AnythingLLM
Run private AI assistants that chat with your documents, connect to your data, and use powerful language models.
Website
Category
AI Agent Builders
Pricing
Free & Open Source
Overview
AnythingLLM is an open-source AI application designed to help individuals and businesses work with large language models, documents, knowledge bases, and AI agents from a single platform. It provides a user-friendly interface for chatting with AI models while allowing users to add their own documents and data as context.
The platform supports both local and cloud-based AI models, giving users flexibility over where their AI workloads and data are processed. AnythingLLM can connect to popular model providers as well as locally hosted models, making it suitable for users who want more control over their AI environment.
AnythingLLM organizes AI interactions into workspaces, allowing users to create separate knowledge bases and conversations for different projects or business purposes. Documents can be uploaded and indexed so AI assistants can retrieve relevant information when answering questions.
The platform also includes AI agent capabilities, allowing agents to use tools and perform actions rather than simply responding to conversational prompts. This makes AnythingLLM useful for private AI assistants, document research, knowledge management, business automation, and custom AI workflows.
Tool Information
| Field | Details |
|---|---|
| Name | AnythingLLM |
| Category | AI Agent Builders |
| Type | AI Workspace & Agent Platform |
| Developer | Mintplex Labs |
| Deployment | Cloud / Self-Hosted / Desktop |
| Platform | Web / Desktop |
| AI Agents | Yes |
| Document Chat | Yes |
| RAG | Yes |
| Knowledge Bases | Yes |
| Multi-User Support | Yes |
| Tool Calling | Yes |
| Local AI Models | Yes |
| Cloud AI Models | Yes |
| Open Source | Yes |
| Official Website | https://anythingllm.com/ |
Key Features
AI Workspaces
Create separate AI workspaces for different projects, topics, teams, or knowledge bases.
Capabilities
- Dedicated workspaces
- Workspace-specific instructions
- Separate document collections
- Persistent conversations
- Custom AI configurations
- Multiple projects
Document Chat
Upload documents and interact with them using natural-language conversations.
Benefits
- Ask questions about documents
- Summarize information
- Find specific details
- Research uploaded content
- Analyze business documents
- Create knowledge assistants
AnythingLLM can process documents and make their information available to AI through retrieval-augmented generation.
RAG & Knowledge Bases
Connect AI models to private information without requiring the model to have been trained on that data.
Features
- Document indexing
- Embeddings
- Vector search
- Context retrieval
- Knowledge bases
- Retrieval-augmented generation
This allows users to build AI assistants around their own documents and organizational knowledge.
AI Agents
Create AI agents that can use tools and perform tasks beyond basic conversations.
Capabilities
- Tool calling
- Web search
- Task execution
- Agent instructions
- External tool access
- Autonomous workflows
Agents can use configured tools to retrieve information or perform actions as part of completing a task.
Model Flexibility
Use different AI models depending on your preferred provider, performance requirements, or privacy needs.
Supported Options
- OpenAI
- Anthropic
- Azure OpenAI
- OpenRouter
- Ollama
- LM Studio
- Local models
- Custom model providers
AnythingLLM’s model flexibility makes it possible to use hosted models or run compatible models locally.
Local AI
Run AI models locally instead of relying entirely on cloud-based AI services.
Advantages
- Greater data control
- Local document processing
- Private AI workflows
- Offline-capable deployments
- Reduced dependence on cloud providers
- Support for local model runners
This makes AnythingLLM particularly useful for users and organizations that prioritize privacy and control over their AI infrastructure.
Developer API
Integrate AnythingLLM functionality into other applications and workflows.
Capabilities
- REST API
- Workspace interaction
- AI chat integration
- Document management
- Programmatic workflows
- Custom applications
Developers can use the API to connect AnythingLLM with existing software and business systems.
Multi-User Workspaces
Deploy AnythingLLM for teams and organizations that need shared AI workspaces.
Features
- Multiple users
- Shared workspaces
- User permissions
- Team knowledge bases
- Centralized AI access
- Workspace management
Self-Hosting
Run AnythingLLM on your own infrastructure for greater control over data and deployment.
Deployment Options
- Desktop
- Docker
- Self-hosted server
- Cloud deployment
- Enterprise infrastructure
Self-hosting allows organizations to keep their AI application and knowledge sources within their own infrastructure.
