head to head · open source
langchain vs PI-Desktop
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. PI-Desktop has 7,609 stars, 744 forks, 102 open issues and last shipped yesterday. langchain leads on adoption by 1,857% (148,892 vs 7,609 stars). langchain is written in Python under MIT; PI-Desktop is written in TypeScript under LGPL-3.0. langchain has attracted 17% as many forks as stars, PI-Desktop 10%. 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.
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Side by side
| langchain | PI-Desktop | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 7.6K |
| License | MIT | LGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 744 |
| 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 PI-Desktop if
- You want the PI-Desktop feature set and don't need the biggest community
- You prefer the LGPL-3.0 license terms
- Your stack matches TypeScript
- You evaluated both and PI-Desktop 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 PI-Desktop
PI Desktop The desktop workspace for AI coding agents. Bring your own model. Open any local project. Let agents work — while you stay in control. Local first · Model agnostic · Extensible · macOS / Windows / Linux Download · Documentation · Screenshots · Build a Plugin · 简体中文 No PI Desktop account. No mandatory relay. No editor lock in. Projects and sessions stay on your machine. Model requests go directly to the provider or endpoint you configure. [!IMPORTANT] PI Desktop is in Early Preview. It is already usable for real coding workflows, while APIs, extension interfaces, and some desktop behaviors are still…
read the full PI-Desktop overview →
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Frequently asked questions
Is langchain or PI-Desktop more popular?
langchain has 148,892 GitHub stars and PI-Desktop has 7,609. langchain has the larger community by that measure.
Are langchain and PI-Desktop free?
Both are open source. langchain is licensed under MIT and PI-Desktop under LGPL-3.0. Neither carries a licence fee.
What is the difference between langchain and PI-Desktop?
langchain is written in Python and PI-Desktop in TypeScript. 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 PI-Desktop?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose PI-Desktop if its feature set, stack or LGPL-3.0 licence fits better. Both are self-hostable.