📦 Mintplex-Labs/anything-llm：告别租用智能，用 AnythingLLM 拥有它——强大的本地优先 Agent 体验

注意

我们还在开发 Open Computer，它为 AI 代理提供完整的计算机环境。

这将把 AnythingLLM 的代理能力提升到新高度，带来全新的 AI 代理使用体验范式。

⭐ 给仓库加星，保持更新！

AnythingLLM：你一直在找的一体化 AI 应用。
与文档对话，使用 AI 代理，高度可配置，多用户支持，无需繁琐设置。

| | Docs | Hosted Instance

English · 简体中文 · 日本語

👉 AnythingLLM 桌面版（Mac、Windows 和 Linux）！立刻下载

与文档对话，用 AI 代理自动化复杂工作流。高度可配置、多用户就绪、久经考验——默认本地运行，零设置摩擦。

Watch the demo!

AnythingLLM 是一体化的 AI 应用，让你无需妥协地构建私密的、功能齐全的 ChatGPT。连接你喜欢本地或云端 LLM，导入文档，几分钟内开始聊天。开箱即得内置代理、多用户支持、向量数据库和文档管道——无需额外配置。

AnythingLLM 还支持多用户，可以按用户控制访问和体验，同时不损害实例的安全性或你的知识产权隐私。

AnythingLLM 的酷炫特性

支持的 LLM、嵌入模型、语音模型和向量数据库

大语言模型（LLMs）：

嵌入模型：

音频转录模型：

TTS（文本转语音）支持：

STT（语音转文本）支持：

• 浏览器原生内置（默认）

向量数据库：

这个单一仓库由六个主要部分组成：

• frontend：基于 ViteJS + React 的前端，可轻松创建并管理 LLM 能使用的所有内容。
• server：NodeJS Express 服务端，处理所有交互及向量数据库管理和 LLM 交互。
• collector：NodeJS Express 服务端，从 UI 处理并解析文档。
• docker：Docker 指令和构建流程，以及从源码构建的信息。
• embed：用于生成与创建网页嵌入小部件的子模块。
• browser-extension：用于 Chrome 浏览器扩展的子模块。

Mintplex Labs 与社区维护了多种部署方式、脚本和模板，让你在本地运行 AnythingLLM。参考下表，了解如何在你的首选环境部署或自动部署。

Docker	AWS	GCP	Digital Ocean	Render.com
Railway	RepoCloud	Elestio	Northflank
---	---	---	---

或者搭建一个无需 Docker 的生产级 AnythingLLM 实例 →

开发环境搭建

• yarn setup：填入每个应用部分所需的 .env 文件（从仓库根目录执行）。
  • 在继续前请填写好。确保 server/.env.development 已填写，否则无法正常工作。
• yarn dev:server：本地启动服务端（从仓库根目录执行）。
• yarn dev:frontend：本地启动前端（从仓库根目录执行）。
• yarn dev:collector：然后运行文档采集器（从仓库根目录执行）。

了解文档

Mintplex Labs Inc 的 AnythingLLM 包含遥测功能，用于收集匿名使用信息。

More about Telemetry & Privacy for AnythingLLM

我们利用这些信息了解 AnythingLLM 的使用情况，以便优先处理新功能与缺陷修复，并改进 AnythingLLM 的性能与稳定性。

在服务器或 Docker 的 .env 设置中将 DISABLE_TELEMETRY 设为 "true" 即可退出遥测。你也可以在应用内通过侧边栏 > Privacy 禁用遥测。

我们到底追踪什么？

我们只追踪有助于产品与路线图决策的使用细节，具体为：

• 你的安装类型（Docker 或桌面版）
• 文档添加或移除的事件。不包含文档的_任何_信息，仅记录事件发生。这让我们了解使用量。
• 使用的向量数据库类型。帮助我们在该供应商有更新时优先处理相关变更。
• 使用的 LLM 供应商及模型标签。帮助我们在该供应商或模型（或组合）有更新时优先安排工作，例如推理型与常规模型、多模态模型等。
• 聊天发送事件。这是最常规的“事件”，让我们了解所有安装的每日活跃度。重申，只发送事件——我们完全不知道聊天的性质或内容。

你可以通过搜索所有调用 Telemetry.sendTelemetry 的位置来验证上述声明。此外，这些事件会被写入输出日志，若启用则可看到实际发送的数据。不收集 IP 或其他身份信息。遥测提供商为 PostHog——一项开源的遥测收集服务。

我们非常重视隐私，希望你理解，我们希望在不用烦人弹窗问卷的前提下，了解工具的使用方式，从而打造值得用的产品。匿名数据_从不_与第三方共享。

在源代码中查看所有遥测事件

其他出站连接

即使禁用遥测，仍会看到与以下服务的出站连接：

• 若使用外部工具、LLM、嵌入模型或向量数据库，仍会与对应服务提供商建立出站连接。
• cdn.anythingllm.com：从我们的镜像 CDN 拉取模型，此连接不受遥测追踪，对 VPN 受限地区的用户尤其有用。
• github/githubusercontent.com：一些用于上下文窗口缓存的固定文件会从这些域下载。

简单来说，若禁用遥测，我们不会收集任何信息。然而，根据你的设置，仍可能看到出站连接，并受相应服务商的条款约束。

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, battle-tested—and runs locally by default with zero setup friction.

