head to head · open source

Agent-Reach vs opik

Agent-Reach has 108,502 GitHub stars, 9,679 forks, 137 open issues and last shipped 4 days ago. opik has 23,157 stars, 1,924 forks, 258 open issues and last shipped yesterday. Agent-Reach leads on adoption by 369% (108,502 vs 23,157 stars). Agent-Reach is written in Python under MIT; opik is written in Python under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, opik 8%. opik 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 opik ★ 23K category AI & Machine Learning

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Side by side

Agent-Reach opik
GitHub stars ★ 109K ★ 23K
License MIT Apache-2.0
Written in Python Python
Last push 2026-11-01 2026-11-04
Forks ⑂ 9.7K ⑂ 1.9K
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 opik if

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

full opik 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 opik

English 简体中文 Español Français Deutsch 日本語 Opik: Open Source LLM Observability, Evaluation & AI Agent Tracing Opik is the open source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet . Apache 2.0 licensed, free to self host the full platform, with 20,000+ GitHub stars. Website • Slack Community • Twitter • Changelog • Documentation Last updated: 2026 07 17 🚀 What is Opik? • ⚡ Quick Start • 📊 How Does Opik Compare? • ❓ FAQ • 🛠️ Opik Server Installation • 💻 Opik Client SDK • 📝 Logging Traces 🧑‍⚖️ LLM as a Judge • 🔍…

read the full opik overview →

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Frequently asked questions

Is Agent-Reach or opik more popular?

Agent-Reach has 108,502 GitHub stars and opik has 23,157. Agent-Reach has the larger community by that measure.

Are Agent-Reach and opik free?

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

What is the difference between Agent-Reach and opik?

Agent-Reach is written in Python and opik 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, Agent-Reach or opik?

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