head to head · open source

Agent-Reach vs Codewhale

Agent-Reach has 108,014 GitHub stars, 9,640 forks, 137 open issues and last shipped 2 days ago. Codewhale has 41,167 stars, 3,571 forks, 110 open issues and last shipped yesterday. Agent-Reach leads on adoption by 162% (108,014 vs 41,167 stars). Agent-Reach is written in Python under MIT; Codewhale is written in Rust under MIT. Agent-Reach has attracted 9% as many forks as stars, Codewhale 9%. Codewhale was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agent, cli, mcp), 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.

Agent-Reach ★ 108K Codewhale ★ 41K category AI & Machine Learning

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Side by side

Agent-Reach Codewhale
GitHub stars ★ 108K ★ 41K
License MIT MIT
Written in Python Rust
Last push 2026-11-01 2026-11-02
Forks ⑂ 9.6K ⑂ 3.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 108K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Agent-Reach profile →

pick Codewhale if

  • You want the Codewhale feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Rust
  • You evaluated both and Codewhale fits your workflow better

full Codewhale profile →

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 →

About Codewhale

Codewhale Codewhale is an open source agent that reads your project, edits files, runs commands, and checks its work using a hosted or local model you choose. Start with one task in your terminal. For a larger job, give parts of the work to agents with different models and roles. 简体中文 · 日本語 · Tiếng Việt · Bahasa Indonesia · 한국어 · Español · Português · Русский · Українська · Français · Deutsch · 繁體中文 · हिन्दी · Türkçe · Italiano · Polski · العربية · Català Terminal preview from a v0.9.12 development build. Install macOS / Linux — install the official GitHub release: The installer selects the latest published…

read the full Codewhale overview →

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Frequently asked questions

Is Agent-Reach or Codewhale more popular?

Agent-Reach has 108,014 GitHub stars and Codewhale has 41,167. Agent-Reach has the larger community by that measure.

Are Agent-Reach and Codewhale free?

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

What is the difference between Agent-Reach and Codewhale?

Agent-Reach is written in Python and Codewhale in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Agent-Reach or Codewhale?

Choose Agent-Reach if you want the larger community (108,014 stars) or its MIT licence terms. Choose Codewhale if its feature set, stack or MIT licence fits better. Both are self-hostable.