AnythingLLM

The all-in-one AI application for local and private use.

Freemium

Description

AnythingLLM is presented as a comprehensive AI application designed for both individual desktop use and team collaboration via cloud or self-hosted options. It aims to consolidate various AI functionalities into a single platform, emphasizing local operation and data privacy. Users can interact with their documents, including PDFs, Word files, CSVs, and codebases, by chatting with an AI powered by their choice of large language models (LLMs).

The platform supports running LLMs fully locally using a built-in provider or connecting to enterprise models from services like OpenAI, Azure, and AWS. Key design principles include ease of use with a simple interface requiring no coding knowledge, full privacy with local storage and processing by default, and extensive customization through an open-source model (MIT licensed). It also features multi-modal capabilities, handling text, images, and audio, alongside a built-in developer API for integration into other products. The cloud and self-hosted versions offer multi-user support, administrative controls, and white-labeling options for businesses.

Key Features

Local & Offline Operation: Runs fully on the user's desktop for privacy and offline access.
Chat with Documents: Enables conversational interaction with various document types (PDFs, Word, CSV, codebases, etc.).
Flexible LLM Support: Works with built-in local LLMs or connects to enterprise models (OpenAI, Azure, AWS).
Wide Document Compatibility: Processes PDFs, word documents, CSV files, codebases, and imports from online locations.
Privacy-Focused Architecture: Defaults to local processing and storage for LLM, embedder, vector database, and agents.
Open Source & Customizable: MIT licensed, allowing extension with custom agents, data loaders, and plugins.
AI Agent Integration: Utilize AI agents for various tasks within the application.
Multi-Modal Support: Capable of working with text-only and multi-modal LLMs (images, audio).
Built-in Developer API: Provides an API for custom development and integration into existing products.
Team Collaboration (Cloud/Self-Hosted): Offers multi-user access, admin controls, and white-labeling for team deployments.

Use Cases

Securely analyzing sensitive documents locally without cloud exposure.
Building custom AI workflows and knowledge bases without coding.
Leveraging diverse LLMs, including specialized local models or powerful cloud APIs.
Creating private, searchable knowledge bases from various company file types.
Integrating AI chat capabilities into existing business applications via API.
Deploying a customizable and private AI platform for internal team use.
Interacting with documents containing text, images, or audio data.