llms.txt
+45 −1
https://actions.world/llms.txt
− - [Models](https://actions.world/models): all 0 integrated models with licences and open-weight availability+ - [Models](https://actions.world/models): all 43 integrated models with licences and open-weight availability+ - [Action Agent](https://actions.world/action-agent): an AI agent for robot video data that plans, asks for approval and runs actions on your episodes; also available over MCP in Claude, Cursor and Windsurf+ - [Gemini 3.8 Flash](https://actions.world/models/gemini-3.8-flash) (Google, Analyze, Cleanup, Mask Segmentation, Segmentation): Sharper scene summaries. Balanced cleanup detection. Accurate object outlines. Tighter HUD boxes+ - [Gemini 4 Argon](https://actions.world/models/gemini-4-argon) (Google, Analyze, Cleanup, Mask Segmentation, Segmentation): Frame-by-frame scene reads. Sharpest idle-footage trims. General-purpose masks. Precise boxes and labels+ - [GPT-6 Astra Fast](https://actions.world/models/gpt-6-astra-fast) (OpenAI, Analyze, Cleanup, Mask Segmentation, Segmentation): Faster dataset sweep. Faster high-quality cleanup. Faster mask segmentation. Faster Astra labelling+ - [GPT-6 Astra](https://actions.world/models/gpt-6-astra) (OpenAI, Analyze, Cleanup, Image to Simulator, Mask Segmentation, Segmentation): Deep sequence reasoning. Highest-accuracy cleanup. Photos to MuJoCo. Highest-quality boundaries. Highest-fidelity box labels+ - [Qwen 3.8 Flash](https://actions.world/models/qwen-3-8-flash) (Alibaba, Analyze, Cleanup, Mask Segmentation, Segmentation): Cheap long-clip analysis. Cheap large-dataset cleanup. Budget bulk masks. Budget bulk annotation+ - [Qwen 3.8 Max](https://actions.world/models/qwen-3-8-max) (Alibaba, Analyze, Cleanup, Image to Simulator, Mask Segmentation, Segmentation): Detailed behavior points. Dense overlapping scenes. Budget scene reconstruction. Precise dense-scene boundaries. Dense overlapping objects+ - [GPT-6 Luna](https://actions.world/models/gpt-6-luna) (OpenAI, Analyze, Cleanup, Image to Simulator, Mask Segmentation, Segmentation): General Luna scene reads. General-purpose Luna cleanup. Luna photos to MuJoCo. General Luna boundaries. General Luna box labels+ - [GPT-6 Luna Fast](https://actions.world/models/gpt-6-luna-fast) (OpenAI, Analyze, Cleanup, Mask Segmentation, Segmentation): Faster Luna dataset sweep. Faster Luna cleanup. Faster Luna masks. Faster Luna labelling+ - [GPT-6 Luna Decision](https://actions.world/models/gpt-6-luna-decision) (OpenAI, Analyze, Cleanup, Image to Simulator, Mask Segmentation, Segmentation): Decision-led scene reads. Decision-led cleanup cuts. Decision-led scene rebuilds. Decision-led mask boundaries. Decision-led box labels+ - [GPT-6 Sol](https://actions.world/models/gpt-6-sol) (OpenAI, Analyze, Cleanup, Image to Simulator, Mask Segmentation, Segmentation): Sol sequence reasoning. Sol reasoning for cleanup. Sol photos to MuJoCo. Sol reasoning for masks. Sol reasoning for labels+ - [GPT-6 Sol Fast](https://actions.world/models/gpt-6-sol-fast) (OpenAI, Analyze, Cleanup, Mask Segmentation, Segmentation): Faster Sol dataset sweep. Faster Sol cleanup. Faster Sol masks. Faster Sol labelling+ - [GPT-6.1 Sol](https://actions.world/models/gpt-6-1-sol) (OpenAI, Analyze, Cleanup, Image