head to head · open source
ponytail vs Agent-Reach
ponytail has 182,779 GitHub stars, 10,094 forks, 270 open issues and last shipped 5 days ago. Agent-Reach has 108,014 stars, 9,640 forks, 137 open issues and last shipped 2 days ago. ponytail leads on adoption by 69% (182,779 vs 108,014 stars). ponytail is written in JavaScript under MIT; Agent-Reach is written in Python under MIT. ponytail has attracted 6% as many forks as stars, Agent-Reach 9%. Agent-Reach was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (claude-code), 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
| ponytail | Agent-Reach | |
|---|---|---|
| GitHub stars | ★ 183K | ★ 108K |
| License | MIT | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-10-29 | 2026-11-01 |
| Forks | ⑂ 10K | ⑂ 9.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ponytail if
- You weight community size — 183K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- 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 ponytail
Ponytail He says nothing. He writes one line. It works. 54% less code (up to 94%) · 20% cheaper · 27% faster · 100% safe Measured on real Claude Code sessions editing a real open source repo (FastAPI + React), against the same agent with no skill. 54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agent over builds (a date picker) and is near zero where the code is already minimal. ponytail keeps every safety guard while a bare "write one liners" prompt drops one. (The earlier single shot benchmark reported 80 94% as a flat figure; against a fair agentic…
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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 ponytail or Agent-Reach more popular?
ponytail has 182,779 GitHub stars and Agent-Reach has 108,014. ponytail has the larger community by that measure.
Are ponytail and Agent-Reach free?
Both are open source. ponytail is licensed under MIT and Agent-Reach under MIT. Neither carries a licence fee.
What is the difference between ponytail and Agent-Reach?
ponytail is written in JavaScript 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, ponytail or Agent-Reach?
Choose ponytail if you want the larger community (182,779 stars) or its MIT licence terms. Choose Agent-Reach if its feature set, stack or MIT licence fits better. Both are self-hostable.