AnythingLLM is live · free plan, paid from $50/mo · last verified 24 Oct 2026 · viability healthy
AnythingLLM
AnythingLLM is an MIT-licensed private AI assistant that runs document chat, meeting notes, and dictation on your own computer.
Start with the free desktop download before comparing anything else. Local document chat, on-device meeting transcription and an agent builder in one MIT-licensed package is a hard combination to beat at $0, and the 2026 releases (default You.com search, Foundry Local on Windows, the rebuilt Meeting Assistant) removed most of the setup friction that used to push people toward LM Studio, Ollama front-ends or Granola. Treat the free app and the hosted Cloud ($50/month Basic, $99/month Pro) as two separate buying decisions — Basic still requires your own LLM API key.
Verdict generatedVerified 6d ago · liveness 83/100 · cite: rightaichoice.com/tools/anything-llm
- Knowledge workers whose sensitive documents cannot leave their machine
- Developers who want an MIT-licensed, API-extensible local agent
- Teams wanting a self-hosted multi-user workspace with tenant isolation
- Windows users with an NPU or GPU who want local models via Foundry Local
- Buyers who want a fully managed SaaS with zero hardware or setup work
- Regulated orgs needing SSO and RBAC, which require the Enterprise quote
- Teams that need a bot visibly joining calls or deep meeting-platform integrations
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Skip AnythingLLM if you want a fully managed service where someone else handles model selection, upgrades and hardware — the free desktop app expects you to pick a model and manage disk space yourself.
Cloud Basic is $50/month but doesn't include a model — you still pay your LLM provider for the API key you bring.
The free desktop app undercuts essentially every hosted AI subscription, and self-hosted Docker is free for small teams. Cloud at $50/month Basic and $99/month Pro sits in ChatGPT Business territory but excludes the model, which you pay for separately via your own API key. Solo users are better off on the desktop app; only teams that need a shared hosted instance should price Cloud against self-hosting.
In short
AnythingLLM — AnythingLLM is an MIT-licensed private AI assistant that runs document chat, meeting notes, and dictation on your own computer. Best for Knowledge workers whose sensitive documents cannot leave their machine, Developers who want an MIT-licensed, API-extensible local agent, Teams wanting a self-hosted multi-user workspace with tenant isolation. Free to start; paid plans from $50/mo.
What is AnythingLLM?
AnythingLLM — AnythingLLM is an MIT-licensed private AI assistant that runs document chat, meeting notes, and dictation on your own computer. Best for Knowledge workers whose sensitive documents cannot leave their machine, Developers who want an MIT-licensed, API-extensible local agent, Teams wanting a self-hosted multi-user workspace with tenant isolation. Free to start; paid plans from $50/mo.
AnythingLLM is a private AI assistant that runs on your own hardware instead of a vendor's servers. The desktop app ships as a single file for macOS, Windows and Linux with no dependencies, and you choose the model: the built-in engine now runs llama.cpp managed by AMD's Lemonade (a move away from Ollama as of October 2026), with cloud routing to OpenAI, Azure, AWS and Anthropic when you want it. No account, no API key, no token meter on the free desktop app. Document Knowledge turns PDFs, Word files, CSVs and code into a private RAG knowledge base without data leaving the machine, and web scraping plus search pull in pages that aren't files yet. Dynamic Model Selection auto-recommends a model for your hardware, and you can override it. Web search is on from the first chat with no API key: since September 2026 You.com's real-time search is the default. The productivity layer carries the 2026 releases. Meeting Assistant transcribes and summarizes calls entirely on your computer, with no bot joining the room; v1.17.0 rebuilt it on NVIDIA Nemotron 3 Diarization and Moondream Parakeet Redux with speaker labels and a 3x smaller download. Magic Echo handles dictation refined in real time with context-aware autocomplete at your cursor. Background Jobs run recurring automation, and a custom agent skill builder plus a developer API let you embed the assistant in your own stack. Since v1.16.1, Microsoft Foundry Local lets any Windows PC run models on CPU, GPU or NPU without extra installation. Mobile is a real companion: AnythingLLM Mobile runs small models fully on-device with web search, document chat, file generation, scheduled jobs and memory, then pairs with your desktop for larger models and full workspaces. For teams, self-hosting with Docker is free with tenant isolation, admin controls and white-labeling; the hosted Cloud starts at $50/month for Basic (you bring your own LLM API key) and $99/month for Pro, with Enterprise quoted.
