head to head · open source
langchain vs MonkeyCode
langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped yesterday. MonkeyCode has 4,727 stars, 719 forks, 341 open issues and last shipped yesterday. langchain leads on adoption by 3,001% (146,562 vs 4,727 stars). langchain is written in Python under MIT; MonkeyCode is written in TypeScript under AGPL-3.0. langchain has attracted 17% as many forks as stars, MonkeyCode 15%. MonkeyCode 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 | MonkeyCode | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 4.7K |
| License | MIT | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-18 | 2026-09-18 |
| Forks | ⑂ 25K | ⑂ 719 |
| 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
pick MonkeyCode if
- You want the MonkeyCode feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches TypeScript
- You evaluated both and MonkeyCode fits your workflow better
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 MonkeyCode
MonkeyCode is an open source, AGPL 3.0 licensed enterprise AI development platform that lets a team run AI coding tasks through cloud development environments, either self hosted inside a corporate network or through a hosted online service.
read the full MonkeyCode overview →
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Frequently asked questions
Is langchain or MonkeyCode more popular?
langchain has 146,562 GitHub stars and MonkeyCode has 4,727. langchain has the larger community by that measure.
Are langchain and MonkeyCode free?
Both are open source. langchain is licensed under MIT and MonkeyCode under AGPL-3.0. Neither carries a licence fee.
What is the difference between langchain and MonkeyCode?
langchain is written in Python and MonkeyCode 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 MonkeyCode?
Choose langchain if you want the larger community (146,562 stars) or its MIT licence terms. Choose MonkeyCode if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.