
anything-llm
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Stars: 49196

AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.
README:
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
👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now
A full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as a reference during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.
AnythingLLM is a full-stack application where you can use commercial off-the-shelf LLMs or popular open source LLMs and vectorDB solutions to build a private ChatGPT with no compromises that you can run locally as well as host remotely and be able to chat intelligently with any documents you provide it.
AnythingLLM divides your documents into objects called workspaces
. A Workspace functions a lot like a thread, but with the addition of containerization of your documents. Workspaces can share documents, but they do not talk to each other so you can keep your context for each workspace clean.
- 🆕 Full MCP-compatibility
- 🆕 No-code AI Agent builder
- 🖼️ Multi-modal support (both closed and open-source LLMs!)
- Custom AI Agents
- 👤 Multi-user instance support and permissioning Docker version only
- 🦾 Agents inside your workspace (browse the web, etc)
- 💬 Custom Embeddable Chat widget for your website Docker version only
- 📖 Multiple document type support (PDF, TXT, DOCX, etc)
- Simple chat UI with Drag-n-Drop functionality and clear citations.
- 100% Cloud deployment ready.
- Works with all popular closed and open-source LLM providers.
- Built-in cost & time-saving measures for managing very large documents compared to any other chat UI.
- Full Developer API for custom integrations!
- Much more...install and find out!
Large Language Models (LLMs):
-
CometAPI (chat models) Embedder models:
-
AnythingLLM Native Embedder (default)
Audio Transcription models:
- AnythingLLM Built-in (default)
- OpenAI
TTS (text-to-speech) support:
- Native Browser Built-in (default)
- PiperTTSLocal - runs in browser
- OpenAI TTS
- ElevenLabs
- Any OpenAI Compatible TTS service.
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 |
---|---|---|
or set up a production AnythingLLM instance without Docker →
-
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.
- Go fill those out before proceeding. Ensure
-
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).
These are apps that are not maintained by Mintplex Labs, but are compatible with AnythingLLM. A listing here is not an endorsement.
- Midori AI Subsystem Manager - A streamlined and efficient way to deploy AI systems using Docker container technology.
- Coolify - Deploy AnythingLLM with a single click.
- GPTLocalhost for Microsoft Word - A local Word Add-in for you to use AnythingLLM in Microsoft Word.
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.
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.
- Contributing to AnythingLLM - How to contribute to AnythingLLM.




































- VectorAdmin: An all-in-one GUI & tool-suite for managing vector databases.
- OpenAI Assistant Swarm: Turn your entire library of OpenAI assistants into one single army commanded from a single agent.
Copyright © 2025 Mintplex Labs.
This project is MIT licensed.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for anything-llm
Similar Open Source Tools

anything-llm
AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

Kiln
Kiln is an intuitive tool for fine-tuning LLM models, generating synthetic data, and collaborating on datasets. It offers desktop apps for Windows, MacOS, and Linux, zero-code fine-tuning for various models, interactive data generation, and Git-based version control. Users can easily collaborate with QA, PM, and subject matter experts, generate auto-prompts, and work with a wide range of models and providers. The tool is open-source, privacy-first, and supports structured data tasks in JSON format. Kiln is free to use and helps build high-quality AI products with datasets, facilitates collaboration between technical and non-technical teams, allows comparison of models and techniques without code, ensures structured data integrity, and prioritizes user privacy.

panko-gpt
PankoGPT is an AI companion platform that allows users to easily create and deploy custom AI companions on messaging platforms like WhatsApp, Discord, and Telegram. Users can customize companion behavior, configure settings, and equip companions with various tools without the need for coding. The platform aims to provide contextual understanding and user-friendly interface for creating companions that respond based on context and offer configurable tools for enhanced capabilities. Planned features include expanded functionality, pre-built skills, and optimization for better performance.

agentcloud
AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.

db2rest
DB2Rest is a modern low code REST DATA API platform that enables the rapid development of intelligent applications by combining databases, language models, and vector stores. It facilitates context-aware, reasoning applications without vendor lock-in. The tool accelerates application delivery, fosters faster innovation with AI, serves as a secure database gateway, and simplifies integration. It supports various databases like PostgreSQL, MySQL, MS SQL Server, Oracle, MongoDB, and more, with planned support for additional databases. Users can connect on Discord for support and contact [email protected] for inquiries.

deepchecks
Deepchecks is a holistic open-source solution for AI & ML validation needs, enabling thorough testing of data and models from research to production. It includes components for testing, CI & testing management, and monitoring. Users can install and use Deepchecks for testing and monitoring their AI models, with customizable checks and suites for tabular, NLP, and computer vision data. The tool provides visual reports, pythonic/json output for processing, and a dynamic UI for collaboration and monitoring. Deepchecks is open source, with premium features available under a commercial license for monitoring components.