Key features
- On-device AI assistant with no account or API key required
- Document Knowledge base for PDF, Word, CSV and code files
- Local RAG so documents never leave your device
- Dynamic Model Selection that recommends a model for your hardware
- Built-in engine running llama.cpp managed by AMD's Lemonade (October 2026)
- You.com real-time web search by default with no API key (September 2026)
- Microsoft Foundry Local support on Windows CPU, GPU and NPU (v1.16.1)
- Meeting Assistant with local transcription, summaries and action items
- Meeting Assistant rebuilt on NVIDIA Nemotron 3 Diarization and Moondream Parakeet Redux with speaker labels (v1.17.0)
- Magic Echo dictation refined in real time with context-aware autocomplete
- Background Jobs for recurring scheduled automation
- Custom agent skill builder for reusable tools
- Developer API for embedding AnythingLLM in your own stack
- Web scraping and search to pull non-file sources into the knowledge base
- Android app running small models on-device with desktop pairing
Behind the verdict
AnythingLLM's pitch is ownership: the desktop app runs on your machine, needs no account and no API key for the built-in engine, and the code is MIT licensed with 67k+ GitHub stars and 200+ contributors behind it. That matters most for the document case — Document Knowledge turns PDFs, Word files, CSVs and code into a local RAG workspace that never leaves your disk, and web scraping plus search pull in pages that aren't files yet. The 2026 releases are what make it a daily driver rather than a demo. Meeting Assistant records, transcribes and summarizes calls on your own computer with no bot joining, and v1.17.0 rebuilt it on NVIDIA Nemotron 3 Diarization and Moondream Parakeet Redux with speaker labels and a 3x smaller download. Magic Echo gives you dictation refined in real time with context-aware autocomplete at the cursor. Background Jobs handle recurring document summarization, and the custom agent skill builder plus developer API let you wire the assistant into your own stack. Since September 2026 You.com real-time web search is the default with nothing to configure; since v1.16.1, Microsoft Foundry Local on Windows runs models on CPU, GPU or NPU without extra installation. Where it falls short is the usual local-AI trade. You supply the hardware and the configuration: a small local model won't match a top-tier cloud model on hard reasoning, and model choice, disk space and upgrades are yours to manage. SSO, RBAC, on-premise deployment and custom SLAs sit behind the Enterprise quote, so security-conscious teams can't get them on the $50/month Basic or $99/month Pro Cloud tiers, and Basic still requires you to bring your own LLM API key on top of the subscription. Choose it over LM Studio or a bare Ollama front-end when you want workspaces, agents and meeting capture in one app rather than a model runner. Choose it over Granola or Wispr Flow when you want one MIT-licensed tool covering meetings, dictation and document chat instead of three subscriptions. Skip it if you want a fully managed service with zero setup and no hardware decisions.
Models under the hood
as of 2026-10-23
Limitations
- You supply the hardware and the configuration.
- The desktop app runs on-device with no account or API key, but a small local model won't match a top-tier cloud model on hard reasoning, and model choice and tuning are yours to manage.
- Meeting Assistant works across meeting platforms without a bot joining and transcribes locally, but there's no bot visibly in the room.
- SSO, RBAC, on-premise deployment and custom SLAs are Enterprise-tier features, so security-conscious teams can't get them on Basic at $50/month or Pro at $99/month.
- Cloud Basic still requires you to bring your own LLM API key on top of the subscription.
as of 2026-10-24
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Is AnythingLLM still active?
AnythingLLM is live · free plan, paid from $50/mo · last verified 24 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is AnythingLLM? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What's new in AnythingLLM
Checked 10 days agoAcross the latest 3 updates: 2 feature updates and 1 launch.
AnythingLLM and You.com bring real-time web search to everyone
You.com web search is now the default in AnythingLLM, working from the first chat with no API key and nothing to set up.
AnythingLLM now runs Microsoft Foundry Local on every Windows PC
Starting in v1.16.1, AnythingLLM can tap into Foundry Local to run models on the CPU, GPU, and NPU of any Windows machine with no extra installation.
Your laptop can take meeting notes now. Stop paying someone else to do it.
