head to head · open source
langchain vs agents-best-practices
langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped today. agents-best-practices has 2,336 stars, 209 forks, 6 open issues and last shipped 13 days ago. langchain leads on adoption by 6,174% (146,562 vs 2,336 stars). langchain is written in Python under MIT; agents-best-practices is written in various languages under MIT. langchain has attracted 17% as many forks as stars, agents-best-practices 9%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agents, 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 | agents-best-practices | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 2.3K |
| License | MIT | MIT |
| Written in | Python | — |
| Last push | 2026-09-18 | 2026-09-05 |
| Forks | ⑂ 25K | ⑂ 209 |
| 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 agents-best-practices if
- You want the agents-best-practices feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and agents-best-practices 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 agents-best-practices
agents best practices is a provider neutral Agent Skill for designing, generating MVP blueprints for, auditing, refactoring, and explaining agentic harnesses, aimed at practitioners building agents with Codex, Claude Code, or other compatible harnesses.
read the full agents-best-practices overview →
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Frequently asked questions
Is langchain or agents-best-practices more popular?
langchain has 146,562 GitHub stars and agents-best-practices has 2,336. langchain has the larger community by that measure.
Are langchain and agents-best-practices free?
Both are open source. langchain is licensed under MIT and agents-best-practices under MIT. Neither carries a licence fee.
What is the difference between langchain and agents-best-practices?
langchain is written in Python and agents-best-practices in various languages. 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 agents-best-practices?
Choose langchain if you want the larger community (146,562 stars) or its MIT licence terms. Choose agents-best-practices if its feature set, stack or MIT licence fits better. Both are self-hostable.