head to head · open source

Agent-Reach vs pezzo

Agent-Reach has 108,502 GitHub stars, 9,679 forks, 137 open issues and last shipped 4 days ago. pezzo has 3,278 stars, 280 forks, 54 open issues and last shipped 3 months ago. Agent-Reach leads on adoption by 3,210% (108,502 vs 3,278 stars). Agent-Reach is written in Python under MIT; pezzo is written in TypeScript under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, pezzo 9%. Agent-Reach was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 ★ 109K pezzo ★ 3.3K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Agent-Reach pezzo
GitHub stars ★ 109K ★ 3.3K
License MIT Apache-2.0
Written in Python TypeScript
Last push 2026-11-01 2026-08-21
Forks ⑂ 9.7K ⑂ 280
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 109K 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 pezzo if

  • You want the pezzo feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and pezzo fits your workflow better

full pezzo 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 pezzo

Pezzo is a fully cloud native and open source LLMOps platform. Seamlessly observe and monitor your AI operations, troubleshoot issues, save up to 90% on costs and latency, collaborate and manage your prompts in one place, and instantly deliver AI changes. ✨ Features Documentation Click here to navigate to the Official Pezzo Documentation In the documentation, you can find information on how to use Pezzo, its architecture, including tutorials and recipes for varius use cases and LLM providers. Supported Clients Feature Node.js • Docs Python • Docs LangChain Prompt Management ✅ ✅ ✅ Observability ✅ ✅ ✅ Caching ✅ ✅…

read the full pezzo overview →

More in AI & Machine Learning

Related comparisons

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Frequently asked questions

Is Agent-Reach or pezzo more popular?

Agent-Reach has 108,502 GitHub stars and pezzo has 3,278. Agent-Reach has the larger community by that measure.

Are Agent-Reach and pezzo free?

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

What is the difference between Agent-Reach and pezzo?

Agent-Reach is written in Python and pezzo in TypeScript. 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 pezzo?

Choose Agent-Reach if you want the larger community (108,502 stars) or its MIT licence terms. Choose pezzo if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.