HKUDS/ViMax

Health v2 · maintenance only

Adoption not part of the score

12108 stars · 1823 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ViMax is an agentic video generation framework that uses coordinated multi-agent collaboration (director, screenwriter, producer, video generator roles) to produce long-form narrative videos. It combines a hierarchical narrative engine with retrieval-augmented generation and dependency-aware visual consistency tracking to maintain story coherence and character/scene continuity across multi-scene timelines.

Use cases

• generate long-form AI videos with consistent characters across scenes
• automate video storytelling with AI agents acting as director and screenwriter
• create multi-scene narrative videos instead of short clips
• maintain visual consistency in AI-generated video sequences
• produce scripted videos with audio and narrative structure automatically
• research agentic AIGC pipelines for video production

When to choose

• you need extended narrative videos with story structure, not just seconds-long clips
• character and environmental consistency across scenes is critical
• you want an end-to-end pipeline covering scripting, planning, and video generation
• you're researching multi-agent collaboration for generative video

When to avoid

• you only need quick single short clips from a text prompt
• you lack GPU resources or access to video generation models
• you need real-time or live video generation
• you want a polished GUI video editor rather than a Python framework

Facets

framework · maturity active

video-processing agent-framework rag machine-learning llm-inference artificial-intelligence deep-learning python cross-platform agentic-aigc video-generation multi-agent narrative-planning visual-consistency long-form-video storytelling ai-agents video retrieval-augmented-generation gpu

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markdown · JSON · MCP: product_card(name="HKUDS/ViMax")