DeepTutor Hosting Live In 5 Minutes
DeepTutor hosting on xCloud lets you deploy DeepTutor, a self-hosted AI tutor for study, research and quizzes, on your own domain. We run the pinned 1.5.7 image with authentication switched on and an administrator account created for you, keep notebooks and knowledge bases on one persistent volume, and publish it over HTTPS. You add your own model provider key in Settings.
- No terminal
- No technical skills needed
- No lock-in, cancel anytime
What is DeepTutor?
DeepTutor is an Apache-2.0 learning workspace that upstream describes as agent-native: chat, quiz generation, research, visualisation, problem solving and mastery practice all run on one agent loop. Knowledge bases, notebooks, a question bank and memory carry across those modes. Self-hosted DeepTutor is the counterpart to hosted study tools such as NotebookLM and ChatGPT study mode, and it works with the model provider you configure.
On xCloud the template runs the official DeepTutor 1.5.7 image as one container: a Next.js web interface proxied by xCloud nginx and a FastAPI backend that is never published. Built-in authentication is on, one administrator is created at install, and runtime settings, provider keys, knowledge bases, notebooks and memory sit on the deeptutor_data volume. No language model is included; you bring the provider.
From Sign-Up to a Live DeepTutor In Just 3 Easy Steps
A DeepTutor server normally means a web container, a backend, an authentication setup, a data volume, a domain and a certificate before the first lesson. This is the same result without assembling any of it.
Step 01
Sign Up
Create your xCloud account and pick DeepTutor from the OneClick catalog. Choose your domain and server, then set the administrator username; the password is generated for you.
Step 02
We Deploy It For You
One click. We start DeepTutor 1.5.7 from the official image pinned by digest, mount the deeptutor_data volume at /app/data, turn authentication on and publish the web interface over HTTPS on your domain.
Step 03
Connect A Model
Sign in with the credentials from the install summary, open Settings → Models, add a model provider you control and test it, then create a private notebook or knowledge base and ask your first question.
Everything DeepTutor Does, On Your Own Server
The upstream learning workspace runs here with authentication on and your data on a volume you control. These are the features its documentation describes.
Chat With Your Sources
A single chat thread can read attachments, ground its answers in selected knowledge bases and save results to notebooks, then continue with the same context.
Knowledge Bases With Choice Of Retrieval
Upload documents to build a knowledge base for retrieval. Upstream offers several retrieval engines, with LlamaIndex as the default local vector and BM25 option.
Quizzes And Question Bank
Generate quiz questions from your material and keep each saved question with your answer, the reference answer and an explanation in the Learning Space.
Cited Research Reports
Research mode produces cited reports, and Visualize turns an answer into charts, diagrams or animations when a picture explains it better.
Co-Writer And Living Books
Co-Writer is a split-view Markdown editor with accept-or-reject edits, and Book compiles chapters from your sources into quizzes, flash cards and timelines.
Per-Account Workspaces
Authentication is on and users get isolated workspaces. Model keys live in the app's Settings, not in xCloud, and code execution stays disabled in this template.
Everything You Need To Run Your AI Tutor 24/7
Managed hosting for DeepTutor, so the parts that keep it online are not your problem.
- DeepTutor 1.5.7 deployed instantly
- Official image pinned by digest
- Administrator account created for you
- Backend kept off the public internet
- Free SSL certificate
- Server backups and snapshots
- Server security updates included
- 30+ server locations
- Unused balance refunded
What You Can Do With DeepTutor
Run an AI learning assistant for PDFs
A student or researcher uploads papers and textbook chapters into a knowledge base, then asks questions that are answered from those files and saved to a notebook for revision.
Turn course material into practice quizzes
A tutor or study group generates questions from a syllabus, keeps the good ones in the question bank and returns to the ones answered wrongly before an exam.
Draft cited research summaries
An analyst points Research mode at a prepared knowledge base and edits the resulting report in Co-Writer, accepting or rejecting each suggested change.
Give a small team its own study server
A school club or training team signs in under separate accounts with isolated workspaces, while one administrator controls the model provider and the data.
DeepTutor vs Alternatives
- NotebookLM
- A hosted alternative. DeepTutor on xCloud keeps knowledge bases, notebooks and provider settings on your own deeptutor_data volume, with the model provider of your choice.
- ChatGPT study mode
- A hosted alternative. DeepTutor is a separate workspace you host, with a knowledge base, question bank and notebooks that persist on your server instead of in a vendor account.
- Open WebUI
- A self-hosted chat front end for language models, also available as a OneClick app. DeepTutor centres on study, with quizzes, living books, a question bank and a Learning Space.
- AnythingLLM
- Another self-hosted workspace for chatting with your documents, deployable on xCloud. DeepTutor is built for studying, with Mastery Path practice, quizzes and a question bank.
Ready To Run Your Own AI Tutor?
DeepTutor on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Keep your notebooks on your own server. Stay in control.
Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.
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Blaine MooreFrequently Asked Questions
Feel free to contact us with any questions or concerns you may have.
Is DeepTutor free?
Yes. DeepTutor is released under the Apache-2.0 licence, so the software has no licence fee. You pay for the Cloud VPS it runs on, plus whatever your chosen model provider charges for API usage, because no language model is included in the template.
How do I self-host DeepTutor with Docker?
The template handles it. It runs the official DeepTutor 1.5.7 image under Docker Compose, mounts the deeptutor_data volume, enables authentication and adds your domain and HTTPS. DeepTutor Docker hosting here means you never write the Compose file or configure the proxy yourself.
Does DeepTutor need an OpenAI API key?
It needs a model provider you control, not specifically OpenAI. After sign-in, open Settings → Models, add a provider's base URL, key and model name, and test it before saving. The key is entered in DeepTutor itself and is not an xCloud install field.
Which AI providers does DeepTutor support?
Upstream lists many LLM and embedding providers, including OpenAI-compatible endpoints and Anthropic, and you pick one in Settings → Models. This template includes no local model, so choose a remote provider or an endpoint you run elsewhere. Check the upstream docs for the provider you plan to use.
Can DeepTutor run with Ollama?
Upstream documents Ollama as a provider, using an OpenAI-compatible base URL. The template does not include a local LLM, so Ollama would need to run elsewhere and be reachable from your server. Large local models also need far more memory than the 2048 MB the manifest asks for.
Where does DeepTutor store my documents?
On the deeptutor_data volume mounted at /app/data. It holds settings, authentication state, provider credentials, knowledge bases, notebooks, memory and logs. Treat any backup of it as secret-bearing, stop DeepTutor before a copy, and test the restore in an isolated installation.
How do I update DeepTutor?
There is no automatic update. The template pins DeepTutor 1.5.7 by digest and a catalog re-sync only affects new installs. Back up deeptutor_data, read the upstream release notes, change the image version, recreate the container with the same volume, then check login and model settings.
Is it safe to enable code execution in DeepTutor?
This template keeps it off. DeepTutor's subprocess setting is forced disabled on every container start and the optional sandbox runner is left out. Review any MCP service, CLI app or partner grant before turning it on for a user, since each widens what the tutor can reach.
Is there a DeepTutor cloud account I need?
No. Nothing here depends on a DeepTutor cloud login: the app runs on your own Cloud VPS, you sign in with the administrator account created at install, and the only outside service involved is the model provider you choose to connect.
What are the server requirements?
The manifest asks for 2048 MB of RAM, 2 CPU cores and 10 GB of disk. Document parsing, large knowledge bases and several concurrent users can need more. The 6 GB tier covers that floor with room for a small study group.
Can I cancel anytime?
Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.
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