head to head · open source
PandaWiki vs llm-wiki-agent
PandaWiki has 10,458 GitHub stars, 1,042 forks, 324 open issues and last shipped 14 days ago. llm-wiki-agent has 3,671 stars, 426 forks, 4 open issues and last shipped 2 days ago. PandaWiki leads on adoption by 185% (10,458 vs 3,671 stars). PandaWiki is written in TypeScript under AGPL-3.0; llm-wiki-agent is written in Python under MIT. PandaWiki has attracted 10% as many forks as stars, llm-wiki-agent 12%. llm-wiki-agent 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 | llm-wiki-agent | |
|---|---|---|
| GitHub stars | ★ 10K | ★ 3.7K |
| License | AGPL-3.0 | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-10-21 | 2026-11-02 |
| Forks | ⑂ 1.0K | ⑂ 426 |
| 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 llm-wiki-agent if
- You want the llm-wiki-agent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and llm-wiki-agent 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 llm-wiki-agent
LLM Wiki Agent A coding agent skill. Drop source documents into raw/ and tell the agent to ingest them — it reads them, extracts knowledge, and builds a persistent interlinked wiki. Every new source makes the wiki richer. You never write it. Most knowledge tools make you search your own notes. This one reads everything you've collected and writes a structured wiki that compounds over time — cross references already built, contradictions already flagged, synthesis already done. Related Projects Open Generative AI — Add AI image & video generation to your knowledge base pipeline Open AI Design Agent — Autonomous…
read the full llm-wiki-agent overview →
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Frequently asked questions
Is PandaWiki or llm-wiki-agent more popular?
PandaWiki has 10,458 GitHub stars and llm-wiki-agent has 3,671. PandaWiki has the larger community by that measure.
Are PandaWiki and llm-wiki-agent free?
Both are open source. PandaWiki is licensed under AGPL-3.0 and llm-wiki-agent under MIT. Neither carries a licence fee.
What is the difference between PandaWiki and llm-wiki-agent?
PandaWiki is written in TypeScript and llm-wiki-agent 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 llm-wiki-agent?
Choose PandaWiki if you want the larger community (10,458 stars) or its AGPL-3.0 licence terms. Choose llm-wiki-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.