Own your intelligence: a private AI assistant that runs entirely on your machine
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, AnythingLLM (anythingllm.com) is an AI platform indexed under Large Language Models (LLMs) generating 512.27K monthly visits with a month-over-month traffic delta of +58.62K (+12.9%). Its primary geographic market is United States (21.4% traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include Open WebUI (804.53K visits/mo), LibreChat (346.88K visits/mo), Jan (291.89K visits/mo).
Running local docs through RAG without handing my data to some cloud API is finally smooth.
Desktop app eats RAM when indexing huge PDFs, but privacy makes it totally worth it.
God tier.
Hooked Ollama up to this in five minutes and never looked back.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Drop files, notes or sites into a workspace and every document becomes part of the agent's knowledge base without leaving your device.
Records, transcribes and summarizes any meeting locally, delivering action items, key decisions and full transcripts when the call ends.
Run bundled local models or connect cloud and API providers, and switch between them per workspace or take advantage of dynamic model selection.
Schedule recurring work and define custom agent skills so routine tasks run themselves.
MIT-licensed with a desktop app, Android app, cloud offering and self-hosted multi-user deployment via Docker or your own infrastructure.
AnythingLLM is a private AI assistant designed around a single idea: you shouldn't rent your own intelligence. It runs on your laptop, desktop or a server you control, giving you a chat and agent workspace with document knowledge, web search, background jobs and custom skills — with no account, no mandatory API keys and no token meter running in the background. After downloading a single installer you pick a model, either one bundled locally or one auto-recommended for your hardware, and start working in a few clicks.
Its standout capability is a fully on-device Meeting Assistant. It listens to calls locally, transcribes them, and produces summaries, action items and key decisions without a bot joining the meeting and without sending audio to a cloud service. Combined with document knowledge and background jobs, that turns meeting context into searchable material that later chats and agents can draw on. A Magic dictation feature works in the other direction, refining speech into text in real time while staying aware of what's on screen.
The project is open source under the MIT license, with a large contributor community and millions of downloads, and it scales from a single desktop install to a self-hosted multi-user deployment on your own servers. AnythingLLM's product line now spans the desktop app, an Android app that runs small models on-device and pairs with your desktop, and a hosted cloud option for teams that prefer not to manage infrastructure.
Point a workspace at reports, contracts or research files and ask questions grounded in those sources, all processed on your device.
Let the Meeting Assistant capture every call locally, then reuse the summaries and decisions as context in later questions.
Deploy a multi-user instance on your own servers so sensitive material never leaves your infrastructure.
Use background jobs, custom skills and the developer API to fit the agent to your own workflows and pipelines.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | AnythingLLM | 512.27K | +12.9% | 39% direct | Freemium | Current |
| 1 | Open WebUI Provides a richer web UI and multi-user management, but requires slightly more complex Docker deployment than AnythingLLM. | 804.53K | -2.8% | 37% direct | Freemium | vs Open WebUI |
| 2 | LibreChat Offers advanced multi-model management and agent tools, but lacks AnythingLLM's out-of-the-box dedicated document workspace focus. | 346.88K | -3.5% | 37% direct | Free | vs LibreChat |
| 3 | Jan Delivers a simpler offline desktop experience for local models, but has less robust multi-document RAG workspace features. | 291.89K | -9.6% | 36% direct | Free | vs Jan |
| 4 | Ollama Functions as a lightweight local model runner backend, but requires a separate chat interface like AnythingLLM for document RAG. | 9.42M | +4.3% | 43% direct | Free, Freemium, Paid | vs Ollama |
| 5 | Msty Provides a polished local desktop workspace for chatting with models, but lacks AnythingLLM's extensive multi-user server capabilities. | 1.58K | -81.1% | 33% direct | Freemium, Paid | vs Msty |
| 6 | LobeHub Features a highly customizable agent and plugin workspace, but is less focused on traditional local document RAG workflows. | 654.55K | -25% | 30% direct | Freemium | vs LobeHub |
Free / Open-sourceProvides a richer web UI and multi-user management, but requires slightly more complex Docker deployment than AnythingLLM.
Free / Open-sourceProvides a richer web UI and multi-user management, but requires slightly more complex Docker deployment than AnythingLLM.
Free / Open-sourceOffers advanced multi-model management and agent tools, but lacks AnythingLLM's out-of-the-box dedicated document workspace focus.
Free / Open-sourceOffers advanced multi-model management and agent tools, but lacks AnythingLLM's out-of-the-box dedicated document workspace focus.
Free / Open-sourceDelivers a simpler offline desktop experience for local models, but has less robust multi-document RAG workspace features.
Free / Open-sourceDelivers a simpler offline desktop experience for local models, but has less robust multi-document RAG workspace features.
Free / Open-sourceFunctions as a lightweight local model runner backend, but requires a separate chat interface like AnythingLLM for document RAG.
Free / Open-sourceFunctions as a lightweight local model runner backend, but requires a separate chat interface like AnythingLLM for document RAG.
Provides a polished local desktop workspace for chatting with models, but lacks AnythingLLM's extensive multi-user server capabilities.
Free / Open-sourceFeatures a highly customizable agent and plugin workspace, but is less focused on traditional local document RAG workflows.
SpecialistSupports local text, vision, and transcription models, but offers less mature document embedding and workspace management.
SpecialistSupports local text, vision, and transcription models, but offers less mature document embedding and workspace management.
Focuses on private RAG across documents and emails, but lacks AnythingLLM's mature multi-tenant workspace architecture.
Focuses on private RAG across documents and emails, but lacks AnythingLLM's mature multi-tenant workspace architecture.
Provides local data storage and unified chat, but lacks AnythingLLM's dedicated multi-document embedding pipelines and workspace management.
Provides local data storage and unified chat, but lacks AnythingLLM's dedicated multi-document embedding pipelines and workspace management.
SpecialistSpecializes in local audio transcription and meeting summaries, but lacks AnythingLLM's broad general-purpose document RAG capabilities.
SpecialistSpecializes in local audio transcription and meeting summaries, but lacks AnythingLLM's broad general-purpose document RAG capabilities.
SpecialistOffers advanced developer frameworks for custom RAG pipelines, but lacks AnythingLLM's ready-to-use user-facing chat application interface.
SpecialistOffers advanced developer frameworks for custom RAG pipelines, but lacks AnythingLLM's ready-to-use user-facing chat application interface.
SpecialistProvides local personal agent workflows and messaging integrations, but has a less established document workspace interface.
