AnythingLLM

Overview

AnythingLLM is an AI assistant for working with language models, documents and meetings across local, mobile, cloud and self-hosted setups. It suits people who want a private desktop assistant as well as teams that need a managed, multi-user instance. Its strongest case is the combination of local data handling and broad model choice; its main trade-off is that team cloud features start at $50 a month.

The desktop app runs without an account or API key and has no token limit. Documents can be turned into an agent knowledge base while remaining on the device. The core is under the MIT License. See Retrieval-Augmented Generation Tools and AI chatbots and assistants for related categories.

Key features

Documents, models and agents

Desktop features include file-system capabilities, web scraping and search, dynamic model selection, background jobs and custom agent skills. That breadth makes the free desktop edition more than a document chat tool, though model choice and setup will matter to users who want a turnkey hosted service. Supported runtimes and providers range from Ollama, LM Studio, Local AI, KobaldCPP and oMLX to OpenAI, Azure OpenAI, Anthropic, Cohere, Google Gemini Pro, Hugging Face, Together AI, OpenRouter, Perplexity AI, Mistral API, Groq and generic OpenAI-compatible services. A Developer API covers functionality not already built into the product.

Meeting Assistant

The desktop Meeting Assistant records, transcribes, summarizes and indexes meetings on the computer without a bot joining the call or cloud processing. That makes it a useful fit for users who want meeting notes kept local, rather than a cloud-based meeting workflow.

Mobile, integrations and administration

The mobile app runs small models on-device and includes web search, document chat, file generation, scheduled jobs and memory. Web search, file uploads, image generation, app integrations and team workspaces extend the product beyond local document Q&A. Cloud instances add multiple users, tenant isolation, fine-grained administration and white-labeling, which are aimed at organizations rather than solo users.

For self-hosted deployments, Mintplex Labs says it does not host, store or access instance documents, chats, workspace settings or embeddings; they remain on the user's infrastructure. Telemetry is optional and anonymous, excludes document content and chat logs, and can be disabled in settings. These controls suit privacy-conscious users, but local and self-hosted use still require choosing and maintaining a deployment and model setup.

Pricing

The free Desktop plan costs nothing and includes no account, no API key and no token limits. It is the clearest choice for an individual who wants to run the assistant locally without a paid subscription.

The Self-hosted plan is custom pricing and provides Docker-based open-source deployment. It fits teams or technically capable users who want to keep the instance on their own infrastructure. The core is MIT-licensed, but the plan price is not given.

Basic costs $50 a month, billed monthly. It includes a private instance, custom subdomain, RAG, agents and the ability to bring an LLM API key. It is the entry point for a private cloud instance, but users supply the model API key.

Pro costs $99 a month, billed monthly. It includes a private instance, RAG, agents, priority resources and a 72-hour support SLA. Choose it when priority resources and a defined support response matter; Basic is cheaper but does not include those stated Pro benefits.

Enterprise has custom pricing and offers on-premise deployment, a custom SLA, custom integrations, SSO and RBAC. It is the fit for organizations that need those controls, rather than a published fixed-price tier.

Platforms

AnythingLLM supports Android, Linux, macOS, self-hosted, web and Windows, as well as an API. Native desktop builds cover macOS with Apple Silicon or Intel, Windows with x64 or ARM, and Linux. Windows documentation targets Windows 11 and a Windows Home user account; other Windows versions may not work, so older Windows installations are a poor assumption for deployment.

Who it's for

AnythingLLM is a strong match for individuals who want local document and meeting assistance with flexible model choices, and for teams that need a private cloud or on-premise instance with administrative controls. It is less suited to someone who wants a single low-effort team plan with a published, all-inclusive price: cloud starts at $50 a month, while the larger deployment options use custom pricing.

Pros and cons

Pros: Free desktop use needs no account or API key and has no token limit, making local experimentation possible without a subscription.

Pros: The desktop combines document knowledge, web and file-system capabilities, background jobs, agent skills and local meeting processing.

Pros: Broad local and hosted model support gives users room to choose a runtime or provider.

Pros: Self-hosted data remains on the user's infrastructure, with optional telemetry that can be disabled.

Cons: The cloud Basic tier requires the customer to bring an LLM API key, and costs $50 a month billed monthly.

Cons: Pro costs $99 a month billed monthly; Enterprise and Self-hosted use custom pricing, limiting straightforward cost comparison.

Cons: Windows support targets Windows 11 and a Home user account, with other versions potentially unsupported.

Alternatives

Flowise is worth considering for a free hosted starting point: its free plan allows 2 Flows & Assistants, 100 predictions per month and 5MB storage, with evaluations and metrics and a custom embedded chatbot.

PrivateGPT is a free, open-source alternative for readers comparing another local and self-hosted approach.

RAGFlow may suit a small team that prefers a defined free hosted allowance, with five apps, one team member, 0.1 GB dataset storage and 500 credits per month; its free plan does not provide an API key.

txtai is a free Apache 2.0 option for developers who want to install with pip or run through Docker.

Haystack Enterprise Platform is another option for readers comparing an enterprise platform with a free trial.

I3K RAG Enterprise offers a free AGPL-3.0 self-hosted Community plan for Linux x86_64, ARM64 or Windows.

Google Cloud Agent Evaluation is an alternative for readers focused on agent evaluation, with usage-based charges for computation-based metrics.

Haystack is a free open-source Python framework for readers who want a framework rather than AnythingLLM's desktop assistant and deployment options.

Verdict

Choose AnythingLLM if you want an adaptable AI assistant that can keep documents and meeting processing local, with mobile and managed deployment options when your needs grow. Its free desktop tier and wide model support are compelling; look elsewhere if you need a fixed, low-cost team plan or cannot accommodate the Windows 11 constraint.