head to head · open source

AnythingLLM vs koishi

AnythingLLM has 67,862 GitHub stars, 7,658 forks, 311 open issues and last shipped 4 days ago. koishi has 6,311 stars, 360 forks, 107 open issues and last shipped 26 days ago. AnythingLLM leads on adoption by 975% (67,862 vs 6,311 stars). AnythingLLM is written in JavaScript under MIT; koishi is written in TypeScript under MIT. AnythingLLM has attracted 11% as many forks as stars, koishi 6%. AnythingLLM 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.

AnythingLLM ★ 68K koishi ★ 6.3K category AI & Machine Learning

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Side by side

AnythingLLM koishi
GitHub stars ★ 68K ★ 6.3K
License MIT MIT
Written in JavaScript TypeScript
Last push 2026-10-30 2026-10-08
Forks ⑂ 7.7K ⑂ 360
Self-hosting Yes Yes
Data ownership Your server Your server

pick AnythingLLM if

  • You weight community size — 68K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full AnythingLLM profile →

pick koishi if

  • You want the koishi feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and koishi fits your workflow better

full koishi profile →

About AnythingLLM

[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…

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About koishi

Koishi Koishi 是一个跨平台、可扩展、高性能的聊天机器人框架。 它的名字和图标设计来源于来源于东方 Project 中的角色古明地恋 (Komeiji Koishi)。古明地恋是一个会做出无意识举动的角色,取这个名字既象征着聊天机器人的主题,也蕴含了开发者为之倾注的热爱。 特性 开箱即用 Koishi 提供了高度便利的控制台,让你无需基础让你在几分钟之内搭建自己的聊天机器人。 提供在线插件市场,即使没有任何编程基础,也能轻松在控制台中下载安装插件 支持 QQ,Telegram,Discord,飞书等主流聊天平台,支持多账户和跨平台数据互通 随时随地通过控制面板监控运行状态,控制机器人的行为,甚至上号聊天 生态丰富 经过了长达四年的迭代,Koishi 已经发展出了丰富的插件生态和与之匹配的健壮系统。超过 3000 个官方和社区插件覆盖了机器人开发的方方面面,从平台支持、数据库、资源存储、网页控制台、状态管理到具体的业务功能一应俱全。无论你的目标是构建大型交互应用还是轻量级的辅助机器人,Koishi 都为你提供了最佳实践。如果担心在复杂的功能中迷失方向,我们也准备了细致的文档来提供帮助。 专为开发者打造 Koishi 更为开发者准备了众多专业功能,使插件开发者得以在各种复杂需求中构建规模化的解决方案。 类型支持:Koishi 完全基于 TypeScript

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Frequently asked questions

Is AnythingLLM or koishi more popular?

AnythingLLM has 67,862 GitHub stars and koishi has 6,311. AnythingLLM has the larger community by that measure.

Are AnythingLLM and koishi free?

Both are open source. AnythingLLM is licensed under MIT and koishi under MIT. Neither carries a licence fee.

What is the difference between AnythingLLM and koishi?

AnythingLLM is written in JavaScript and koishi in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, AnythingLLM or koishi?

Choose AnythingLLM if you want the larger community (67,862 stars) or its MIT licence terms. Choose koishi if its feature set, stack or MIT licence fits better. Both are self-hostable.