head to head · open source
langchain vs OpenAgentsControl
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. OpenAgentsControl has 4,967 stars, 402 forks, 67 open issues and last shipped 8 days ago. langchain leads on adoption by 2,898% (148,892 vs 4,967 stars). langchain is written in Python under MIT; OpenAgentsControl is written in TypeScript under MIT. langchain has attracted 17% as many forks as stars, OpenAgentsControl 8%. 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-agents), 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.
← all 20902 open source comparisons
Side by side
| langchain | OpenAgentsControl | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 5.0K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-10-26 |
| Forks | ⑂ 25K | ⑂ 402 |
| 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 OpenAgentsControl if
- You want the OpenAgentsControl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and OpenAgentsControl 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 OpenAgentsControl
OpenAgents Control (OAC) Control your AI patterns. Get repeatable results. AI agents that learn YOUR coding patterns and generate matching code every time. 🎯 Pattern Control Define your patterns once, AI uses them forever ✋ Approval Gates Review and approve before execution 🔁 Repeatable Results Same patterns = Same quality code 📝 Editable Agents Full control over AI behavior 👥 Team Ready Everyone uses the same patterns Multi language: TypeScript • Python • Go • Rust • C • Any language Model Agnostic: Claude • GPT • Gemini • MiniMax • Local models 🚀 Quick Start • 💻 Show Me Code • 🗺️ Roadmap • 💬 Community…
read the full OpenAgentsControl overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is langchain or OpenAgentsControl more popular?
langchain has 148,892 GitHub stars and OpenAgentsControl has 4,967. langchain has the larger community by that measure.
Are langchain and OpenAgentsControl free?
Both are open source. langchain is licensed under MIT and OpenAgentsControl under MIT. Neither carries a licence fee.
What is the difference between langchain and OpenAgentsControl?
langchain is written in Python and OpenAgentsControl 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 OpenAgentsControl?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose OpenAgentsControl if its feature set, stack or MIT licence fits better. Both are self-hostable.