped 13 days ago. AnythingLLM leads on adoption by 1,681% (66,155 vs 3,715 stars). AnythingLLM is written in JavaScript under MIT; llm-workflow-engine is written in Python under MIT. AnythingLLM has attracted 11% as many forks as stars, llm-workflow-engine 13%. AnythingLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| AnythingLLM | llm-workflow-engine | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 3.7K |
| License | MIT | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-09-17 | 2026-09-05 |
| Forks | ⑂ 7.3K | ⑂ 467 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 66K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- 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 AnythingLLM
AnythingLLM is a local first AI application that enables users to chat with their documents using any large language model (LLM), local or cloud hosted. It runs as a self hosted service—by default in Docker—and provides a complete interface for document ingestion, agent orchestration, multi user access, and workflow automation without requiring external cloud dependencies. The project lives in the local AI and AI interaction ecosystem, targeting users who want full control over their data and model selection.
read the full AnythingLLM 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 the…
read the full llm-workflow-engine overview →
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Frequently asked questions
Is AnythingLLM or llm-workflow-engine more popular?
AnythingLLM has 66,155 GitHub stars and llm-workflow-engine has 3,715. AnythingLLM has the larger community by that measure.
Are AnythingLLM and llm-workflow-engine free?
Both are open source. AnythingLLM is licensed under MIT and llm-workflow-engine under MIT. Neither carries a licence fee.
What is the difference between AnythingLLM and llm-workflow-engine?
AnythingLLM is written in JavaScript 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, AnythingLLM or llm-workflow-engine?
Choose AnythingLLM if you want the larger community (66,155 stars) or its MIT licence terms. Choose llm-workflow-engine if its feature set, stack or MIT licence fits better. Both are self-hostable.