biochatter
Generative AI models have shown tremendous usefulness in increasing accessibility and automation of a wide range of tasks. This repository contains the `biochatter` Python package, a generic backend library for the connection of biomedical applications to conversational AI. It aims to provide a common framework for deploying, testing, and evaluating diverse models and auxiliary technologies in the biomedical domain. BioChatter is part of the BioCypher ecosystem, connecting natively to BioCypher knowledge graphs.

biniou
biniou is a self-hosted webui for various GenAI (generative artificial intelligence) tasks. It allows users to generate multimedia content using AI models and chatbots on their own computer, even without a dedicated GPU. The tool can work offline once deployed and required models are downloaded. It offers a wide range of features for text, image, audio, video, and 3D object generation and modification. Users can easily manage the tool through a control panel within the webui, with support for various operating systems and CUDA optimization. biniou is powered by Huggingface and Gradio, providing a cross-platform solution for AI content generation.

ros-mcp-server
The ros-mcp-server repository contains a ROS (Robot Operating System) package that provides a server for Multi-Contact Planning (MCP) in robotics. The server facilitates the planning of multiple contacts between a robot and its environment, enabling complex manipulation tasks. It includes functionalities for collision checking, motion planning, and contact stability analysis. This tool is designed to enhance the capabilities of robotic systems by enabling them to perform tasks that involve multiple points of contact with the environment. The repository includes documentation and examples to help users integrate the MCP server into their robotic applications.

chatbox
Chatbox is a desktop client for ChatGPT, Claude, and other LLMs, providing a user-friendly interface for AI copilot assistance on Windows, Mac, and Linux. It offers features like local data storage, multiple LLM provider support, image generation with Dall-E-3, enhanced prompting, keyboard shortcuts, and more. Users can collaborate, access the tool on various platforms, and enjoy multilingual support. Chatbox is constantly evolving with new features to enhance the user experience.

assistant-ui
assistant-ui is a set of React components for AI chat, providing wide model provider support out of the box and the ability to integrate custom APIs. It includes integrations with Langchain, Vercel AI SDK, TailwindCSS, shadcn-ui, react-markdown, react-syntax-highlighter, React Hook Form, and more. The tool allows users to quickly create AI chat applications with pre-configured templates and easy setup steps.

llm-interface
LLM Interface is an npm module that streamlines interactions with various Large Language Model (LLM) providers in Node.js applications. It offers a unified interface for switching between providers and models, supporting 36 providers and hundreds of models. Features include chat completion, streaming, error handling, extensibility, response caching, retries, JSON output, and repair. The package relies on npm packages like axios, @google/generative-ai, dotenv, jsonrepair, and loglevel. Installation is done via npm, and usage involves sending prompts to LLM providers. Tests can be run using npm test. Contributions are welcome under the MIT License.

mlflow
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are:
* `MLflow Tracking

Newelle
Newelle is an advanced virtual assistant application that offers a wide range of features, including advanced customization, flexible model support, terminal command execution, voice support, long-term memory, chat with documents, web search, website reading, profile manager, file manager, rich formatting, and chat editing. It also supports extensions to enhance its functionality, such as the Mini Window Mode. Users can install Newelle using various methods like install.sh, GNOME Builder, Nix, or Flathub. However, the Flathub version has restricted permissions to ensure security. Newelle's forks include Newelle Lite for aarch64 and Nyarch Assistant, a Waifu AI Assistant.

pebble
Pebbling is an open-source protocol for agent-to-agent communication, enabling AI agents to collaborate securely using Decentralised Identifiers (DIDs) and mutual TLS (mTLS). It provides a lightweight communication protocol built on JSON-RPC 2.0, ensuring reliable and secure conversations between agents. Pebbling allows agents to exchange messages safely, connect seamlessly regardless of programming language, and communicate quickly and efficiently. It is designed to pave the way for the next generation of collaborative AI systems, promoting secure and effortless communication between agents across different environments.

