LinguaCafe turns your own reading material, novels, news sites, ebooks, and video subtitles, into a private language tutor that lives entirely on your server. Import a text and every word starts out highlighted as new; as you read and mark words known, the highlighting thins out until whole pages sit clean. When an unknown word stops you, the built-in vocabulary search shows its dictionary form, so inflected verbs surface as their infinitive and nouns carry their gender, while optional DeepL translation covers anything the dictionaries miss. Marking a word adds it to your vocabulary, and multi-word selections become phrases that stay highlighted everywhere they appear again. Chapters track how many new, highlighted, and known words they contain, which makes judging a text's difficulty a glance instead of a guess. The review system cycles highlighted words through Leitner-style spaced repetition, and anything you collect can be exported or pushed straight into Anki through AnkiConnect for study on your phone. Japanese learners get kanji and radical breakdowns beside the reading pane. Everything stays local: your books, your words, and your progress never leave the machine. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Your lecture slides go in one end, and a personal tutor who has actually read them comes out the other: OpenTutor turns uploaded course material into structured notes, flashcards, quizzes, and a chat tutor that answers from your own documents. Drop in a PDF, DOCX, or PPTX file, or connect Canvas LMS, and within seconds the workspace fills with generated study material organized into twelve composable blocks you can rearrange as your habits change. Ask the tutor questions and every answer cites the source material it came from, with a Socratic mode that prods you toward the answer and depth that adjusts when your replies show fatigue or repeated mistakes. Practice with seven question types, from multiple choice and fill-in-blank to matching, ordering, and coding, and wrong answers are tracked with diagnostic feedback that reshapes later difficulty. Flashcards return on an FSRS 4.5 spaced-repetition schedule tuned to what you are about to forget, and an experimental knowledge graph maps concept mastery, prerequisites, and weak spots into a learning path. Plan study sessions on the calendar, watch progress in analytics, export your work, and connect ten or more LLM providers or a local Ollama model so your documents never have to leave your server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Scholarsome is a self-hosted flashcard platform where you create study sets, share them with other learners, and drill them through flashcards and automatically built quizzes. Start a set from scratch in the card editor, writing terms and definitions with rich formatting, images, and LaTeX expressions for math and science notation. Bring your existing material with you instead: decks import from Anki, Quizlet, and CSV files, and finished sets export back to the same formats so nothing is trapped inside. Share a set with classmates or keep it private with visibility controls, then let everyone study from the same central copy with no device syncing to manage. Multiple learning modes mimic real flashcards for relaxed review, while the quiz builder generates fill in the blank, true or false, and multiple choice questions from your cards for a stricter test. Teachers can assemble a class deck once and publish it to every student at the moment it is ready. Because the whole system runs on your own server, study data stays under your control rather than behind a subscription paywall. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Tell LearnBuddy what you want to learn, in one conversation, and it works out where to start, what to do each day, and when yesterday's material needs another look. You describe the goal, whether that is a language, programming, nutrition, writing, or a career change, and three to five adaptive questions measure your actual baseline instead of making you pick a level from a dropdown. From there it builds a personalized path of four to twenty-four weeks and tells you daily what to study and what to review, so opening the app answers the question instead of raising it. Forgetting is treated as a scheduling problem: reviews resurface at spaced intervals, weekly self-checks test whether the plan still fits, and the roadmap replans dynamically when you race ahead or fall behind. Two editions run from the same codebase: try the hosted Cloud experience, or settle into Personal mode with your own model API key and your learning data stored on your own server. Optional OpenClaw and Feishu integration can bring the daily guidance into the chat tools you already live in. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Bloom hires you a private tutor for any subject, then teaches one lesson at a time and rewrites the next lesson around what you actually understood. You begin with a topic, an uploaded PDF, text, or Markdown source, or a set of project files, and Bloom drafts a syllabus of concrete mastery items at simple, standard, or deep expansion. Each lesson arrives focused and readable, with a chapter sidebar for quick jumps and a collapsible syllabus tracking what is already mastered. Reading is active work: highlight any passage and a question thread opens beside it, streaming an answer that stays attached to that sentence for later follow-ups. Reflection questions close every lesson, and your answers, annotations, and highlighted gaps become the raw material for the next lesson, which opens by reviewing the previous answers. Source mode keeps page numbers and sections so lessons can cite where an idea came from, and project files render each document as its own page for highlight questions without generated lessons. Finished courses produce an evaluation and a summary, followed by three recommended next topics drawn from your learning history. A personal center shows a study calendar, daily activity, and streaks across your courses. