The best alternative to AnythingLLM depends on what bothered you about it. If you want more control and don't mind tinkering, Jan, LM Studio, Ollama and Open WebUI are strong picks. If you want the simplest private app for chatting with PDFs and images, with nothing to configure and one price, GreenCube is the option we built for that. Below we compare them on setup effort, privacy, cost and hardware, so you can choose without trying six downloads.
TL;DR
- AnythingLLM is a good tool. People look for alternatives mostly because setup feels technical, because it needs a model runner or API keys behind it, or because they want something simpler.
- Developers and tinkerers: look at Ollama, LM Studio, Jan or Open WebUI. You get more control, and you also manage more.
- Beginners, students and teachers who want private PDF and image help: GreenCube installs like a normal app, downloads one model once, and works offline.
- "Local" does not always mean "private." Check where chat, embeddings and license checks happen.
- Slower computers work, but answers arrive more slowly. Be honest with yourself about your RAM.
Table of Contents
- Why people look beyond AnythingLLM
- How we compared the options
- The main alternatives at a glance
- GreenCube: the simple, private, one-price option
- LM Studio: a good model playground
- Jan: open source you can inspect
- Ollama: the engine under many apps
- Open WebUI: better for a shared server
- Tools for developers and coders
- Other small private document apps
- How to tell if a "private" AI app is really private
- What your computer can really handle
- Which one should you pick?
- Our view: the best tool is the one you will actually open
- Try GreenCube on your own computer
- FAQ
- Sources
Why people look beyond AnythingLLM
AnythingLLM is an app for chatting with your documents. It is built by Mintplex Labs and, according to DataCamp's guide, released under the MIT license with an active community. That is a real strength: the code is open and it does a lot.
The same flexibility is why some people leave. One comparison of Mac tools from ModelPiper describes AnythingLLM, Open WebUI and BoltAI as interfaces that need a model runner or API keys behind them. For a beginner, that means picking a provider, connecting it, choosing a model and then loading documents. A reader in a Reddit thread described being asked to search for providers and getting stuck there.
Here are the usual reasons people shop around:
- Too many settings. Providers, embedders, vector databases and workspaces are useful, but they are a lot on day one.
- Unclear privacy. Many tools can run on a cloud model or a local one. You need to know which is active.
- Cost. Some tools are free but need a capable machine or your time. Others add cloud tiers.
- Different goal. Maybe you want coding help, a shared team server, or only a quick way to ask questions about a study PDF.
How we compared the options
We used five questions a normal person can answer:
- How hard is setup?
- Does it work with the internet off?
- Can it read your PDFs and images?
- What does it cost to own?
- What does it expect from your computer?
We describe the other tools fairly and don't link to them. Features change often, so check each project's own page before you commit.
The main alternatives at a glance
| Tool | Best for | Setup effort | Documents | Cost model |
|---|---|---|---|---|
| GreenCube | Students, teachers, privacy-minded beginners | Low: install, pick a model, download once | PDFs and images (with the All-rounder model) | €9.99 / US$9.99 once |
| LM Studio | Trying many models on a desktop | Medium | Basic document chat | Free to use per its own terms, check current terms |
| Jan | Open-source chat you can inspect | Medium | Limited | Free, open source |
| Ollama | Developers who want a model runtime | Higher: terminal | Needs another interface on top | Free, open source |
| Open WebUI | Shared, self-hosted AI for a household or team | Higher: server setup | Yes, with configuration | Free, open source |
| AnythingLLM | Document workspaces with lots of options | Medium | Strong | Free desktop, paid cloud options exist |
The table is a summary, not a test. Read the sections below for the reasoning.
GreenCube: the simple, private, one-price option
GreenCube is a private AI assistant for your own computer. There is no cloud service behind your chats, and it works with the internet off. Chats, documents and images stay on your machine.
Setup is short:
- Install the app.
- Sign in once with Google or Microsoft. This only unlocks your license. Your chats and files are not sent anywhere.
- Pick one of two models and download it once.
- Start chatting, or drop in a PDF.
