head to head · open source

langchain vs genoffice

langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped today. genoffice has 7,067 stars, 932 forks, 32 open issues and last shipped yesterday. langchain leads on adoption by 1,974% (146,562 vs 7,067 stars). langchain is written in Python under MIT; genoffice is written in TypeScript under Apache-2.0. langchain has attracted 17% as many forks as stars, genoffice 13%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.

langchain ★ 147K genoffice ★ 7.1K category AI & Machine Learning

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Side by side

langchain genoffice
GitHub stars ★ 147K ★ 7.1K
License MIT Apache-2.0
Written in Python TypeScript
Last push 2026-09-18 2026-09-17
Forks ⑂ 25K ⑂ 932
Self-hosting Yes Yes
Data ownership Your server Your server

pick langchain if

  • You weight community size — 147K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langchain profile →

pick genoffice if

  • You want the genoffice feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and genoffice fits your workflow better

full genoffice profile →

About langchain

LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.

read the full langchain overview →

About genoffice

GenOffice The world's first full featured open source AI Office suite. Word, Excel, PowerPoint and PDF files, edited by you and your AI, saved back in the real formats. English · Español · Português (Brasil) · Deutsch · Français · 简体中文 · 繁體中文 · 한국어 · 日本語 · العربية · Русский · Italiano · Nederlands · Polski · Čeština · Bahasa Indonesia · Bahasa Melayu · ไทย · हिन्दी · עברית Download · CLI · MCP · Website · Community · Privacy GenOffice is a free, open source alternative to Microsoft Office for macOS, Windows and Linux. It opens and saves native .docx , .xlsx and .pptx files, edits PDF, Markdown and HTML, and puts …

read the full genoffice overview →

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Compare either of these against the rest of the AI Development Platforms field.

langchain vs Dify langchain vs ponytail langchain vs generative-ai-for-beginners langchain vs graphify langchain vs claude-mem langchain vs ragflow langchain vs PaddleOCR langchain vs Agent-Reach langchain vs headroom langchain vs Mem0 langchain vs daily_stock_analysis langchain vs LiteLLM

Frequently asked questions

Is langchain or genoffice more popular?

langchain has 146,562 GitHub stars and genoffice has 7,067. langchain has the larger community by that measure.

Are langchain and genoffice free?

Both are open source. langchain is licensed under MIT and genoffice under Apache-2.0. Neither carries a licence fee.

What is the difference between langchain and genoffice?

langchain is written in Python and genoffice 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 genoffice?

Choose langchain if you want the larger community (146,562 stars) or its MIT licence terms. Choose genoffice if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.