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Upload a PDF, a slide deck, or a stack of lecture notes, and Exameow turns the material into exam questions you can actually practice with. The generator reads PDF, DOCX, XLSX, PPTX, EPUB, ODT, TXT, CSV, HTML, and image files, then writes single-choice, multiple-choice, true/false, fill-in-the-blank, and short-answer items through any OpenAI-compatible API you point it at. Counts per type, difficulty, output language, and chapter filters shape each batch, and large documents split automatically with duplicates removed. Practice runs sequentially, shuffled, as a timed mock exam assembled from type quotas, or against your wrong-question list, which clears items after repeated correct answers. Exam mode hides answers for honest attempts; flashcard mode reveals them for review, and AI grades short answers against reference answers with manual regrading available. Teachers publish a bank to the online exam relay and share a six-digit code: students join from any browser, sit a timed session, and get instant scores on objective questions. Question banks import and export as XLSX or CSV with smart column mapping, and practice records stay in your own database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Developed by Tsinghua University researchers and validated across more than 700 students, OpenMAIC converts raw prompts, PDFs, Office documents, audio, and video into complete, multi-agent virtual learning environments. The platform leverages Next.js, LangGraph state machines, and a pluggable `@openmaic/storage` layer to orchestrate autonomous AI professors and student avatars that lecture, debate at roundtables, answer inquiries, and illustrate complex equations on a real-time SVG whiteboard. Its Pro Agent Workbench features durable PostgreSQL-backed sessions, twenty specialized curriculum-building skills, and granular JSON Patch slide editing with full `.pptx` import fidelity. OpenMAIC supports rich scene modalities including automated quiz grading, Project-Based Learning milestones, and Deep Interactive Mode offering in-browser code execution, interactive mind maps, and Three.js 3D physics simulations. Built-in audio pipelines connect with VoxCPM2 for zero-shot voice cloning, Azure STT, and FunASR for speech recognition, alongside a dedicated Chromium-FFmpeg rendering microservice for one-click MP4 video exports. Flexible model routing interfaces seamlessly with OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock, DeepSeek, and local Ollama or Lemonade instances, while OpenClaw integration enables direct classroom generation from Slack, Discord, Feishu, and Telegram. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With 34,000+ GitHub stars and a v1.5 release driven by 36 merged community pull requests, DeepTutor from Hong Kong University's Data Science Lab delivers a full agent-native learning workspace that goes far beyond chatbot wrappers. Eight integrated surfaces — Chat, Deep Solve, Quiz Generation, Deep Research, Math Animator, Co-Writer, Book generation, and Mastery Practice — share a unified context so the objective follows the learner, not the tool. The platform's three-layer memory architecture (L1 working, L2 session, L3 long-term) makes personalization inspectable rather than opaque, letting users see exactly what the system remembers and why. Knowledge retrieval operates across five pluggable engines — LlamaIndex with FAISS vectors, PageIndex for page-level citations, GraphRAG for knowledge-graph traversal, LightRAG for local or server-offloaded retrieval, and linked Obsidian vaults — with document parsing via MinerU, Docling, markitdown, or PyMuPDF4LLM. Partners extend the tutoring brain to 15+ messaging platforms including Slack, Discord, Telegram, Matrix with E2EE, and Mattermost, each carrying private memory with branch, resume, and replay capabilities. Subagent integration brings Claude Code, Codex, Gemini, and Kimi directly into learning sessions. The system supports 30+ LLM providers from OpenAI and Anthropic to Ollama for fully local operation, with multi-user isolation, admin controls, and a full CLI interface. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Moodle gives teachers a place to build courses and learners a place to work through them, with quizzes, assignments, grading, and progress tracking on a learning platform you host yourself. Custom or weekly sections sit beside a course index, and Previous and Next buttons walk learners through activities in order. The activity chooser adds forums, wikis, glossaries, lessons, H5P content, and SCORM packages. Question banks can be shared across courses and track every edit, and quizzes combine calculated, ordering, and essay questions with due dates and Safe Exam Browser settings. Assignments offer in-browser PDF annotation, rubrics, and marking guides, and with a marking workflow several markers can leave separate feedback before grades are released. Peer assessment runs through workshops, competency frameworks feed learning plans, and Open Badges recognize achievement. With learning outcomes enabled, a course page lists each outcome beside the activities linked to it. Learners follow deadlines on a dashboard timeline, message classmates, and take course content offline in the official mobile app. Sign-in works through email self-registration, LDAP, Shibboleth, OAuth 2, or LTI, and enrollment through keys, cohorts, flat files, or PayPal. Administrators assign roles, build custom reports, and upload plugin ZIP files. AI actions can run on providers including OpenAI, Azure AI, Gemini, Ollama, and Anthropic Claude, and a course-level report shows how students use them. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0-or-later licensed.

Schools, training companies, and HR teams use Chamilo LMS to publish courses, guide learners step by step, and prove completion with grades, badges, and certificates. Teachers build courses from documents, videos, and 360 media, then arrange them into learning paths that unlock in sequence and track every learner's progress. Quizzes offer more than twenty question types with randomized draws, time limits, and adaptive testing, while assignments accept submissions, support co-grading, and plug into plagiarism checks. The gradebook turns scores into certificates with QR codes, and skills frameworks record competency levels as learners advance. Sessions let one course run for many cohorts on different calendars, attendance tools handle sign-in and Qualiopi style reporting, and the course catalogue can even sell enrolments through its e-commerce module. Discussion forums, live chat, surveys, and videoconference integrations keep classes social, and SCORM, QTI, LTI, and xAPI support means existing content and external tools slot in without conversion projects. Administrators import users in bulk, connect LDAP or OAuth2 logins, and export personal data for GDPR requests; learners get all of it in more than sixty languages, including right-to-left scripts. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.