AnythingLLM is an all-in-one desktop application for Mac, Windows, and Linux that enables you to download and run any LLM locally and privately chat with your documents. By default, the LLM, embedding, and even vector database are all stored locally and can even run 100% offline.
If you are looking to leverage more powerful models, embedders, or vector databases you can connect to any of the 20+ integrated providers to supercharge your AnythingLLM instance.
Shipped with Ollama built-in, you do not need to download anything else to get a full RAG chatbot with zero setup and full privacy. Upload PDFs, mp3s, text files - Anything!
AnythingLLM also comes with a full developer API you can leverage for custom integrations and even several data source connectors like GitHub and YouTube.
AnythingLLM is an MIT Licensed project and is fully open-source for you to modify.
If you are looking for a multi-user experience AnythingLLM also has a self-hosted Docker image that supports concurrent users. AnythingLLM is the last RAG-based chatbot solution you will ever need.
All-in-one AI application that supports any LLM, document type, and agent, functioning fully offline and locally.
Built-in privacy features ensure that all data is stored and processed locally, with no sharing unless permitted.
Simple user interface designed for ease of use, requiring no coding or technical expertise.
Open-source and customizable, allowing for extensions with custom agents and data connectors.
Multi-user support with admin controls for fine-grained access management in self-hosted or cloud environments.
Chat with various document types, including PDFs, Word documents, and CSV files, using AI capabilities.
Run any preferred LLM locally or connect to cloud-based LLM engines without complex setup.
Utilize built-in developer API for custom development or integration into existing products.
Customize and white-label the application for specific branding and organizational needs.
Enable multi-user access with admin controls for privacy and isolation between users on the same server.
Local and Offline Functionality: Allows users to run AI models and access documents without needing an internet connection, ensuring privacy and security.
Supports Various Document Types: Users can work with multiple formats, including PDFs, Word documents, and codebases, enhancing versatility in handling business data.
No Setup Required: The application is designed for immediate use, eliminating the need for complex installations or configurations.
Privacy-Focused Design: All data and interactions are stored locally, ensuring that sensitive information remains confidential and is not shared without user consent.
Customizable and Extensible: Users can tailor the application to their specific needs by adding custom agents and plugins, enhancing its functionality and adaptability.
AnythingLLM Desktop is free to use and open source, licensed under MIT.
The application allows for local installation with no additional setup or account required.
AnythingLLM can be self-hosted or used in a cloud environment for multi-user access.
Customization options are available, including white-labeling for company branding.
Admin controls allow for fine-grained management of user permissions and access.
