AnythingLLM
UnclaimedThe all-in-one AI desktop app for documents and agents
TL;DR - AnythingLLM
- Open-source LLM chat
- Document conversations
- RAG capabilities
Pricing: Free forever
Best for: Individuals & startups
Pricing
Free
AnythingLLM is completely free to use with no hidden costs.
About AnythingLLM
AnythingLLM is an open-source, all-in-one AI application that enables private document chat using retrieval-augmented generation (RAG). The platform combines local or remote LLM chat with document intelligence while keeping everything stored locally on your machine for maximum privacy.
The application supports 15+ language models including OpenAI, Anthropic Claude, and local models like Llama. It processes PDFs, DOCX, TXT, CSV, images, and audio files with a fully customizable document management system. Deployment options include a desktop app for single users, Docker-based self-hosted servers for teams, and managed cloud instances.
AnythingLLM works on MacOS, Windows, and Linux with fine-grained admin controls for user permissions. The platform offers whitelabeling capabilities for custom branding. Local deployment requires minimum 16GB RAM, with 32GB+ recommended for optimal performance with larger models.
Reviews
No reviews yet. Be the first to review AnythingLLM!
Write a ReviewExplore More
AnythingLLM FAQ
Yes, AnythingLLM offers a free open-source desktop version with full functionality. Hosted cloud plans start at /month for teams needing managed infrastructure without self-hosting.
Yes, AnythingLLM is designed to be local by default. You can run local LLMs like Llama with all documents, chats, and data stored entirely on your machine without internet connection.
AnythingLLM supports 15+ providers including OpenAI, Anthropic Claude, Google, Azure, local models via Ollama or LM Studio, and custom API deployments.
AnythingLLM supports PDF, TXT, DOCX, CSV, and various document types including images and audio files. Documents can be attached directly or embedded for RAG retrieval.
Minimum 16GB RAM for basic functionality, 32GB+ recommended for larger models. Organizations choosing local models for privacy should budget ,000-5,000 for proper hardware.