head to head · open source
PandaWiki vs llmwiki
PandaWiki has 10,458 GitHub stars, 1,042 forks, 324 open issues and last shipped 15 days ago. llmwiki has 1,750 stars, 246 forks, 28 open issues and last shipped 5 days ago. PandaWiki leads on adoption by 498% (10,458 vs 1,750 stars). PandaWiki is written in TypeScript under AGPL-3.0; llmwiki is written in Python under Apache-2.0. PandaWiki has attracted 10% as many forks as stars, llmwiki 14%. llmwiki was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| PandaWiki | llmwiki | |
|---|---|---|
| GitHub stars | ★ 10K | ★ 1.8K |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-10-21 | 2026-10-31 |
| Forks | ⑂ 1.0K | ⑂ 246 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PandaWiki if
- You weight community size — 10K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick llmwiki if
- You want the llmwiki 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 llmwiki fits your workflow better
About PandaWiki
📖 官方网站 🙋♂️ 微信交流群 👋 项目介绍 PandaWiki 是一款 AI 大模型驱动的 开源知识库搭建系统 ，帮助你快速构建智能化的 产品文档、技术文档、FAQ、博客系统 ，借助大模型的力量为你提供 AI 创作、AI 问答、AI 搜索 等能力。 ⚡️ 界面展示 🔥 功能与特色 AI 驱动智能化：AI 辅助创作、AI 辅助问答、AI 辅助搜索。 强大的富文本编辑能力：兼容 Markdown 和 HTML，支持导出为 word、pdf、markdown 等多种格式。 轻松与第三方应用进行集成：支持做成网页挂件挂在其他网站上，支持做成钉钉、飞书、企业微信等聊天机器人。 通过第三方来源导入内容：根据网页 URL 导入、通过网站 Sitemap 导入、通过 RSS 订阅、通过离线文件导入等。 🚀 上手指南 安装 PandaWiki 你需要一台支持 Docker 20.x 以上版本的 Linux 系统来安装 PandaWiki。 使用 root 权限登录你的服务器，然后执行以下命令。 根据命令提示的选项进行安装，命令执行过程将会持续几分钟，请耐心等待。 关于安装与部署的更多细节请参考 安装 PandaWiki。 登录 PandaWiki 在上一步中，安装命令执行结束后，你的终端会输出以下内容。 使用浏览器打开上述内容中的 “访问地址”，你将看到 PandaWiki 的控制台登录入口，使用上述内容中的 “用户名”…
read the full PandaWiki overview →
About llmwiki
LLM Wiki An autonomous, self maintaining personal Wikipedia built and maintained by AI. LLM Wiki transforms your scattered reading and research into a persistent, AI maintained second brain. Capture documents, notes, and web clippings as you work, and deploy a nightly Claude Routine to autonomously synthesize those sources into a permanent knowledge base. Because the clipper captures your highlights and margin notes alongside the source, the wiki becomes a record of not just what you read but what you thought about it — one that compounds over months and years, long after the original context would have faded…
read the full llmwiki overview →
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Frequently asked questions
Is PandaWiki or llmwiki more popular?
PandaWiki has 10,458 GitHub stars and llmwiki has 1,750. PandaWiki has the larger community by that measure.
Are PandaWiki and llmwiki free?
Both are open source. PandaWiki is licensed under AGPL-3.0 and llmwiki under Apache-2.0. Neither carries a licence fee.
What is the difference between PandaWiki and llmwiki?
PandaWiki is written in TypeScript and llmwiki 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, PandaWiki or llmwiki?
Choose PandaWiki if you want the larger community (10,458 stars) or its AGPL-3.0 licence terms. Choose llmwiki if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.