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Mobile & Edge LLMs

AnythingLLM Mobile Review (2026): On-Device Chat + RAG

·11 min read·By Hans Kuepper · Founder of PromptQuorum, multi-model AI dispatch tool · PromptQuorum
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**AnythingLLM Mobile is a free, MIT-licensed Android app that works two ways: standalone, running a small hand-picked language model plus a local vector database entirely on the phone for offline document chat and RAG, or connected, syncing chats, workspaces, and documents with a self-hosted AnythingLLM Desktop or AnythingLLM Cloud instance over the local network via QR-code pairing.** It is built by Mintplex Labs, the company behind the open-source AnythingLLM desktop/server project, and published on GitHub under the MIT license. As of this review, the app is available only on Google Play for Android; there is no iOS release on the App Store yet.

AnythingLLM Mobile is a free, MIT-licensed Android app from Mintplex Labs that runs a small language model and a local vector database directly on the phone for offline document chat, and can optionally pair with a self-hosted AnythingLLM Desktop or AnythingLLM Cloud instance over the local network for the full desktop feature set. This review covers exactly how the standalone on-device mode differs from the connected mode, real platform availability (Android is live; iOS is not yet released), pricing for the mobile app versus the separately priced AnythingLLM Cloud service, and who should — and should not — install it.

AnythingLLM Mobile Review (2026): On-Device Chat + RAG

Key Takeaways

  • Free and open source (MIT license); mobile source code is public on GitHub.
  • Dual-mode: standalone on-device inference (Cactus Compute runtime, bundled GGUF model, local vector DB) or connected mode paired with a self-hosted Desktop/Cloud instance via QR code.
  • Android only at review time — available on Google Play and as a direct APK; no iOS App Store release yet.
  • Built by Mintplex Labs, a Y Combinator company also responsible for the desktop/server AnythingLLM project.
  • The mobile app itself has no subscription; AnythingLLM Cloud, the separate hosted-server product some users pair with, starts at $50/month.

📍 In One Sentence

AnythingLLM Mobile is a free, MIT-licensed Android app from Mintplex Labs that runs a small language model on-device for offline document chat, and can also connect to a self-hosted AnythingLLM Desktop or Cloud instance for the full feature set.

💬 In Plain Terms

It is not just a remote-control app for a server, and it is not a fully self-contained replacement for the desktop app either — it is both a standalone offline AI on your phone and an optional companion screen for a desktop or cloud AnythingLLM instance you already run, and you choose which mode fits a given task.

📌Note: This review is based on the public AnythingLLM Mobile GitHub repository, the official mobile documentation, the Google Play listing, and anythingllm.com, checked in September 2026. PromptQuorum has not conducted independent hands-on benchmarking of AnythingLLM Mobile for this review — performance figures below are general local-LLM hardware guidance, not measurements specific to this app.

What Is AnythingLLM Mobile?

**AnythingLLM Mobile is an Android app, published under the MIT license, that lets a phone chat with a language model and with uploaded documents without depending on a cloud API.** It is a separate codebase from the desktop/server AnythingLLM project, built specifically for React Native, though both projects come from the same company and share the AnythingLLM name and workspace concept.

The app is best understood as two products in one: a standalone on-device AI assistant that works with zero setup and zero account, and a mobile front end for a self-hosted AnythingLLM instance for users who already run the desktop app, Docker container, or AnythingLLM Cloud subscription and want the same workspaces, chat history, and documents on their phone.

Who Built AnythingLLM Mobile?

**AnythingLLM Mobile is built by Mintplex Labs, the company founded by Timothy Carambat that also created the original desktop and server versions of AnythingLLM.** Mintplex Labs was founded in 2022, is based in Irvine, California, and went through Y Combinator's Summer 2022 batch, raising pre-seed funding from Y Combinator, Goodwater Capital, UpHonest Capital, and Orange DAO.

The flagship desktop/server AnythingLLM project — an open-source, self-hostable "all-in-one AI application" for chatting with documents and building custom agents — predates the mobile app by several years and has its own large GitHub following, covered in detail in PromptQuorum's AnythingLLM vs. PrivateGPT vs. Open WebUI comparison. AnythingLLM Mobile is a newer, separate React Native codebase that extends the same workspace and RAG concepts to a phone.

Does AnythingLLM Mobile Run On-Device or Connect to a Server?