The two models are:
- Quick (Llama 3.2 3B, about 2 GB). Fast, plain text only, cannot read images.
- All-rounder (Gemma 4 E4B, about 4.2 GB). Reads images, builds study guides and documents. Slower, and it needs 8 GB of RAM.
GreenCube also has four tiers: Seed, Sprout, Bloom and Thrive. They are not paid plans. They describe what a computer handles well, so you know what to expect from your own hardware. A slower computer still works, but it answers and builds apps more slowly. We would rather tell you that now than have you find out after the download.
The price is €9.99 / US$9.99, paid once, with everything included. There is no subscription, and there is a 14-day refund. You can see the details on the GreenCube buy page.
Platforms. GreenCube is built for Windows and Mac. There is no Linux version. If you are on a Mac, check the GreenCube site for the current download status before you buy.
What it does not do. We don't claim GreenCube is smarter than big cloud AI. The largest cloud models are still stronger at heavy, large-scale reasoning. We also don't claim any compliance certification. What we sell is privacy, ownership, offline use and one price.
One honest detail on "offline." The license sign-in needs the internet once. Only features you switch on yourself go online. Everything else stays on the computer.
LM Studio: a good model playground
LM Studio is a desktop app for downloading and running many different models. One review of private tools, diyai.io, calls it the strongest desktop choice for most individuals. It suits people who like to compare models, change settings and see what a given model can do.
The trade-off is choice. You decide which model to download, which size, and how to set it up. That is a plus if you enjoy it and a chore if you just want to ask a question about a PDF. On privacy, a 2026 audit at local-llm.net points out that its core is closed, so you rely on its privacy policy for what it sends. Read that policy yourself.
Jan: open source you can inspect
Jan is a free, open-source chat app that runs models on your machine. The same audit notes that open projects like Jan let you inspect the code to confirm what data leaves your computer. If that matters to you, it is a real advantage over closed apps.
Jan is friendlier than a terminal tool, but it is more of a chat window than a document study tool. If your main job is working through PDFs and study notes, check how far its document features go today.
Ollama: the engine under many apps
Ollama is a runtime. It downloads and serves models, and many other apps plug into it. The same diyai.io review calls it the simplest local model runtime. It is popular with developers.
There is a common mix-up here. Ollama runs a model, but it is not a complete document-chat tool. To ask questions about files, you need another layer on top to handle document chunks, embeddings and storage. That layer is what AnythingLLM, and GreenCube, provide. If you are not comfortable in a terminal, Ollama alone will probably not be your answer.
Open WebUI: better for a shared server
Open WebUI gives you a polished, ChatGPT-style web interface for models you host yourself. The diyai.io review says it suits a shared, self-hosted AI service better than a single desktop. That makes sense for a small office or a tech-minded household with a spare machine.
For one person with one laptop, it is more than you need. Expect to deal with containers or server setup.
Tools for developers and coders
If you want an AI to help with code, a document app is the wrong category. A review of coding agents recommends tools such as Aider or Cline when set up with local models, because they can work on a codebase without making external network requests. For teams, other tools add single sign-on and audit logs. These are specialist tools. Pick them for programming, not for studying a PDF.
Other small private document apps
The field is bigger than the famous names. Two examples:
- DocuChat describes itself as a private, on-device companion for chatting with PDFs and making study guides, according to its listing.
- LocalChat is described on its site as an on-device AI for the Mac.
Small apps like these are worth a look if you are on a Mac and want a narrow tool. Check the platform and the price before you download.
How to tell if a "private" AI app is really private
Don't take any label on trust, including ours. Ask these questions:
- Does the chat model run on your machine? Many apps can switch between local and cloud models. Check the active setting.
- Where do embeddings happen? This is the step that turns your documents into searchable pieces. The diyai.io review warns that if this step uses a cloud service, your document data leaves your computer even when the chat feels local.
- What else does the app send? local-llm.net notes that even apps marketed as private can make background calls for license checks, telemetry or updates. It suggests watching network activity to confirm that no prompts or documents go out.
- Can you use it with Wi-Fi off? It is the easiest test. Turn the internet off and try a chat and a PDF.
