head to head · open source
langchain vs loop-engineering
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. loop-engineering has 11,683 stars, 1,575 forks, 9 open issues and last shipped yesterday. langchain leads on adoption by 1,174% (148,892 vs 11,683 stars). langchain is written in Python under MIT; loop-engineering is written in TypeScript under MIT. langchain has attracted 17% as many forks as stars, loop-engineering 13%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, anthropic), 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 | loop-engineering | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 12K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 1.6K |
| 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 loop-engineering if
- You want the loop-engineering feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and loop-engineering 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 loop-engineering
Loop Engineering Stop prompting. Design the loop. Get a score. Start in 5 minutes · Quickstart · What do you want to do? · Refactor path · 中文 · Pattern picker tool defaults to claude if you omit it. Swap for grok , codex , or opencode . Week one is report only . You design a system that discovers work, hands it to agents, verifies results, and persists state — instead of typing the next prompt yourself. New here? Quickstart · Refactor a project · Thin GitHub Action loop (no STATE.md required) What do you want to do? This is a pattern library for operating agents around a codebase . It is not a “rewrite the…
read the full loop-engineering overview →
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Frequently asked questions
Is langchain or loop-engineering more popular?
langchain has 148,892 GitHub stars and loop-engineering has 11,683. langchain has the larger community by that measure.
Are langchain and loop-engineering free?
Both are open source. langchain is licensed under MIT and loop-engineering under MIT. Neither carries a licence fee.
What is the difference between langchain and loop-engineering?
langchain is written in Python and loop-engineering 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 loop-engineering?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose loop-engineering if its feature set, stack or MIT licence fits better. Both are self-hostable.