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anything-llm

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The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.

MCP Servers59.1k estrellas6.4k forksJavaScriptMITActualizado 2d ago
ClaudeWave Trust Score
93/100
Verified

App all-in-one para chatear con documentos y ejecutar agentes con múltiples LLMs, on-device first.

Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
OK to use
Last scanned: 4/14/2026
Install in Claude Desktop
Method detected: Manual
{
  "mcpServers": {
    "anything-llm": {
      "command": "node",
      "args": ["/path/to/anything-llm/dist/index.js"]
    }
  }
}
1. Copy the snippet above.
2. Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
3. Replace any <placeholder> values with your API keys or paths.
4. Restart Claude Desktop. The MCP server appears automatically.
💡 Clone https://github.com/Mintplex-Labs/anything-llm and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

<a name="readme-top"></a>

<p align="center">
  <a href="https://anythingllm.com"><img src="https://github.com/Mintplex-Labs/anything-llm/blob/master/images/wordmark.png?raw=true" alt="AnythingLLM logo"></a>
</p>

<div align='center'>
<a href="https://trendshift.io/repositories/2415" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2415" alt="Mintplex-Labs%2Fanything-llm | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>

<p align="center">
    <b>AnythingLLM:</b> The all-in-one AI app you were looking for.<br />
    Chat with your docs, use AI Agents, hyper-configurable, multi-user, & no frustrating setup required.
</p>

<p align="center">
  <a href="https://discord.gg/6UyHPeGZAC" target="_blank">
      <img src="https://img.shields.io/badge/chat-mintplex_labs-blue.svg?style=flat&logo=data:image/png;base64,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" alt="Discord">
  </a> |
  <a href="https://github.com/Mintplex-Labs/anything-llm/blob/master/LICENSE" target="_blank">
      <img src="https://img.shields.io/static/v1?label=license&message=MIT&color=white" alt="License">
  </a> |
  <a href="https://docs.anythingllm.com" target="_blank">
    Docs
  </a> |
   <a href="https://my.mintplexlabs.com/aio-checkout?product=anythingllm" target="_blank">
    Hosted Instance
  </a>
</p>

<p align="center">
  <b>English</b> · <a href='./locales/README.zh-CN.md'>简体中文</a> · <a href='./locales/README.ja-JP.md'>日本語</a>
</p>

<p align="center">
👉 AnythingLLM for desktop (Mac, Windows, & Linux)! <a href="https://anythingllm.com/download" target="_blank"> Download Now</a>
</p>

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.

![Chatting](https://github.com/Mintplex-Labs/anything-llm/releases/download/v1.11.2/AnythingLLM720p.gif)

<details>
<summary><kbd>Watch the demo!</kbd></summary>

[![Watch the video](/images/youtube.png)](https://youtu.be/f95rGD9trL0)

</details>

### Product Overview

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

- [Intelligent Skill Selection](https://docs.anythingllm.com/agent/intelligent-tool-selection) Enable **unlimited** tools for your models while reducing token usage by up to 80% per query
- [**No-code AI Agent builder**](https://docs.anythingllm.com/agent-flows/overview)
- [**Full MCP-compatibility**](https://docs.anythingllm.com/mcp-compatibility/overview)
- **Multi-modal support (both closed and open-source LLMs!)**
- [**Custom AI Agents**](https://docs.anythingllm.com/agent/custom/introduction)
- 👤 Multi-user instance support and permissioning _Docker version only_
- 🦾 Agents inside your workspace (browse the web, etc)
- 💬 [Custom Embeddable Chat widget for your website](https://github.com/Mintplex-Labs/anythingllm-embed/blob/main/README.md) _Docker version only_
- 📖 Multiple document type support (PDF, TXT, DOCX, etc)
- Intuitive chat UI with drag-and-drop uploads and source citations.
- Production-ready for any cloud deployment.
- Works with all popular [closed and open-source LLM providers](#supported-llms-embedder-models-speech-models-and-vector-databases).
- Built-in optimizations for large document sets—lower costs and faster responses than other chat UIs.
- Full Developer API for custom integrations!
- ...and much more—install in minutes and see for yourself.

