head to head · open source

graphify vs Agent-Reach

graphify has 141,064 GitHub stars, 13,483 forks, 1,350 open issues and last shipped yesterday. Agent-Reach has 108,014 stars, 9,640 forks, 137 open issues and last shipped 2 days ago. graphify leads on adoption by 31% (141,064 vs 108,014 stars). graphify is written in Python under Apache-2.0; Agent-Reach is written in Python under MIT. graphify has attracted 10% as many forks as stars, Agent-Reach 9%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude-code, cursor), 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.

graphify ★ 141K Agent-Reach ★ 108K category AI & Machine Learning

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Side by side

graphify Agent-Reach
GitHub stars ★ 141K ★ 108K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-02 2026-11-01
Forks ⑂ 13K ⑂ 9.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 141K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

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

full Agent-Reach profile →

About graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

read the full graphify overview →

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 graphify or Agent-Reach more popular?

graphify has 141,064 GitHub stars and Agent-Reach has 108,014. graphify has the larger community by that measure.

Are graphify and Agent-Reach free?

Both are open source. graphify is licensed under Apache-2.0 and Agent-Reach under MIT. Neither carries a licence fee.

What is the difference between graphify and Agent-Reach?

graphify 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, graphify or Agent-Reach?

Choose graphify if you want the larger community (141,064 stars) or its Apache-2.0 licence terms. Choose Agent-Reach if its feature set, stack or MIT licence fits better. Both are self-hostable.