head to head · open source
Dify vs Agent-Reach
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. Agent-Reach has 108,014 stars, 9,640 forks, 137 open issues and last shipped 2 days ago. Dify leads on adoption by 48% (160,251 vs 108,014 stars). Dify is written in Python under a custom or non-standard licence; Agent-Reach is written in Python under MIT. Dify has attracted 16% as many forks as stars, Agent-Reach 9%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (automation), 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
| Dify | Agent-Reach | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 108K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 25K | ⑂ 9.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Agent-Reach if
- You want the Agent-Reach feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Agent-Reach fits your workflow better
About Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
About Agent-Reach
👁️ Agent Reach 给你的 AI Agent 一键装上互联网能力 当下最稳的接入方式，替你选好、装好、体检好——接入方式会换代，你不用操心 快速开始 · English · 日本語 · 한국어 · 支持平台 · 设计理念 ❤️赞助商 想出现在这里？ 点击折叠 BrowserAct 支持从 Amazon、LinkedIn、X、Google Maps 等复杂网站提取你需要的任意数据。你只需用自然语言描述抓取需求，Agent 就会基于真实浏览器自动探索并测试页面流程，生成可靠、可复用的数据采集 Bot，并返回结构化结果。无需手动构建爬虫，无需编写代码。BrowserAct 内置隐身浏览、验证码处理和高质量住宅代理，帮助你更稳定地完成复杂网页数据采集。新用户注册即送 1000 积分， 立即免费试用 。 在腾讯云 Lighthouse 秒级部署 OpenClaw 全能助手，可通过对话丝滑接入 Agent Reach，给你的 OpenClaw 一键装上互联网能力。 CoreClaw 网页抓取平台与现成数据采集工具，CoreClaw 提供 100+ 现成数据采集工具，支持 Amazon、TikTok、Google Maps、Instagram、Facebook、YouTube 等平台，无需代码，支持 JSON/CSV 导出，仅对成功结果计费。 免费$3测试！ 优刻得星图astraflow大模型…
read the full Agent-Reach overview →
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Frequently asked questions
Is Dify or Agent-Reach more popular?
Dify has 160,251 GitHub stars and Agent-Reach has 108,014. Dify has the larger community by that measure.
Are Dify and Agent-Reach free?
Both are open source. Dify has no licence declared in this registry, and Agent-Reach is licensed under MIT. Both are free to self-host.
What is the difference between Dify and Agent-Reach?
Dify is written in Python and Agent-Reach in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Dify or Agent-Reach?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose Agent-Reach if its feature set, stack or MIT licence fits better. Both are self-hostable.