Use Cases
Private AI Assistant
Create a personal AI assistant that can work with documents, knowledge, and selected AI models.
Document Research
Upload reports, PDFs, manuals, and other documents and use AI to search and analyze their contents.
Knowledge Management
Build internal knowledge assistants that help employees find information across company documents.
Business AI
Create AI workspaces for departments, projects, and business processes using private organizational data.
Local AI
Run AI models locally for applications where privacy, data control, or reduced cloud dependence is important.
Customer Support
Create knowledge-based assistants that use product documentation and company information to answer customer questions.
Research & Analysis
Use AI agents and document retrieval to research topics, summarize information, and analyze large collections of material.
AI Automation
Connect AI agents and tools to create workflows that can retrieve information and perform tasks automatically.
How AnythingLLM Works
AnythingLLM connects AI models with documents, knowledge bases, conversations, and tools through a workspace-based interface.
Typical Workflow
- Create a workspace
- Choose an AI model
- Upload documents or connect data
- Process and index the information
- Ask questions or start a conversation
- Retrieve relevant information from the knowledge base
- Generate an AI response
- Configure agents and tools when actions are required
- Integrate the workspace with other applications if needed
Users can choose between cloud AI providers and local models depending on their requirements.
Integrations
Supported Workflows
- OpenAI
- Anthropic
- Google Gemini
- Azure OpenAI
- OpenRouter
- Ollama
- LM Studio
- Local AI models
- Vector databases
- REST APIs
- Custom applications
- Document storage
- Web search tools
Advantages
- Open-source AI platform
- Free self-hosted option
- Local AI model support
- Cloud model support
- Document chat
- Built-in RAG
- AI agents
- Tool calling
- Knowledge bases
- Workspace organization
- Multi-user support
- Developer API
- Desktop application
- Docker deployment
- Strong privacy and data-control options
- Flexible model selection
Limitations
- Advanced AI workflows may require technical knowledge
- Local AI performance depends heavily on available hardware
- Running powerful local models can require substantial computing resources
- Complex RAG systems may require additional configuration
- Cloud AI providers can introduce separate usage costs
- Some enterprise capabilities may require paid services
Pricing
Self-Hosted
AnythingLLM’s core self-hosted application is available as open-source software and can be used without paying a software license fee.
Users can run it on their own computer or infrastructure and connect it to supported local or cloud AI models.
Cloud
AnythingLLM also offers a hosted cloud version for users who do not want to manage their own infrastructure.
Cloud plans provide hosted AI workspaces, storage, collaboration, and other managed capabilities.
Enterprise
Enterprise options are available for organizations that need additional deployment, security, administration, and support capabilities.
AI model providers may charge separately for API usage when cloud models are used.
Visit the official website for the latest pricing information.
Company Information
| Field | Details |
|---|---|
| Product Name | AnythingLLM |
| Company | Mintplex Labs |
| Category | AI Agent Builders |
| Industry | Artificial Intelligence |
| Product Type | AI Workspace & Agent Platform |
| Deployment | Cloud / Self-Hosted / Desktop |
| Target Audience | Individuals, Developers, Businesses, Enterprises |
| Official Website | https://anythingllm.com/ |
Frequently Asked Questions
What is AnythingLLM?
AnythingLLM is an open-source AI platform for chatting with documents, connecting private data to language models, building knowledge bases, and creating AI agent workflows.
Who should use AnythingLLM?
AnythingLLM is suitable for individuals, developers, researchers, businesses, and organizations that want a flexible AI assistant platform with local and cloud model support.
Can AnythingLLM chat with documents?
Yes. Users can upload documents to workspaces and interact with their contents using AI-powered retrieval and conversations.
Does AnythingLLM support local AI models?
Yes. AnythingLLM supports local model environments such as Ollama and LM Studio, allowing users to run AI workflows using models hosted on their own computers or infrastructure.
Can AnythingLLM build AI agents?
Yes. AnythingLLM includes agent functionality that allows AI assistants to use tools and perform actions as part of their workflows.
Is AnythingLLM free?
Yes. AnythingLLM’s open-source self-hosted version is available for free. The company also offers hosted cloud services and enterprise options that may have separate costs.