AnythingLLM Mobile supports both an on-device standalone mode and a connected mode that pairs with a separately hosted AnythingLLM instance — it is not exclusively one or the other, and which mode is active changes what the app can do. Confusing the two matters: a user expecting fully offline, zero-setup AI gets that from standalone mode, while a user expecting the full desktop feature set (custom agent tools, larger document workspaces) needs the connected mode and a running Desktop, Docker, or Cloud instance to pair with.

In standalone mode, per Mintplex Labs' own mobile documentation and the app's GitHub repository, the phone downloads a small, hand-picked GGUF language model and runs it locally using Cactus Compute, a llama.cpp-based inference engine built for React Native. A small embedding model and a local vector database also run on-device, so uploaded documents can be chunked, embedded, and searched for RAG entirely offline. No account, no API key, and no internet connection are required to chat once the model is downloaded.

In connected mode, the phone does not run inference itself for that workspace — it pairs with an AnythingLLM Desktop app, self-hosted Docker instance, or AnythingLLM Cloud subscription over the local network (or internet, for Cloud) by scanning a QR code shown under that instance's Settings > Tools > AnythingLLM Mobile panel. The desktop instance must have "Enable network discovery" turned on under Settings > Admin > General for local-network pairing to work. Once paired, chats, workspaces, threads, and custom agent tools sync between the phone and the connected instance, and the LLM/embedding/RAG work happens wherever that instance is running — not on the phone.

Which mode should you use?

Use a local LLM if:

  • •You want AI chat and document RAG that works offline with zero account, zero server, and zero setup.
  • •You are testing whether on-device AI is fast enough on your specific Android phone before committing to anything more involved.
  • •You do not already run — and do not want to run — a desktop or server AnythingLLM instance.

Use a cloud model if:

  • •You already run AnythingLLM Desktop, Docker, or AnythingLLM Cloud and want the same workspaces and chat history on your phone.
  • •You need custom agent tools, larger document libraries, or a more capable model than a phone can practically run.
  • •You want multiple devices (phone plus desktop) to stay in sync with one shared workspace.

Quick decision:

  • →If unsure, start with standalone mode — it needs nothing else to be running.
  • →Switch to connected mode only once you already have a Desktop, Docker, or Cloud instance to pair with.

How to Get Started with AnythingLLM Mobile

**Setup differs depending on which mode you want, per the app's own mobile documentation.** Standalone mode needs nothing beyond installing the app; connected mode needs an existing AnythingLLM Desktop, Docker, or Cloud instance to pair with.

  1. 1
    Install the app
    Why it matters: Download AnythingLLM Mobile from [Google Play](https://play.google.com/store/apps/details?id=com.anythingllm) or as a direct APK from [anythingllm.com/mobile](https://anythingllm.com/mobile). No account or email sign-up is required to open the app.
  2. 2
    Choose standalone mode for offline use
    Why it matters: On first launch, the app offers hand-picked on-device models to download. Pick one sized for your device's RAM (see the hardware section below) and start chatting — no further setup is needed for basic chat and document upload.
  3. 3
    Or pair with a self-hosted instance for connected mode
    Why it matters: If you already run AnythingLLM Desktop, Docker, or Cloud, enable "network discovery" under that instance's Settings > Admin > General, then open Settings > Tools > AnythingLLM Mobile in the desktop UI to display a pairing QR code.
  4. 4
    Scan the QR code from the mobile app
    Why it matters: In AnythingLLM Mobile, use the pairing/scan option to connect to the desktop or Cloud instance. Once paired, that instance's workspaces, chats, and threads become available in the mobile app, and updates sync between devices.

How Does Document Chat and RAG Work on Mobile?

Standalone (on-device)

Inference location:
On the phone, via Cactus Compute (llama.cpp-based runtime for React Native)
RAG / document handling:
Local embedding model + on-device vector database; documents are chunked, embedded, and searched entirely offline

Connected (paired instance)

Inference location:
On the paired AnythingLLM Desktop, Docker host, or Cloud instance
RAG / document handling:
Uses that instance's configured vector database and embedding model — the same RAG pipeline as the desktop app, synced to mobile

A workspace created in one mode does not automatically become the other — a document uploaded to a standalone on-device workspace stays local to that phone unless you switch to a connected workspace paired with a Desktop/Cloud instance.