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

**Large Language Models (LLMs):**

- [Any open-source llama.cpp compatible model](/server/storage/models/README.md#text-generation-llm-selection)
- [OpenAI](https://openai.com)
- [OpenAI (Generic)](https://openai.com)
- [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service)
- [AWS Bedrock](https://aws.amazon.com/bedrock/)
- [Anthropic](https://www.anthropic.com/)
- [NVIDIA NIM (chat models)](https://build.nvidia.com/explore/discover)
- [Google Gemini Pro](https://ai.google.dev/)
- [Hugging Face (chat models)](https://huggingface.co/)
- [Ollama (chat models)](https://ollama.ai/)
- [LM Studio (all models)](https://lmstudio.ai)
- [LocalAI (all models)](https://localai.io/)
- [Together AI (chat models)](https://www.together.ai/)
- [Fireworks AI (chat models)](https://fireworks.ai/)
- [Perplexity (chat models)](https://www.perplexity.ai/)
- [OpenRouter (chat models)](https://openrouter.ai/)
- [DeepSeek (chat models)](https://deepseek.com/)
- [Mistral](https://mistral.ai/)
- [Groq](https://groq.com/)
- [Cohere](https://cohere.com/)
- [KoboldCPP](https://github.com/LostRuins/koboldcpp)
- [LiteLLM](https://github.com/BerriAI/litellm)
- [Text Generation Web UI](https://github.com/oobabooga/text-generation-webui)
- [Apipie](https://apipie.ai/)
- [xAI](https://x.ai/)
- [Z.AI (chat models)](https://z.ai/model-api)
- [Novita AI (chat models)](https://novita.ai/model-api/product/llm-api?utm_source=github_anything-llm&utm_medium=github_readme&utm_campaign=link)
- [PPIO](https://ppinfra.com?utm_source=github_anything-llm)
- [Gitee AI](https://ai.gitee.com/)
- [Moonshot AI](https://www.moonshot.ai/)
- [Microsoft Foundry Local](https://github.com/microsoft/Foundry-Local)
- [CometAPI (chat models)](https://api.cometapi.com/)
- [Docker Model Runner](https://docs.docker.com/ai/model-runner/)
- [PrivateModeAI (chat models)](https://privatemode.ai/)
- [SambaNova Cloud (chat models)](https://cloud.sambanova.ai/)
- [Lemonade by AMD](https://lemonade-server.ai)

**Embedder models:**

- [AnythingLLM Native Embedder](/server/storage/models/README.md) (default)
- [OpenAI](https://openai.com)
- [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service)
- [LocalAI (all)](https://localai.io/)
- [Ollama (all)](https://ollama.ai/)
- [LM Studio (all)](https://lmstudio.ai)
- [Cohere](https://cohere.com/)

**Audio Transcription models:**

- [AnythingLLM Built-in](https://github.com/Mintplex-Labs/anything-llm/tree/master/server/storage/models#audiovideo-transcription) (default)
- [OpenAI](https://openai.com/)

**TTS (text-to-speech) support:**

- Native Browser Built-in (default)
- [PiperTTSLocal - runs in browser](https://github.com/rhasspy/piper)
- [OpenAI TTS](https://platform.openai.com/docs/guides/text-to-speech/voice-options)
- [ElevenLabs](https://elevenlabs.io/)
- Any OpenAI Compatible TTS service.

**STT (speech-to-text) support:**

- Native Browser Built-in (default)

**Vector Databases:**

- [LanceDB](https://github.com/lancedb/lancedb) (default)
- [PGVector](https://github.com/pgvector/pgvector)
- [Astra DB](https://www.datastax.com/products/datastax-astra)
- [Pinecone](https://pinecone.io)
- [Chroma & ChromaCloud](https://trychroma.com)
- [Weaviate](https://weaviate.io)
- [Qdrant](https://qdrant.tech)
- [Milvus](https://milvus.io)
- [Zilliz](https://zilliz.com)

### Technical Overview

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](https://github.com/Mintplex-Labs/anythingllm-embed).
- `browser-extension`: Submodule for the [chrome browser extension](https://github.com/Mintplex-Labs/anythingllm-extension).

## 🛳 Self-Hosting

Mintplex Labs & the community maintain a number of dep
ai-agentscustom-ai-agentsdeepseekkimillama3llmlmstudiolocal-llmlocalaimcpmcp-serversmoonshotmultimodalno-codeollamaqwen3ragvector-databaseweb-scraping

Lo que la gente pregunta sobre anything-llm

¿Qué es Mintplex-Labs/anything-llm?

+

Mintplex-Labs/anything-llm es mcp servers para el ecosistema de Claude AI. The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration. Tiene 59.1k estrellas en GitHub y se actualizó por última vez 2d ago.

¿Cómo se instala anything-llm?

+

Puedes instalar anything-llm clonando el repositorio (https://github.com/Mintplex-Labs/anything-llm) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar Mintplex-Labs/anything-llm?

+

Nuestro agente de seguridad ha analizado Mintplex-Labs/anything-llm y le ha asignado un Trust Score de 93/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene Mintplex-Labs/anything-llm?

+

Mintplex-Labs/anything-llm es mantenido por Mintplex-Labs. La última actividad registrada en GitHub es de 2d ago, con 343 issues abiertos.

¿Hay alternativas a anything-llm?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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