head to head · open source
langchain vs PawWork_ZhuaZhua
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. PawWork_ZhuaZhua has 2,381 stars, 10 forks, 0 open issues and last shipped 2 months ago. langchain leads on adoption by 6,153% (148,892 vs 2,381 stars). langchain is written in Python under MIT; PawWork_ZhuaZhua is written in JavaScript under MIT. langchain has attracted 17% as many forks as stars, PawWork_ZhuaZhua 0%. langchain 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.
← all 20902 open source comparisons
Side by side
| langchain | PawWork_ZhuaZhua | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 2.4K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-11-02 | 2026-09-18 |
| Forks | ⑂ 25K | ⑂ 10 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 149K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick PawWork_ZhuaZhua if
- You want the PawWork_ZhuaZhua feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and PawWork_ZhuaZhua fits your workflow better
About langchain
The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…
read the full langchain overview →
About PawWork_ZhuaZhua
爪爪 · PawWork Treat the already logged in Chrome as a programmable computer. 爪爪 is the agent on that machine. 爪爪 · 完全解放版 ( PawWork ZhuaZhua ) is a Chrome MV3 unpacked extension. It runs a side panel agent that can drive the current tab ( action ), execute guest JS against the browser ( sys inside run ), and keep sheet / Univer doc / site HTML artifacts in the session. Not on the Chrome Web Store. No hosted model — bring your own key. Load it 1. Clone this repo, or download a Release zip 2. Chrome → chrome://extensions → Developer mode → Load unpacked → select the folder ( manifest.json is at its root) 3. Open the…
read the full PawWork_ZhuaZhua overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is langchain or PawWork_ZhuaZhua more popular?
langchain has 148,892 GitHub stars and PawWork_ZhuaZhua has 2,381. langchain has the larger community by that measure.
Are langchain and PawWork_ZhuaZhua free?
Both are open source. langchain is licensed under MIT and PawWork_ZhuaZhua under MIT. Neither carries a licence fee.
What is the difference between langchain and PawWork_ZhuaZhua?
langchain is written in Python and PawWork_ZhuaZhua in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, langchain or PawWork_ZhuaZhua?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose PawWork_ZhuaZhua if its feature set, stack or MIT licence fits better. Both are self-hostable.