Is AnythingLLM Mobile Available on iPhone?

Android

Availability:
Available on Google Play and as a direct APK download
Notes:
This is the only shipping mobile platform at review time.

iPhone / iPad (iOS)

Availability:
Not released — no App Store listing found for AnythingLLM Mobile at review time
Notes:
iOS support has been publicly discussed on the project's GitHub issue tracker, but PromptQuorum found no official App Store release or Mintplex Labs announcement confirming a ship date. Do not assume iOS availability based on other sites' coverage — verify directly on the App Store before expecting it.

Mac / Windows / Linux

Availability:
Not applicable — those platforms run the separate AnythingLLM Desktop app or Docker container, not the mobile app
Notes:
iPhone users who want AnythingLLM today should use the desktop app on a Mac, or a different mobile app such as PocketPal AI or Private LLM.

How Much Does AnythingLLM Mobile Cost?

AnythingLLM Mobile itself is free to download and free to use in standalone on-device mode, with no subscription and no in-app purchase found in the app's public documentation or Play Store listing. The mobile app's source code is MIT-licensed and public on GitHub.

Cost only enters the picture through what you pair the connected mode with. Running your own AnythingLLM Desktop app or Docker container to pair with is free and open source, the same as the mobile app. If you would rather not self-host, Mintplex Labs sells AnythingLLM Cloud as a separately hosted service: a Basic tier at $50/month with a private instance and custom subdomain, a Pro tier at $99/month adding a 72-hour support SLA aimed at larger teams, and a custom-quoted Enterprise tier with on-premise deployment, SSO, and RBAC. Both paid Cloud tiers require the user to supply their own LLM API key rather than including model costs.

  • Mobile app (standalone mode): Free, MIT-licensed open source, no subscription found.
  • Mobile app (connected mode): Free to use the pairing feature itself; cost depends entirely on what you pair with.
  • Self-hosted Desktop/Docker to pair with: Free and open source, same as the mobile app.
  • AnythingLLM Cloud Basic: $50/month — private instance, custom subdomain, bring-your-own LLM API key.
  • AnythingLLM Cloud Pro: $99/month — adds a 72-hour support SLA, aimed at larger teams.
  • AnythingLLM Cloud Enterprise: Custom pricing — on-premise deployment, SSO, RBAC, custom integrations.

What Features Does AnythingLLM Mobile Have?

Feature availability depends on which mode is active — some capabilities only exist in connected mode, per the project's own mobile documentation. These include:

  • On-device chat. Chat with a locally downloaded model with no internet connection required after the initial download.
  • Offline document RAG. Upload documents to a standalone workspace and get answers with citations, using the on-device embedding model and vector database.
  • Workspace sync (connected mode only). Chats, threads, and workspaces created on a paired Desktop, Docker, or Cloud instance sync to the phone and back.
  • Custom agent tools (connected mode only). Tool-calling agent capabilities configured on the desktop instance carry over to mobile once paired; the standalone on-device mode does not support custom tool configuration.
  • QR-code pairing. Connecting to a self-hosted instance uses a QR code shown in that instance's settings, rather than manually entering server addresses and credentials.
  • No account requirement for standalone use. Chatting and document RAG in standalone mode does not require creating an account with Mintplex Labs.

What Hardware Do You Need to Run AnythingLLM Mobile?

Standalone on-device mode depends on the phone's own RAM and CPU/NPU, the same as any other GGUF-based mobile chat app — Mintplex Labs has not published exact per-model RAM requirements for the hand-picked standalone models, so general local-LLM sizing guidance applies. As a rule of thumb for quantized GGUF models on phones, a small model in the 1–3B parameter range needs roughly 2–3 GB of free RAM, and models above that size need proportionally more.

Connected mode has essentially no phone-side hardware requirement for inference, since the language model runs on the paired Desktop, Docker host, or Cloud instance — the phone only needs enough resources to run the app UI and sync data, and hardware requirements shift instead to whatever machine hosts the connected AnythingLLM instance.

  • Standalone mode: budget 2–3 GB+ free RAM for the smallest bundled models; larger on-device models need more.
  • Storage: several hundred megabytes to a few gigabytes of free device storage per downloaded on-device model.
  • Connected mode: the phone's hardware is not the bottleneck — check the hardware guidance for whatever machine runs your Desktop, Docker, or Cloud instance instead.
  • Network: standalone mode works fully offline after model download; connected mode needs a shared local network (or internet, for Cloud) to reach the paired instance.

