AnythingLLM

AnythingLLM is a private AI assistant available as desktop software, a mobile app, and self-hosted or cloud deployments. The free desktop product runs on macOS, Windows, and Linux without an account, API key, or token limit. It can turn documents into an agent knowledge base while keeping data on the device. Desktop features include file-system capabilities, web search and scraping, model selection, background jobs, custom agent skills, and a Meeting Assistant. That assistant records, transcribes, summarizes, and indexes meetings on the computer without a bot joining the call or cloud processing. The mobile app runs small models on-device and includes web search, document chat, file generation, scheduled jobs, and memory. Supported providers include local options such as Ollama and LM Studio, as well as OpenAI, Anthropic, Google Gemini Pro, and others. Cloud instances support multiple users, tenant isolation, admin controls, and white-labeling. For self-hosted deployments, the maker says documents, chats, workspace settings, and embeddings remain on the user's infrastructure. Optional telemetry can be disabled. Cloud Basic costs $50 a month and Pro costs $99 a month. Windows documentation says the application targets Windows 11 and that other Windows versions may not work.

AnythingLLM offers local desktop and mobile tools alongside cloud and self-hosted options. Check Windows compatibility and deployment requirements, and compare cloud plan costs if you need hosted administration.

It suits people seeking a desktop or mobile AI assistant with on-device document and meeting tools. Organizations needing multi-user cloud administration or self-hosted deployment can also consider its deployment options.

Overview

AnythingLLM is a private AI assistant for turning documents and meetings into searchable knowledge, with desktop and mobile apps plus cloud and self-hosted deployments. It suits people who want to keep work on their own device or infrastructure, while its hosted plans add team administration. Its breadth is a strength, but Windows support has a specific OS caveat and cloud administration starts at $50 a month.

The core is released under the MIT License. The product sits between a personal assistant and a configurable knowledge platform: desktop users can start without an account or API key, while teams can connect supported model providers or choose a managed cloud instance.

Key features

Documents, models, and agents

Uploaded documents can become an agent knowledge base while remaining on the device in the local setup. Desktop adds file-system capabilities, web scraping and search, dynamic model selection, background jobs, and custom agent skills. That makes it more flexible than a document-only chat tool, though the range of options will matter most to users willing to configure their own setup. A Developer API extends functionality beyond the built-in product.

Model connections include local runtimes such as Ollama, LM Studio, Local AI, KobaldCPP, and oMLX, as well as hosted providers including OpenAI, Azure OpenAI, Anthropic, Cohere, Google Gemini Pro, Hugging Face, Together AI, OpenRouter, Perplexity AI, Mistral API, and Groq. This choice lets users bring a preferred model, but the no-key, no-token-limit promise applies to the Desktop plan; connecting a hosted provider may require its own API key.

Meetings and mobile

The desktop Meeting Assistant records and transcribes meetings, then summarizes and indexes them on the computer without a call bot or cloud processing. That is a useful privacy distinction for people who want meeting notes tied to a local knowledge base. The mobile app runs small models on-device and adds web search, document chat, file generation, scheduled jobs, and memory, offering more than a remote window into the desktop app.

Administration and data

Cloud instances support multiple users, tenant isolation, fine-grained admin controls, and white-labeling. For self-hosted deployments, Mintplex Labs says it does not host or access documents, chats, workspace settings, or embeddings; those stay on the operator's infrastructure. Telemetry is optional and anonymous, excludes document content and chat logs, and can be disabled in settings. These choices suit privacy-conscious users, though teams still need to choose and maintain the deployment that fits their requirements.

Pricing

AnythingLLM has a free Desktop plan and a self-hosted option, alongside paid cloud plans billed monthly. The free desktop version includes no account, no API key, and no token limits, making it the strongest starting point for an individual who wants local use rather than managed team administration.

• Desktop: free. No account, API key, or token limits. Best for individual local use; it does not provide the cloud administration features described for hosted instances.
• Self-hosted: custom pricing is not given; the plan is an open-source deployment using Docker. It suits operators who want to run the service on their infrastructure, but they take on deployment and administration.
• Basic: $50 a month, billed monthly. Includes a private instance, custom subdomain, RAG, agents, and the ability to bring an LLM API key. This is the lower-cost cloud route for a team that needs a hosted private instance, but model API costs are separate from the plan price.
• Pro: $99 a month, billed monthly. Includes a private instance, RAG, agents, priority resources, and a 72-hour support SLA. It fits teams that need priority resources and a defined support response, rather than only the Basic feature set.
• Enterprise: custom pricing. Includes on-premise deployment, a custom SLA, custom integrations, SSO, and RBAC. It is aimed at organizations needing those controls; custom pricing means it is not a simple fixed-price upgrade.

Seat counts, quotas, and trial terms are not part of the plan terms described above, so buyers should weigh the stated inclusions rather than assume a particular capacity.

Platforms

AnythingLLM spans Android, web, API, self-hosted deployments, and desktop builds for Windows, macOS, and Linux. Native desktop builds cover Apple Silicon and Intel Macs, Windows x64 and ARM, and Linux. Windows is the main qualification: the application targets Windows 11 and is intended for a Windows Home user account; other Windows versions may not work. Check that requirement before choosing it for a Windows machine.

Who it's for

Choose AnythingLLM if you want a document and meeting assistant that can keep data local, connect to a range of model providers, or scale from personal desktop use to a self-managed or cloud team deployment. It is less suited to someone seeking a turnkey hosted team product at no cost, or a Windows user who cannot meet its stated Windows 11 and Home-account target.

Pros and cons

• Pro: The free Desktop plan removes account, API-key, and token-limit requirements, lowering the barrier to private individual use.
• Pro: Local document handling and meeting transcription, plus self-hosted data remaining on the operator's infrastructure, give privacy-focused users meaningful deployment choices.
• Pro: Local and hosted model integrations, mobile tools, and a Developer API make it adaptable across personal and technical workflows.
• Con: Cloud plans start at $50 a month, and Basic requires the buyer's LLM API key, so hosted use adds cost and setup beyond the subscription.
• Con: Windows support targets Windows 11 and a Home user account, which may rule out other Windows configurations.
• Con: Self-hosting avoids putting instance data on the maker's infrastructure but leaves deployment and administration to the operator.

Alternatives

For a wider category comparison, browse Retrieval-Augmented Generation Tools or AI chatbots and assistants.

• Graphiti is a free, self-managed, open-source framework for users who want an API or self-hosted option.
• OpenRAG offers a free AGPL-3.0 self-hosted deployment with no feature held back, making it a fit for users who want that licensing and infrastructure model.
• PrivateGPT is a free option with API, desktop, web, and self-hosted platforms for users comparing another open-source assistant.
• Quivr has free agent plans for knowledge management and support-data insights; consider it when those named roles match your needs.
• txtai is a free Apache 2.0 project installable with pip or Docker, suited to users who want an open-source framework on those terms.
• Dify has a free Sandbox with 200 message credits, one workspace, one member, five apps, 50 knowledge documents, and 50MB storage; it is a clearer fit for someone whose needs fit those capped allowances.
• Haystack is a free open-source Python framework for users building with that framework rather than choosing a desktop assistant.
• Haystack Enterprise Platform has a free Studio tier with one workspace and user, 100 pipeline hours, and a 50-file limit; consider it if that bounded pipeline workspace suits your starting scale.

Verdict

AnythingLLM is the right choice for people who want private document and meeting workflows with a real path from free local desktop use to mobile, self-hosted, or managed team deployments. Its strongest reason to choose it is that range without giving up local-data options; its clearest reasons to look elsewhere are the monthly cost of cloud administration and the narrow Windows target.