AnythingLLM

Active

Country: United States (US)
Founded: 2023
Developer: Mintplex Labs, Inc.
Pricing: Free (open-source) with optional enterprise plans
Open source: Yes
Platforms: Windows, macOS, Linux, Docker, Web, Android

Indexes

AI Agents & Automation AI Assistants

Overview

AnythingLLM is an open-source, full-stack AI application that enables users to chat with documents using Retrieval-Augmented Generation (RAG), build AI agents, and manage private knowledge bases without complex setup. It supports local or cloud LLMs, document ingestion, vector storage, and multi-user permissions, targeting individuals and organizations needing private, customizable AI workflows for document querying and agentic tasks.¹²³⁵

Key Features

Document Ingestion - Drag-and-drop support for PDFs, DOCX, TXT, and more with automatic chunking and overlap configuration.
Vector Storage - Built-in LanceDB or integration with Pinecone, Chroma, Qdrant, and others.
LLM Flexibility - Compatible with 30+ providers including OpenAI, Anthropic, Ollama, local models, and multi-modal LLMs.
AI Agents - No-code agent builder with skills for web search, scraping, summarization, and Model Context Protocol (MCP) support.
Multi-user Support - Permissioning and management for multiple users across workspaces.
REST API - Full API access for programmatic integration with AI agents.
Workspaces - Containerized document organization that prevents cross-context leakage.
Multi-modal Support - Handles both text-only and vision-capable LLMs.

Pricing

Plan	Price	Includes
Community (Open-Source)	Free	Full core features, self-hosted, MIT license.
Desktop	Free	Local installation on Windows, macOS, Linux with offline capabilities.
Enterprise	Contact for pricing	Advanced multi-user, permissions, custom support, and hosting options.

Platforms & Requirements

Desktop versions run on Windows, macOS, and Linux via standalone installers or Docker, storing all data locally with no cloud dependency. Android mobile app supports on-device RAG, local SLMs, and agentic tools fully offline. Web deployment available for server hosting; no iOS app mentioned.

Integrations & Ecosystem

OpenAI
Anthropic
Ollama
LM Studio
Azure OpenAI
Google Gemini
AWS Bedrock
Groq
Pinecone
Chroma
Qdrant
LanceDB

Alternatives

App	Difference
Ollama	Focuses on local LLM running without built-in RAG or agent UI; AnythingLLM adds full document chat and agents.
PrivateGPT	Similar private RAG but less flexible LLM support and no native agent builder.
Flowise	No-code LLM app builder emphasizing flows over document workspaces and multi-LLM RAG.
Haystack	Developer-focused RAG framework requiring more setup; AnythingLLM offers ready-to-use UI.

Reputation

AnythingLLM is praised for its ease of use, comprehensive all-in-one features, and rapid growth with over 54,000 GitHub stars and active community on Discord.¹²⁵ Users appreciate the privacy focus, broad LLM compatibility, and no-setup deployment for self-hosted AI. Some note it as a leading option in self-hosted RAG tools, though enterprise features may require paid support.

Sources (8)