Meeting Assistant records, transcribes, and summarizes every meeting on your own computer, indexes it into your context, and never charges you.
What do users say about AnythingLLM?
What people actually say about AnythingLLM — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
Researched66 mentions across 5 sources (Hacker News, YouTube, Product Hunt, Stack Overflow, Lemmy) · researched Aug 24, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Fully private, on-device AI—no accounts, API keys, or token limits.
- +Replace Google search for personal research with local RAG.
- +Support for PDFs, Word, CSV, and code via LanceDB-backed RAG.
- +Dynamic model selection—Ollama for local or OpenAI/Azure/Anthropic cloud.
- +Open source with MIT license and 64k+ GitHub stars.
- −Accuracy issues—can produce wrong answers while looking plausible.
- −High idle RAM usage (~2GB) hurts low-spec machines.
- −UI-first logic-second design limits deep customization for developers.
- −Opinionated interface may not match everyone's workflow.
- −Manual model updates needed; no automatic update for some setups.
- • Cloud/self-hosted plans add cost for multi-user and admin features
- • Running local models requires hardware investment (RAM/GPU)
- • No hidden API costs if using local models, but cloud APIs (OpenAI) incur usage fees
How we verified this
Every listed fact about AnythingLLM— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified AnythingLLM 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed limitations, switching out, pricing tiers, features, description, who should skip it, hidden costs, pricing fit, use cases, integrations, setup time, summary, our verdict, switching in, models, who it suits
- — changed features, summary, pricing tiers, description, our verdict, integrations, who should skip it, who it suits
- — changed models, pricing page
- — changed our verdict, who should skip it, pricing tiers, features, description, who it suits, summary
- — changed models, pricing page, limitations
- — changed switching out, setup time, who should skip it, description, use cases, our verdict, who it suits, features, hidden costs, integrations, limitations, summary, switching in, pricing fit, models, pricing tiers
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does AnythingLLM cost in 2026?
AnythingLLM: Free to start; paid plans from $50/mo. Pricing last verified 24 Oct 2026.
Plans compared
Every published AnythingLLM tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Desktop App | Free | — | Individuals who want private document chat, local meeting notes and dictation on their own machine without a subscription.Adds: Free entry point: single-file install, on-device RAG, Meeting Assistant, Magic Echo, Background Jobs, agent skills and the developer API. |
| Basic | $50/mo | monthly | An independent professional or small team that wants a hosted private instance without running servers themselves.Adds: Adds a hosted private instance with a custom subdomain and out-of-the-box RAG and agents at $50/month — but you bring your own LLM API key. |
| Pro | $99/mo | monthly | Teams that rely on the assistant daily and need priority resources plus a contractual support window.Adds: Adds priority resources and a 72-hour support SLA over Basic for $99/month; the model key is still yours to supply. |
| Enterprise | Custom | quote | Regulated organizations that need on-premise deployment, SSO, RBAC and a negotiated support agreement.Adds: Adds on-premise deployment, SSO, RBAC, custom integrations and a custom SLA — quoted per contract. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where AnythingLLM's pricing actually pencils out — and where peers do it cheaper.
The free desktop app undercuts essentially every hosted AI subscription, and self-hosted Docker is free for small teams. Cloud at $50/month Basic and $99/month Pro sits in ChatGPT Business territory but excludes the model, which you pay for separately via your own API key. Solo users are better off on the desktop app; only teams that need a shared hosted instance should price Cloud against self-hosting.
Has AnythingLLM's pricing changed?
No plan price for AnythingLLM has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick AnythingLLM?
Pick AnythingLLM if you are Knowledge workers whose sensitive documents cannot leave their machine, Developers who want an MIT-licensed, API-extensible local agent, Teams wanting a self-hosted multi-user workspace with tenant isolation, Windows users with an NPU or GPU who want local models via Foundry Local.
Look elsewhere if you are Buyers who want a fully managed SaaS with zero hardware or setup work, Regulated orgs needing SSO and RBAC, which require the Enterprise quote, Teams that need a bot visibly joining calls or deep meeting-platform integrations, Users who don't want to manage model downloads, disk space and upgrades.
Skip it if Skip AnythingLLM if you want a fully managed service where someone else handles model selection, upgrades and hardware — the free desktop app expects you to pick a model and manage disk space yourself.