ai-optimizer
The Oracle AI Optimizer and Toolkit provides a streamlined environment for developers and data scientists to explore Generative Artificial Intelligence (GenAI) and Retrieval-Augmented Generation (RAG) capabilities. It integrates Oracle Database 23ai AI VectorSearch and SelectAI to enhance Large Language Models (LLMs) through RAG.
For similar tasks

anything-llm
AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

DistiLlama
DistiLlama is a Chrome extension that leverages a locally running Large Language Model (LLM) to perform various tasks, including text summarization, chat, and document analysis. It utilizes Ollama as the locally running LLM instance and LangChain for text summarization. DistiLlama provides a user-friendly interface for interacting with the LLM, allowing users to summarize web pages, chat with documents (including PDFs), and engage in text-based conversations. The extension is easy to install and use, requiring only the installation of Ollama and a few simple steps to set up the environment. DistiLlama offers a range of customization options, including the choice of LLM model and the ability to configure the summarization chain. It also supports multimodal capabilities, allowing users to interact with the LLM through text, voice, and images. DistiLlama is a valuable tool for researchers, students, and professionals who seek to leverage the power of LLMs for various tasks without compromising data privacy.

SecureAI-Tools
SecureAI Tools is a private and secure AI tool that allows users to chat with AI models, chat with documents (PDFs), and run AI models locally. It comes with built-in authentication and user management, making it suitable for family members or coworkers. The tool is self-hosting optimized and provides necessary scripts and docker-compose files for easy setup in under 5 minutes. Users can customize the tool by editing the .env file and enabling GPU support for faster inference. SecureAI Tools also supports remote OpenAI-compatible APIs, with lower hardware requirements for using remote APIs only. The tool's features wishlist includes chat sharing, mobile-friendly UI, and support for more file types and markdown rendering.

serverless-pdf-chat
The serverless-pdf-chat repository contains a sample application that allows users to ask natural language questions of any PDF document they upload. It leverages serverless services like Amazon Bedrock, AWS Lambda, and Amazon DynamoDB to provide text generation and analysis capabilities. The application architecture involves uploading a PDF document to an S3 bucket, extracting metadata, converting text to vectors, and using a LangChain to search for information related to user prompts. The application is not intended for production use and serves as a demonstration and educational tool.

chat-your-doc
Chat Your Doc is an experimental project exploring various applications based on LLM technology. It goes beyond being just a chatbot project, focusing on researching LLM applications using tools like LangChain and LlamaIndex. The project delves into UX, computer vision, and offers a range of examples in the 'Lab Apps' section. It includes links to different apps, descriptions, launch commands, and demos, aiming to showcase the versatility and potential of LLM applications.

witsy
Witsy is a generative AI desktop application that supports various models like OpenAI, Ollama, Anthropic, MistralAI, Google, Groq, and Cerebras. It offers features such as chat completion, image generation, scratchpad for content creation, prompt anywhere functionality, AI commands for productivity, expert prompts for specialization, LLM plugins for additional functionalities, read aloud capabilities, chat with local files, transcription/dictation, Anthropic Computer Use support, local history of conversations, code formatting, image copy/download, and more. Users can interact with the application to generate content, boost productivity, and perform various AI-related tasks.

docs-ai
Docs AI is a platform that allows users to train their documents, chat with their documents, and create chatbots to solve queries. It is built using NextJS, Tailwind, tRPC, ShadcnUI, Prisma, Postgres, NextAuth, Pinecone, and Cloudflare R2. The platform requires Node.js (Version: >=18.x), PostgreSQL, and Redis for setup. Users can utilize Docker for development by using the provided `docker-compose.yml` file in the `/app` directory.

LlmTornado
LLM Tornado is a .NET library designed to simplify the consumption of various large language models (LLMs) from providers like OpenAI, Anthropic, Cohere, Google, Azure, Groq, and self-hosted APIs. It acts as an aggregator, allowing users to easily switch between different LLM providers with just a change in argument. Users can perform tasks such as chatting with documents, voice calling with AI, orchestrating assistants, generating images, and more. The library exposes capabilities through vendor extensions, making it easy to integrate and use multiple LLM providers simultaneously.
For similar jobs

ChatFAQ
ChatFAQ is an open-source comprehensive platform for creating a wide variety of chatbots: generic ones, business-trained, or even capable of redirecting requests to human operators. It includes a specialized NLP/NLG engine based on a RAG architecture and customized chat widgets, ensuring a tailored experience for users and avoiding vendor lock-in.

agentcloud
AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.

anything-llm
AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Magick
Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.

glide
Glide is a cloud-native LLM gateway that provides a unified REST API for accessing various large language models (LLMs) from different providers. It handles LLMOps tasks such as model failover, caching, key management, and more, making it easy to integrate LLMs into applications. Glide supports popular LLM providers like OpenAI, Anthropic, Azure OpenAI, AWS Bedrock (Titan), Cohere, Google Gemini, OctoML, and Ollama. It offers high availability, performance, and observability, and provides SDKs for Python and NodeJS to simplify integration.

chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

onnxruntime-genai
ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.