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
* / 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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[](https://ossradar.net/repo/AetherLabsAI/Video2World)<a href="https://ossradar.net/repo/AetherLabsAI/Video2World"><img src="https://ossradar.net/badge/AetherLabsAI/Video2World" alt="Trending on OSS Radar"></a>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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