GeneratedReal-world workflow fit
Concrete scenarios for the personas AnythingLLM actually fits — and what changes day-one when you adopt it.
Installs the single-file desktop app, lets Dynamic Model Selection pick a model for the laptop, drags in client PDFs and spreadsheets, and asks questions across the workspace.
Outcome: A private RAG knowledge base with no account, no API key and no documents leaving the machine.
Self-hosts with Docker for free, sets up isolated tenants per department with admin controls and white-labeling, and connects the model provider of choice.
Outcome: A multi-user workspace on the team's own infrastructure instead of a per-seat SaaS subscription.
Installs v1.16.1 or later, lets Foundry Local run models on the machine's CPU, GPU or NPU, and turns on Meeting Assistant so calls are transcribed and summarized on-device.
Outcome: Local inference and meeting notes on the same PC with no extra installation and no per-minute transcription bill.
Use cases
- Chat with 200 meeting-note PDFs to recall a specific decision without uploading anything.
- Build a client-specific RAG workspace that runs entirely on your laptop.
- Give a small team a shared internal wiki chatbot with no cloud dependency.
- Turn a product changelog and docs site into an internal support assistant.
- Use the developer API as a private backend for AI features in your own app.
- Automate recurring document summarization with Background Jobs.
- Record and summarize meetings locally without a bot joining the call.
- Dictate and refine notes in place with Magic Echo at your cursor.
Setup time & first value
How long it actually takes to get something useful out of AnythingLLM — broken out by persona, not the marketing-page minute.
Desktop: roughly 10–15 minutes from download to first document chat, including the model download — the single file install has no dependencies. Self-hosted Docker: an afternoon for a working multi-user instance with tenants and admin roles. Cloud Basic at $50/month: minutes to a private instance and subdomain, but you must supply an LLM API key first.
Switching to or from AnythingLLM
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Ollama-only setups: the built-in engine now runs llama.cpp via AMD's Lemonade, and Ollama remains a connectable provider.
- →From LM Studio: import the same local models and rebuild document workspaces as Document Knowledge folders.
- →From ChatGPT or Copilot: point the workspace at the same PDFs and docs so answers cite your files rather than an upload history.
- →From Granola or Otter: switch meeting capture to the local Meeting Assistant, which needs no bot in the call.
- ↗To LM Studio: keep the same local model files and use it purely as a model runner if you don't need workspaces or agents.
- ↗To Open WebUI: move to a browser-based self-hosted front end if you want a web-first team chat rather than a desktop app.
- ↗To a hosted SaaS assistant: export document workspaces and accept that answers move to a vendor's servers.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “AnythingLLM”, and we withheld 6: 6 could not be judged, because “AnythingLLM” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about AnythingLLM.
Official links
What are the best AnythingLLM alternatives?
The closest alternatives to AnythingLLM we list are Granola, AskYourPdf and Open Webui. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Granola | Freemium | Pricing not published | — |
| AskYourPdf | Freemium | Pricing not published | — |
| Open Webui | Freemium | Pricing not published | — |
Alternatives to AnythingLLM
View allGranola
An AI notepad that listens to your computer's audio and turns rough meeting jottings into structured notes — no bot in the call
AskYourPdf
Chat with PDFs in plain language, auto-fill any PDF form from your own documents, and embed a website AI agent trained on your content.
Open Webui
Open WebUI is the self-hosted AI interface for running Ollama, OpenAI, or Anthropic models on your own hardware.
Tools that pair well with AnythingLLM
Common stack mates teams adopt alongside AnythingLLM, with the specific reason each pairing earns its keep.
Granola
An AI notepad that listens to your computer's audio and turns rough meeting jottings into structured notes — no bot in the call
AskYourPdf
Chat with PDFs in plain language, auto-fill any PDF form from your own documents, and embed a website AI agent trained on your content.
Open Webui
Open WebUI is the self-hosted AI interface for running Ollama, OpenAI, or Anthropic models on your own hardware.
AnythingLLM vs its closest rival
AnythingLLM's closest head-to-head is with Cherry Studio.
Our AnythingLLM vs Cherry Studio verdict written May 12, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Head-to-head comparisons
Frequently asked questions
Categories
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