head to head · open source
Dify vs langroid
Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. langroid has 4,103 stars, 400 forks, 52 open issues and last shipped 2 days ago. Dify leads on adoption by 3,706% (156,167 vs 4,103 stars). Dify is written in TypeScript under a custom or non-standard licence; langroid is written in Python under MIT. Dify has attracted 16% as many forks as stars, langroid 10%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, gpt, 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
| Dify | langroid | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 4.1K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 25K | ⑂ 400 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 156K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick langroid if
- You want the langroid feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langroid fits your workflow better
About Dify
Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.
About langroid
Langroid is a Python framework for building applications powered by large language models through multiple agents. It comes from researchers at CMU and UW Madison, and it lives in the Python AI development ecosystem. Developers create agents, give them optional components such as a language model, a vector store, and tools or functions, and assign tasks that the agents solve by exchanging messages.
read the full langroid overview →
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Frequently asked questions
Is Dify or langroid more popular?
Dify has 156,167 GitHub stars and langroid has 4,103. Dify has the larger community by that measure.
Are Dify and langroid free?
Both are open source. Dify has no licence declared in this registry, and langroid is licensed under MIT. Both are free to self-host.
What is the difference between Dify and langroid?
Dify is written in TypeScript and langroid 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, Dify or langroid?
Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose langroid if its feature set, stack or MIT licence fits better. Both are self-hostable.