head to head · open source
Agent-Reach vs guizang-social-card-skill
Agent-Reach has 108,014 GitHub stars, 9,640 forks, 137 open issues and last shipped 2 days ago. guizang-social-card-skill has 7,929 stars, 609 forks, 12 open issues and last shipped 4 days ago. Agent-Reach leads on adoption by 1,262% (108,014 vs 7,929 stars). Agent-Reach is written in Python under MIT; guizang-social-card-skill is written in HTML under AGPL-3.0. Agent-Reach has attracted 9% as many forks as stars, guizang-social-card-skill 8%. Agent-Reach was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agent, 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
| Agent-Reach | guizang-social-card-skill | |
|---|---|---|
| GitHub stars | ★ 108K | ★ 7.9K |
| License | MIT | AGPL-3.0 |
| Written in | Python | HTML |
| Last push | 2026-11-01 | 2026-10-30 |
| Forks | ⑂ 9.6K | ⑂ 609 |
| 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 guizang-social-card-skill if
- You want the guizang-social-card-skill feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches HTML
- You evaluated both and guizang-social-card-skill 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 guizang-social-card-skill
Guizang Social Card Skill · 小红书图文 / 公众号封面对 English README 一个适配 Claude Code / Codex 等 Agent 环境的图文卡片技能,用于从文章、文案、截图、产品笔记、字幕、照片或用户视频生成 小红书 / Rednote 图文组图 、 Live Photo 动态卡 与 公众号 21:9 + 1:1 封面对 。 内置两套视觉系统,共用一份图文工作流: 电子杂志风(Editorial) 。像 Monocle / Kinfolk / Cereal 那样克制的版面,适合叙事、生活方式、旅行、阅读、影视、个人观察。 瑞士国际主义(Swiss) 。网格、单一锚点色、直角发丝线、极致字号对比,适合产品测评、数据、方法论、教程、AI 工具。 这个 Skill 是 guizang ppt skill 的姊妹项目,共享美学语言但独立维护。PPT 解决"横向翻页演讲",这里解决"静态信息流图文"。 30 秒开始 也可以直接把这段话发给有 shell 权限的 AI Agent: 已经安装过的话,用这段话更新: 安装后直接对 Agent 说: 也可以试这些请求: 效果 🖋 双视觉系统 :电子杂志风做氛围与叙事,瑞士风做事实与结构,两套共用同一份工作流 📐 3 个画板尺寸 : .poster.xhs 1080×1440(小红书 3:4)、 .poster.wide…
read the full guizang-social-card-skill overview →
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Frequently asked questions
Is Agent-Reach or guizang-social-card-skill more popular?
Agent-Reach has 108,014 GitHub stars and guizang-social-card-skill has 7,929. Agent-Reach has the larger community by that measure.
Are Agent-Reach and guizang-social-card-skill free?
Both are open source. Agent-Reach is licensed under MIT and guizang-social-card-skill under AGPL-3.0. Neither carries a licence fee.
What is the difference between Agent-Reach and guizang-social-card-skill?
Agent-Reach is written in Python and guizang-social-card-skill in HTML. 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 guizang-social-card-skill?
Choose Agent-Reach if you want the larger community (108,014 stars) or its MIT licence terms. Choose guizang-social-card-skill if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.