head to head · open source
langchain vs nexent
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. nexent has 6,122 stars, 768 forks, 265 open issues and last shipped yesterday. langchain leads on adoption by 2,332% (148,892 vs 6,122 stars). langchain is written in Python under MIT; nexent is written in Python under MIT. langchain has attracted 17% as many forks as stars, nexent 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.
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Side by side
| langchain | nexent | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 6.1K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 768 |
| 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 nexent if
- You want the nexent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and nexent 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 nexent
Nexent is a zero code platform for auto generating production grade AI agents, built on Harness Engineering principles. It provides unified tools, skills, memory, and orchestration with built in constraints, feedback loops, and control planes — no orchestration, no complex drag and drop required, using pure language to develop any agent you want. One prompt. Endless reach. Watch the demo video 🚀 Get Started Now ⭐ Before you get started, please star us on GitHub — your support drives us forward! Deploy on Your Own If you need to run Nexent locally or in your private infrastructure, we offer two deployment…
read the full nexent overview →
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Frequently asked questions
Is langchain or nexent more popular?
langchain has 148,892 GitHub stars and nexent has 6,122. langchain has the larger community by that measure.
Are langchain and nexent free?
Both are open source. langchain is licensed under MIT and nexent under MIT. Neither carries a licence fee.
What is the difference between langchain and nexent?
langchain is written in Python and nexent 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, langchain or nexent?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose nexent if its feature set, stack or MIT licence fits better. Both are self-hostable.