Anythingllm
On-device AI for productivity | Local & Private
Overview
AnythingLLM is an on-device AI assistant designed to bring private, local artificial intelligence to individuals and organizations. It enables users to interact with documents, run background automations, scrape web content, and transcribe meetings without sending data off their local device. Because it operates locally, it eliminates token rate limits, account requirements, and cloud processing fees. In addition to the desktop application, AnythingLLM offers multi-user deployment capabilities for teams. Organizations can choose to self-host using Docker or opt for managed cloud hosting, allowing multiple team members to collaborate in isolated workspaces with role-based admin controls, white-labeling, and model customizability.
Best for: Privacy-conscious individuals, developers, and teams looking for a local, open-source AI assistant and document knowledge base.
Pros and cons
What works well
- Runs completely locally on device with zero token limits and full data privacy
- Fully open-source under the MIT license with desktop and self-hosting options
- Includes integrated meeting transcription, document RAG, and background job automation
Where it falls short
- Managed cloud hosting plans require a paid monthly subscription
- Requires proper hardware resources or user-provided API keys depending on the chosen model setup
Pricing
Desktop / Self-Host
Free
MIT Licensed open-source desktop app or Docker self-host for complete local data ownership.
Basic
$50 /monthly
Private hosted instance with custom subdomain, RAG, and out-of-the-box agents for small teams.
Pro
$99 /monthly
Higher performance hosted instance with priority resources and a 72-hour support SLA.
Enterprise
Contact Us
Premium service package featuring on-premise deployment support, custom SLAs, custom integrations, SSO, and RBAC.
User reviews
Frequently asked questions
Is AnythingLLM free to use?
Yes, the AnythingLLM desktop application is completely free, open-source, and licensed under the MIT license. Self-hosting via Docker is also free.
Does AnythingLLM send my data to external cloud servers?
No, when using the desktop application, your documents, meeting recordings, and context remain entirely on your computer with no cloud processing or token limits.
What operating systems are supported by AnythingLLM Desktop?
The AnythingLLM Desktop application runs on macOS, Windows, and Linux as a single executable file with no external dependencies.
How does the AnythingLLM Meeting Assistant work?
The Meeting Assistant listens and processes audio locally during calls to generate transcripts, summaries, and action items without requiring a bot to join your meeting.
What options exist for organization and team hosting?
Teams can either self-host for free using Docker or subscribe to managed cloud plans starting at $50/month for private multi-user instances.