Watch the demo!

AnythingLLM is the all-in-one AI application that lets you build a private, fully-featured ChatGPT—without compromises. Connect your favorite local or cloud LLM, ingest your documents, and start chatting in minutes. Out of the box you get built-in agents, multi-user support, vector databases, and document pipelines — no extra configuration required.

AnythingLLM supports multiple users as well where you can control the access and experience per user without compromising the security or privacy of the instance or your intellectual property.

Cool Features of AnythingLLM

Supported LLMs, Embedder Models, Speech models, and Vector Databases

Large Language Models (LLMs):

Embedder models:

Audio Transcription models:

TTS (text-to-speech) support:

STT (speech-to-text) support:

• Native Browser Built-in (default)

Vector Databases:

This monorepo consists of six main sections:

• frontend: A viteJS + React frontend that you can run to easily create and manage all your content the LLM can use.
• server: A NodeJS express server to handle all the interactions and do all the vectorDB management and LLM interactions.
• collector: NodeJS express server that processes and parses documents from the UI.
• docker: Docker instructions and build process + information for building from source.
• embed: Submodule for generation & creation of the web embed widget.
• browser-extension: Submodule for the chrome browser extension.

Mintplex Labs & the community maintain a number of deployment methods, scripts, and templates that you can use to run AnythingLLM locally. Refer to the table below to read how to deploy on your preferred environment or to automatically deploy.

Docker	AWS	GCP	Digital Ocean	Render.com
Railway	RepoCloud	Elestio	Northflank
---	---	---	---

or set up a production AnythingLLM instance without Docker →

How to setup for development

• yarn setup To fill in the required .env files you'll need in each of the application sections (from root of repo).
  • Go fill those out before proceeding. Ensure server/.env.development is filled or else things won't work right.
• yarn dev:server To boot the server locally (from root of repo).
• yarn dev:frontend To boot the frontend locally (from root of repo).
• yarn dev:collector To then run the document collector (from root of repo).

Learn about documents

AnythingLLM by Mintplex Labs Inc contains a telemetry feature that collects anonymous usage information.

More about Telemetry & Privacy for AnythingLLM

We use this information to help us understand how AnythingLLM is used, to help us prioritize work on new features and bug fixes, and to help us improve AnythingLLM's performance and stability.

Set DISABLE_TELEMETRY in your server or docker .env settings to "true" to opt out of telemetry. You can also do this in-app by going to the sidebar > Privacy and disabling telemetry.

What do you explicitly track?

We will only track usage details that help us make product and roadmap decisions, specifically:

• Type of your installation (Docker or Desktop)

• When a document is added or removed. No information about the document. Just that the event occurred. This gives us an idea of use.

• Type of vector database in use. This helps us prioritize changes when updates arrive for that provider.

• Type of LLM provider & model tag in use. This helps us prioritize changes when updates arrive for that provider or model, or combination thereof. eg: reasoning vs regular, multi-modal models, etc.

• When a chat is sent. This is the most regular "event" and gives us an idea of the daily-activity of this project across all installations. Again, only the event is sent - we have no information on the nature or content of the chat itself.

You can verify these claims by finding all locations Telemetry.sendTelemetry is called. Additionally these events are written to the output log so you can also see the specific data which was sent - if enabled. No IP or other identifying information is collected. The Telemetry provider is PostHog - an open-source telemetry collection service.

We take privacy very seriously, and we hope you understand that we want to learn how our tool is used, without using annoying popup surveys, so we can build something worth using. The anonymous data is never shared with third parties, ever.

[View all telemetry events in source code](https://github.com/search?q=repo%3AMintplex-Labs%2Fanything-llm%20.sendTelemetry(&type=code)

Other outbound connections

If you disable telemetry, you would still see outbound connections to the following services:

• If using an external tool, LLM, Embedding models, or Vector databases, you will still see outbound connections to the respective service provider.
• cdn.anythingllm.com for pulling models from our mirror CDN. This is not tracked by telemetry and is actually useful for those in VPN restricted regions.
• github/githubusercontent.com There are some various flat files that are downloaded from these domains for context window caching.

Basically, if telemetry is disabled we don't collect anything. However, depending on your setup you may still see outbound connections and would be subject to the terms of service of the respective service provider.

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Copyright © 2026 Mintplex Labs.
This project is MIT licensed.