Who Should Use AnythingLLM Mobile

  • Android users who want a genuinely free, offline AI chat and document RAG app. Standalone mode needs no account, no server, and no subscription, which fits users who want private on-device AI with minimal setup.
  • Existing AnythingLLM Desktop, Docker, or Cloud users who want the same workspaces on their phone. Connected mode's sync is the clear draw for anyone already invested in the desktop/server AnythingLLM ecosystem.
  • Users comfortable choosing between two distinct modes. Getting full value out of the app means understanding when to use standalone versus connected mode, which suits technically curious users more than someone wanting one single fixed behavior.
  • Teams that want a mobile front end without self-hosting. Pairing an Android phone with a paid AnythingLLM Cloud instance gives mobile access to shared workspaces without running any infrastructure personally.

Who Should Not Use AnythingLLM Mobile

  • iPhone and iPad users. There is no iOS release at review time; use Private LLM or PocketPal AI instead for Apple devices.
  • Users who want one simple mode with no decisions to make. The standalone/connected split is a real design choice a user has to understand; someone who wants a single guided experience with a curated model list and no server-pairing concept may prefer PocketPal AI or Loci.
  • Users who want full custom agent tools without running any server. Custom agent tool configuration is tied to the connected mode in this app's current design — someone who wants that capability fully on-device today should look elsewhere.
  • Users needing enterprise support with no cost. Community support is free, but a support SLA requires a paid AnythingLLM Cloud Pro or Enterprise subscription, not the mobile app alone.
  • Users who want the largest possible on-device models. Standalone mode is built around small, hand-picked models suited to phone RAM; users who need larger models should either use connected mode with a capable desktop instance or a desktop/workstation setup directly.

AnythingLLM Mobile vs. Alternatives

AnythingLLM Mobile

On-device vs. client:
Both — standalone on-device inference, or connected client to a self-hosted instance
Platforms:
Android only
License / cost:
Free, open source (MIT); paired Cloud service from $50/month
Articles about AnythingLLM Mobile (1)

Also mentioned in:

AnythingLLM Desktop/Server

On-device vs. client:
Runs the LLM and RAG pipeline itself, locally or via API
Platforms:
Mac, Windows, Linux, Docker
License / cost:
Free, open source (MIT); Cloud hosting from $50/month

PocketPal AI

On-device vs. client:
On-device only — no server/client mode
Platforms:
iPhone/iPad, Android
License / cost:
Free, open source (MIT)

Private LLM

On-device vs. client:
On-device only — no server/client mode
Platforms:
iPhone/iPad/Mac (Apple only)
License / cost:
Paid, one-time purchase; closed source

LLM Farm

On-device vs. client:
On-device only, via llama.cpp
Platforms:
iPhone/iPad
License / cost:
Free, open source; App Store availability has reportedly changed over time — verify current listing before assuming it installs
Articles about LLM Farm (4)

Also mentioned in:

Layla

On-device vs. client:
On-device only, plus optional remote API providers
Platforms:
Android, iPhone/iPad
License / cost:
Free tier plus paid tiers; closed source
Articles about Layla (3)

Also mentioned in:

Maid

On-device vs. client:
On-device only, via llama.cpp; also supports remote Ollama/OpenAI-compatible endpoints
Platforms:
Android, iPhone/iPad
License / cost:
Free, open source (MIT)
Articles about Maid (4)

Also mentioned in:

RikkaHub

On-device vs. client:
Both — local on-device inference via a LiteRT provider, plus multi-provider cloud client
Platforms:
Android
License / cost:
Free, open source
Articles about RikkaHub (1)

Also mentioned in:

AnythingLLM Mobile and RikkaHub are the two apps in this table with a genuine dual on-device/client design; every other row runs strictly on-device or strictly as a client, which is the key distinction to check before installing based on a single feature list. Verify current App Store/Play Store listings directly before installing any app in this table, since availability changes.

Frequently Asked Questions

Does AnythingLLM Mobile run AI models on the phone itself?

