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AetherLabsAI/Video2World

Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective. Why it matters: relevant if AI is part of your coding workflow.

GitHub description: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective

Stars

147

Last 24h

+3

Last 7 days

+21est.

Forks

0

Star history

GitHub stars over time. A steeper line means the repo is gaining attention faster.

Daily, since Oct 13, 2026 · 144 → 147

Daily star count for AetherLabsAI/Video2World147144Oct 13, 2026Oct 14, 2026

* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.

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About Video2World

AetherLabsAI/Video2World is a Python project in the Coding agents category, created 8 days ago. It has 147 GitHub stars and 0 forks, and gained +21 stars over the last 7 days (early estimate), ranking #67 of 73 Coding agents repos tracked by OSS Radar this week.

See more trending Coding agents repos or the top AI repos this week.

Language
Python
Category
Coding agents
Created
Oct 5, 2026
Last code push
7 days ago (Oct 6, 2026)
Latest release
No releases yet
  • benchmark
  • coding-agent
  • embodied-ai
  • foundation-models
  • real-to-sim
  • robot-learning
  • robotics
  • simulation
  • world-models

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