We wrote a longer checklist for verifying private document AI if you want to go step by step.
What your computer can really handle
Hardware is where honest advice matters most. Local AI needs memory. The Ars Technica forum discussion on running local models on Macs is one place where users report that machines with 8 GB or 16 GB of RAM slow down fast when the app competes with browsers and other heavy software.
A few rules of thumb:
- Close your browser tabs before you start a long document chat.
- Choose the smaller model if your computer is older. In GreenCube, that is Quick, which is also the faster one.
- Expect longer waits on slower machines, for answers and for apps you ask the AI to build.
- Reading images and building study guides takes more power than plain text chat.
This is why GreenCube has the Seed, Sprout, Bloom and Thrive tiers: to show what your computer handles well, not to charge you more.
Which one should you pick?
| If you are... | A good fit |
|---|---|
| A student with PDFs and notes, wanting no setup | GreenCube |
| A teacher or tutor who needs simple, private document help | GreenCube |
| Someone tired of monthly AI bills | GreenCube, or a free open-source tool if you enjoy tinkering |
| A hobbyist who loves testing many models | LM Studio or Jan |
| A developer who wants a model runtime | Ollama |
| A small team wanting one shared server | Open WebUI |
| A programmer wanting code help | A local coding agent such as Aider or Cline |
| Someone who already likes workspaces and options | Stay with AnythingLLM |
If none of these fit, our guides on local AI models and the best local AI chatbot for Windows cover the basics.
Our view: the best tool is the one you will actually open
We build GreenCube, so take this as our opinion, and weigh it.
Most people who ask about private AI are not engineers. They are students with a stack of readings, teachers with worksheets, freelancers with client drafts. They don't want to learn what a vector database is. They want to ask a question about a file and know that the file stayed home.
That is why we made GreenCube small in scope. One install, one model download, one sign-in to unlock the license, then it works with no internet. We chose to compete on access and price, not on raw power. The biggest cloud models are more capable at large reasoning jobs, and we say so. But a tool you can run on your own laptop, that you own for one payment, and that never needs your documents to leave the room, solves a real problem for many people.
If you love control, open-source tools are a great choice, and we mean that. If you want the shortest path to private help with your PDFs, try us.
— Hector Gras
Try GreenCube on your own computer
GreenCube is a one-time purchase of €9.99 / US$9.99, with everything included, no subscription, and a 14-day refund. Get GreenCube and see how it runs on your machine. If you are comparing it with cloud chat, our page on ChatGPT versus GreenCube lays out the differences.
FAQ
Is AnythingLLM free?
The open-source app is free to run yourself, and DataCamp's guide says it is MIT licensed. Paid cloud options also exist, so check the current pricing on its own site. You still need a model to run behind it, either local or through an API.
Do I need technical skills to run a local AI app?
Not for every tool. Runtimes like Ollama and server tools like Open WebUI expect some comfort with terminals or containers. Desktop apps like GreenCube are made to install like any other program, then download one model.
Does GreenCube send my documents anywhere?
No. Chats and files stay on your computer. A one-time Google or Microsoft sign-in verifies your license, and no chat data or documents are sent with it. Only features you switch on yourself go online.
Will it run on my old laptop?
Probably, but slowly. The Quick model is lighter and faster, while the All-rounder needs 8 GB of RAM and answers more slowly. Slower computers also build apps more slowly.
Can I use GreenCube on Linux?
No. GreenCube is built for Windows and Mac, and there is no Linux version.
Sources
- Local AI Privacy Audit 2026: What Apps Send Home (local-llm.net)
- Best Private LLMs and Self-Hosted AI Tools in 2026 (diyai.io)
- Local AI Platforms on Mac Compared (ModelPiper)
- AnythingLLM: Complete Guide to Setup, RAG, and Use Cases (DataCamp)
- AnythingLLM or LM Studio for a beginner? (Reddit)
- Running local models on Macs (Ars OpenForum)
- State of the art AI coding agents review (Acme Logic Works)
- DocuChat
- LocalChat