kairos-agi/kairos

Health v2 · maintenance only

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2598 stars · 504 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Kairos is the official open-source implementation of a 4B-parameter native cross-embodiment world model that unifies video understanding, future visual generation, and executable robot action prediction. It provides inference code and pretrained weights for robot manipulation benchmarks and supports real-time edge-side deployment for embodied AI.

Use cases

• predict future video states for robot manipulation
• generate executable robot actions from world model
• run world model inference on robot benchmarks like RoboTwin and LIBERO
• deploy embodied AI models on edge devices
• experiment with cross-embodiment pretraining for robotics
• evaluate long-horizon reasoning in embodied agents

When to choose

• you need a unified world model that predicts both future video and robot actions
• you want pretrained cross-embodiment weights for manipulation benchmarks
• you need efficient edge-side deployment for embodied AI

When to avoid

• you need a general-purpose video generation model without robot action prediction
• you lack GPU resources for 4B-parameter model inference
• you need a mature production robotics stack rather than research code

Facets

library · maturity active

machine-learning deep-learning llm-inference video-processing simulation artificial-intelligence robotics machine-learning computer-vision python world-model cross-embodiment robot-learning action-prediction video-generation embodied-ai linux gpu

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