head to head · open source

langchain vs agency-agents-zh

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. agency-agents-zh has 21,802 stars, 3,504 forks, 1 open issues and last shipped 7 days ago. langchain leads on adoption by 583% (148,892 vs 21,802 stars). langchain is written in Python under MIT; agency-agents-zh is written in Shell under MIT. langchain has attracted 17% as many forks as stars, agency-agents-zh 16%. 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.

langchain ★ 149K agency-agents-zh ★ 22K category AI & Machine Learning

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Side by side

langchain agency-agents-zh
GitHub stars ★ 149K ★ 22K
License MIT MIT
Written in Python Shell
Last push 2026-11-02 2026-10-27
Forks ⑂ 25K ⑂ 3.5K
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

full langchain profile →

pick agency-agents-zh if

  • You want the agency-agents-zh feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Shell
  • You evaluated both and agency-agents-zh fits your workflow better

full agency-agents-zh profile →

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…

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About agency-agents-zh

agency agents 中文版(AI 智能体专家团队) 🌐 简体中文 繁體中文 English (upstream) 277 个即插即用的 AI 专家角色 — 覆盖公司经营(CEO/CTO/CMO/COO/CPO/CFO)、工程、设计、营销、产品、游戏、安全、GIS、金融等 20 个部门。不是通用提示词模板,每个智能体都有独立的人设、专业流程和可交付成果。支持 Claude Code / Cursor / Copilot 等 20 种 AI 编程工具。 agency agents 的中文社区版。在完整翻译上游的基础上,新增了 63 个中国市场原创智能体(小红书、抖音、微信、B站、飞书、钉钉等平台运营,以及跨境电商、政务ToG、医疗合规、Qt 工业上位机、机械设计、畜禽养殖档案核对等垂直领域)。 想更好地用起来,或想给团队打造统一的智能体工作台?下载桌面客户端(原生 App,免装 Node,macOS / Windows / Linux),或在线体验 ao.aiolaola.com/experts。 📊 项目规模 📖 官方配套课程 → AI 专家团队实战(35 节,免费):手把手把这仓 277 位专家用成一支团队——单兵点名、自动组队、一人公司全流程,桌面端零代码教学。另有 从零学会 AI 编程(182 节)+ 从零构建 AI 智能体(40 节)(站上共 13 门课、648 节, 全部 ¥0 ——另有 AI…

read the full agency-agents-zh overview →

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Frequently asked questions

Is langchain or agency-agents-zh more popular?

langchain has 148,892 GitHub stars and agency-agents-zh has 21,802. langchain has the larger community by that measure.

Are langchain and agency-agents-zh free?

Both are open source. langchain is licensed under MIT and agency-agents-zh under MIT. Neither carries a licence fee.

What is the difference between langchain and agency-agents-zh?

langchain is written in Python and agency-agents-zh in Shell. 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 agency-agents-zh?

Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose agency-agents-zh if its feature set, stack or MIT licence fits better. Both are self-hostable.