head to head · open source
nanobot vs llm-workflow-engine
nanobot has 49,806 GitHub stars, 8,711 forks, 775 open issues and last shipped yesterday. llm-workflow-engine has 3,717 stars, 461 forks, 3 open issues and last shipped 3 days ago. nanobot leads on adoption by 1,240% (49,806 vs 3,717 stars). nanobot is written in Python under MIT; llm-workflow-engine is written in Python under MIT. nanobot has attracted 17% as many forks as stars, llm-workflow-engine 12%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), 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
| nanobot | llm-workflow-engine | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 3.7K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-02 |
| Forks | ⑂ 8.7K | ⑂ 461 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nanobot if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Python
- 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 nanobot
English 简体中文 繁體中文 Español Français Bahasa Indonesia 日本語 한국어 Русский Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long term memory, MCP integrations, model routing, multi agent delegation, scheduled automation, and an OpenAI compatible API in a small, readable core. Start Here What can nanobot do? nanobot is a self hosted personal AI agent runtime. It can: run in a browser WebUI or terminal connect to Telegram, Discord, Slack, WeChat, Email…
read the full nanobot 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 nanobot or llm-workflow-engine more popular?
nanobot has 49,806 GitHub stars and llm-workflow-engine has 3,717. nanobot has the larger community by that measure.
Are nanobot and llm-workflow-engine free?
Both are open source. nanobot is licensed under MIT and llm-workflow-engine under MIT. Neither carries a licence fee.
What is the difference between nanobot and llm-workflow-engine?
nanobot is written in Python 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, nanobot or llm-workflow-engine?
Choose nanobot if you want the larger community (49,806 stars) or its MIT licence terms. Choose llm-workflow-engine if its feature set, stack or MIT licence fits better. Both are self-hostable.