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OpenMAIC

GitHub stars: 39.6K GitHub forks: 6.1K Declared license: MIT: MIT Last pushed September 30, 2026: Pushed today
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OpenMAIC builds editable AI lessons and an interactive classroom from a topic or supplied materials, with teacher and classmate agents.

Its Pro workbench lets you plan and revise courses through a conversation, alongside slides, quizzes, interactive activities and export options. Generated teaching material still needs checking. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.

What it is

Turn source material into a lesson

A trainer starting from a document can generate slides, questions and activities, then edit the lesson rather than treating the first result as a finished course.

Why it stands out

Steer the course as it is built

The Pro workbench adds a conversation for planning, building and revising the course. This differs from the classic one-click generator and from chatting with a teacher during lesson playback.

Availability

Hosted and self-hosted paths

The project links a hosted demo and documents self-hosting with configurable model, media, search and storage providers. Features and data handling depend on those connections; self-hosting alone does not keep every request local.

Why it matters

What makes it useful

When a lesson needs more than a slide deck, OpenMAIC can add quizzes, simulations and teacher-and-classmate discussion. Those are different ways to present and practise a topic, not evidence that the generated explanations are correct.

Notable points

What stands out

Local audio/video extraction needs both ffmpeg and ffprobe plus a configured ASR provider. If that path is unavailable, a configured AliDocMind service can supply cloud extraction. With neither path available, those materials fail with a setup message instead of silently producing an empty transcript.

Before using

What to review

The v1.1.2 security release fixes requests to caller-chosen provider URLs that could reach internal addresses. Check its release notes and published advisories when choosing a self-hosted version.

ACCESS_CODE is a shared site password, not separate user authentication. Without it, the access-code gate is absent; storage ownership and user identity need their own configuration.

Check where uploaded materials, transcripts, generated media and saved courses go for each configured provider and storage backend.

Review facts, quiz answers and generated activities before using them to teach. Model generation is not curriculum validation.

Reader fit

Who may find it relevant

Teachers and trainers experimenting with editable lessons and interactive practice.

Builders who can configure providers, persistence and access for a classroom application.

A reader who only needs a few flashcards or a document summary may prefer a smaller workflow.

Editorial note

Why LifeHubber lists it

For a lesson you need to edit outside the classroom, the export format matters: the project offers editable .pptx slides as well as interactive .html pages. Choose the slide export for PowerPoint revisions; the interactive page serves a different handoff.

Source links

Source materials

Reader note

Before relying on this entry

LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.

What to explore next

Keep the teaching material connected to its sources.

A course made from uploaded material is a new layer between the learner and the original. Keep a way to check the facts that become explanations and quiz answers.

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