head to head · open source
Agent-Reach vs Mem0
Agent-Reach has 108,014 GitHub stars, 9,640 forks, 137 open issues and last shipped 2 days ago. Mem0 has 68,288 stars, 8,104 forks, 742 open issues and last shipped 4 days ago. Agent-Reach leads on adoption by 58% (108,014 vs 68,288 stars). Agent-Reach is written in Python under MIT; Mem0 is written in Python under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, Mem0 12%. 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 (python), 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
| Agent-Reach | Mem0 | |
|---|---|---|
| GitHub stars | ★ 108K | ★ 68K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-01 | 2026-10-30 |
| Forks | ⑂ 9.6K | ⑂ 8.1K |
| 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
pick Mem0 if
- You want the Mem0 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 Mem0 fits your workflow better
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 Mem0
Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…
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Frequently asked questions
Is Agent-Reach or Mem0 more popular?
Agent-Reach has 108,014 GitHub stars and Mem0 has 68,288. Agent-Reach has the larger community by that measure.
Are Agent-Reach and Mem0 free?
Both are open source. Agent-Reach is licensed under MIT and Mem0 under Apache-2.0. Neither carries a licence fee.
What is the difference between Agent-Reach and Mem0?
Agent-Reach is written in Python and Mem0 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 Mem0?
Choose Agent-Reach if you want the larger community (108,014 stars) or its MIT licence terms. Choose Mem0 if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.