ChatGPT
AI conversational assistant for answering questions, writing, and coding help
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
All-in-one AI app for chatting with your documents
Turn any document into context for LLMs. Chat with your docs using AI agents, support multi-user workspaces, and deploy anywhere with hyper-configurable LLM and vector database options.
AnythingLLM is a full-stack application that transforms documents, resources, and content into context for large language models. Whether you need a private ChatGPT alternative or a multi-user knowledge base, AnythingLLM lets you choose your preferred LLM provider and vector database without vendor lock-in.
Development teams building custom AI solutions, enterprises requiring document-based chat with permissioning, and individuals seeking local AI deployments all benefit from AnythingLLM's flexibility. The workspace model containerizes documents into isolated threads, keeping context clean across different projects while allowing document sharing when needed.
AnythingLLM supports 30+ LLM providers including OpenAI, Anthropic, Ollama, and llama.cpp-compatible models. It integrates with 9 vector databases, offers multi-modal chat, and includes a no-code AI agent builder with MCP compatibility. Deploy via Docker for multi-user instances with embeddable chat widgets, or run the desktop app on Mac, Windows, and Linux. A full developer API enables custom integrations, while built-in cost controls optimize large document processing.
When teams consider AnythingLLM, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Enterprise Knowledge Base
Deploy multi-user workspaces with role-based permissions, allowing departments to chat with internal documentation while maintaining data isolation and compliance.
Customer Support Automation
Embed chat widgets on websites that answer questions using product documentation, reducing support ticket volume with accurate, cited responses.
Research Document Analysis
Upload academic papers, reports, and datasets into isolated workspaces, then query across documents using AI agents that browse supplementary web sources.
Local AI Development
Run entirely offline using Ollama and LanceDB on desktop, enabling privacy-focused prototyping with llama.cpp-compatible models and custom embeddings.
Docker deployments support multi-user instances with permissions and embeddable chat widgets. Desktop versions (Mac, Windows, Linux) are single-user applications ideal for local, private use.
Yes. AnythingLLM supports any llama.cpp-compatible model, plus 30+ providers including OpenAI, Anthropic, Ollama, LM Studio, and LocalAI for both commercial and self-hosted models.
Workspaces function as isolated threads with containerized documents. While workspaces can share documents, conversations and context remain separate, preventing information bleed between projects.
AnythingLLM processes PDF, TXT, DOCX, and other common formats. Built-in cost-saving measures optimize processing for very large documents compared to typical chat interfaces.
Yes. AnythingLLM provides a full developer API for building custom integrations, automating workflows, and embedding chat functionality into external applications.
Project at a glance
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