Yes, in standalone mode. The app downloads a small, hand-picked GGUF language model and runs it on-device via Cactus Compute, a llama.cpp-based inference runtime for React Native, alongside a local embedding model and vector database for offline document RAG. Separately, the app also supports a connected mode that pairs with a self-hosted AnythingLLM Desktop or Cloud instance, where inference happens on that paired instance instead of the phone.

Is AnythingLLM Mobile available for iPhone?

No. As of this review, AnythingLLM Mobile has no App Store listing and is available only for Android via Google Play or a direct APK download. iOS support has been discussed on the project's GitHub issue tracker, but there is no official Mintplex Labs announcement confirming a release date.

Is AnythingLLM Mobile free?

Yes, the mobile app itself is free and open source under the MIT license, with no subscription for standalone on-device use. If you use connected mode to pair with a hosted AnythingLLM Cloud instance rather than self-hosting, that separate Cloud service has paid tiers starting at $50/month — but the mobile app and self-hosted Desktop/Docker options remain free.

Who makes AnythingLLM Mobile?

AnythingLLM Mobile is built by Mintplex Labs, a company founded in 2022 by Timothy Carambat and based in Irvine, California. Mintplex Labs went through Y Combinator's Summer 2022 batch and also builds the desktop/server AnythingLLM application.

What license is AnythingLLM Mobile released under?

AnythingLLM Mobile is released under the MIT license, a permissive open-source license, and its source code is public on GitHub. The desktop/server AnythingLLM project it can connect to is also MIT-licensed.

How do I connect AnythingLLM Mobile to my desktop instance?

Enable "network discovery" in your AnythingLLM Desktop, Docker, or Cloud instance under Settings > Admin > General, then open Settings > Tools > AnythingLLM Mobile to display a pairing QR code. Scan that code from within the AnythingLLM Mobile app to connect. Once paired, workspaces, chats, and threads sync between the phone and the connected instance.

Does AnythingLLM Mobile need an internet connection?

Not for standalone mode after the initial model download — inference and document RAG run entirely on-device. Connected mode needs a shared local network to reach a self-hosted Desktop or Docker instance, or an internet connection to reach a hosted AnythingLLM Cloud instance.

Can AnythingLLM Mobile chat with my documents?

Yes, in both modes. In standalone mode, documents are chunked, embedded, and searched using an on-device embedding model and local vector database, entirely offline. In connected mode, the paired Desktop, Docker, or Cloud instance handles document RAG using its own configured vector database and embedding model, the same as the desktop app.

What is the difference between AnythingLLM Mobile and the desktop AnythingLLM app?

AnythingLLM Mobile is a separate Android app built for phones, with its own standalone on-device inference mode in addition to the ability to connect to a desktop instance. The desktop/server AnythingLLM application, covered in PromptQuorum's AnythingLLM vs. PrivateGPT vs. Open WebUI comparison, runs on Mac, Windows, Linux, or Docker and supports a wider range of LLM providers, vector databases, and agent configurations than the mobile app's standalone mode.

How does AnythingLLM Mobile compare to PocketPal AI or Private LLM?

PocketPal AI and Private LLM are on-device-only mobile chat apps with no server-connection mode; AnythingLLM Mobile is the only app in this comparison with a genuine dual design — standalone on-device inference plus an optional connected mode to a self-hosted or cloud AnythingLLM instance. Choose AnythingLLM Mobile if you want that flexibility or already use desktop AnythingLLM; choose PocketPal AI (free, iPhone/Android) or Private LLM (paid, Apple-only) if you specifically want an iPhone app, since AnythingLLM Mobile is Android-only.

Verdict

AnythingLLM Mobile's dual design — a genuine standalone on-device mode alongside an optional connected mode — is unusual in this category, where most mobile AI apps commit fully to one architecture or the other. That flexibility is also the app's biggest catch for a first-time user: understanding which mode is active, and what each mode can and cannot do, takes more upfront attention than a single-purpose app like PocketPal AI or Private LLM. The bigger limitation right now is platform: AnythingLLM Mobile is Android-only, with no App Store release and no confirmed ship date for iOS. Choose AnythingLLM Mobile if you are on Android and either want free offline AI with zero setup, or already run AnythingLLM Desktop, Docker, or Cloud and want the same workspaces on your phone. Choose Private LLM or PocketPal AI instead if you need an iPhone app, and choose the desktop AnythingLLM application directly if you do not need a mobile client at all.

Sources

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