AnythingLLM

AnythingLLM is an open source, all-in-one AI application that enables individuals and teams to run private, customizable LLM-powered chatbots with full control over their data. Designed for maximum flexibility, AnythingLLM supports virtually any large language model and can be deployed as a desktop application or a self-hosted server, making it one of the most accessible and privacy-focused AI tools available.

The core concept in AnythingLLM is the workspace. Each workspace is an isolated environment with its own set of documents, system prompt configuration, LLM settings, and conversation history. This allows users to create specialized assistants for different purposes, such as a legal document analyzer, a technical support bot, a code review assistant, or a personal knowledge base, all within a single AnythingLLM installation.

Document management and retrieval-augmented generation (RAG) are central to the AnythingLLM experience. Users can upload documents in various formats including PDF, DOCX, TXT, Markdown, and web pages, and AnythingLLM will process them automatically into chunks, generate embeddings, and store them in a vector database. When a user asks a question, the system retrieves the most relevant document chunks and passes them to the LLM as context, enabling accurate, grounded responses based on private knowledge.

AnythingLLM supports a broad range of LLM providers. For users who want full local privacy, it integrates with Ollama, LMStudio, LocalAI, and other local inference servers, allowing models to run entirely on the user's own hardware with no data leaving the machine. For those who prefer hosted APIs, it supports OpenAI, Anthropic, Google Gemini, Azure OpenAI, Mistral, and many others. Vector database options are similarly flexible, with support for built-in LanceDB, Chroma, Weaviate, Pinecone, and Qdrant.

The agent framework in AnythingLLM enables AI assistants to take actions beyond answering questions. Agents can browse the web, execute SQL queries, run code, interact with local files, and call external APIs. These capabilities transform AnythingLLM from a passive question-answering tool into an active assistant that can complete real-world tasks.

The multi-user server mode supports team deployments with user authentication, role-based access controls, shared workspaces, and usage logging. Administrators can manage users, control which LLMs and tools each workspace can access, and monitor conversation activity across the organization. This makes AnythingLLM suitable not only for individual use but also for small and medium-sized teams that want a private, on-premises AI platform.

AnythingLLM offers a clean, intuitive chat interface that requires no technical expertise to use. The desktop version for Windows, macOS, and Linux provides a fully self-contained experience with a bundled local LLM option for users who want to get started immediately without any server configuration.

The project is actively maintained with a vibrant open source community contributing new features, integrations, and bug fixes regularly. Its combination of ease of use, deep customization, and strong privacy guarantees has made AnythingLLM one of the most popular self-hosted AI tools in the community.