to Simulator, Mask Segmentation, Segmentation): Newer Sol scene reasoning. Newer Sol cleanup. Newer Sol scene rebuilds. Newer Sol boundaries. Newer Sol box labels+ - [GPT-6.1 Sol Fast](https://actions.world/models/gpt-6-1-sol-fast) (OpenAI, Analyze, Cleanup, Mask Segmentation, Segmentation): Faster GPT-6.1 sweep. Faster GPT-6.1 cleanup. Faster GPT-6.1 masks. Faster GPT-6.1 labelling+ - [Depth Anything V3](https://actions.world/models/da3-metric-large) (ByteDance, Depth Map): Metric depth overlays+ - [Depth Anything V2](https://actions.world/models/depth-anything-v2) (ByteDance, Depth Map): Relative depth per frame+ - [DepthCrafter](https://actions.world/models/depthcrafter) (Tencent, Depth Map): Consistent depth across the clip+ - [MiDaS](https://actions.world/models/midas) (Intel, Depth Map): Relative inverse depth per frame+ - [Depth Pro](https://actions.world/models/depth-pro) (Apple, Depth Map): Metric depth in meters+ - [Marigold](https://actions.world/models/marigold) (ETH Zurich, Depth Map): Diffusion depth per frame+ - [FoundationStereo](https://actions.world/models/foundation-stereo) (NVIDIA, Depth Map): Metric depth from a side-by-side stereo frame+ - [Wan 3.0 Prime](https://actions.world/models/wan-3-prime) (Alibaba, Diffusion): Higher-quality Wan restyle+ - [Wan 3.0](https://actions.world/models/wan-3) (Alibaba, Diffusion): Clip restyle from Wan+ - [Gemini Omni Flash 1.1](https://actions.world/models/gemini_omni_flash_1.1) (Google, Diffusion): Shorter Omni look shifts+ - [MiniMax H3](https://actions.world/models/hailuo3) (MiniMax, Diffusion): Reference restyle up to 15s+ - [Seedance 2.5](https://actions.world/models/seedance2_5) (ByteDance, Diffusion): Longer restyle windows+ - [Aleph 2](https://actions.world/models/aleph2) (Runway, Diffusion): Prompted environment swaps+ - [Gemini Omni Flash](https://actions.world/models/gemini_omni_flash) (Google, Diffusion): Weather and lighting shifts+ - [Seedance 2.0 Fast](https://actions.world/models/seedance2_fast) (ByteDance, Diffusion): Cheap look iteration+ - [Seedance 2.0 Mini](https://actions.world/models/seedance2_mini) (ByteDance, Diffusion): Bulk short-clip restyle+ - [Grok Imagine Video](https://actions.world/models/grok-imagine-video) (xAI, Diffusion): Prompted edit of the clip+ - [Seedance 2.0](https://actions.world/models/seedance2) (ByteDance, Diffusion): Locked-camera video restyle+ - [MediaPipe Face Landmarker](https://actions.world/models/mediapipe-face-landmarker) (Google, Face Landmark): 478 face landmarks+ - [MediaPipe Pose Landmarker Heavy](https://actions.world/models/mediapipe-pose-landmarker-heavy) (Google, Full Body Pose): Highest-quality body tracking+ - [MediaPipe Pose Landmarker Full](https://actions.world/models/mediapipe-pose-landmarker-full) (Google, Full Body Pose): Faster body tracking+ - [MediaPipe Pose Landmarker Lite](https://actions.world/models/mediapipe-pose-landmarker-lite) (Google, Full Body Pose): Fastest body tracking+ - [RF-DETR Keypoint Preview](https://actions.world/models/rfdetr-keypoint-preview) (Roboflow, Full Body Pose): 17 COCO person keypoints+ - [MediaPipe Gesture Recognizer](https://actions.world/models/mediapipe-gesture-recognizer) (Google, Gesture Detection): Gesture label per hand+ - [MediaPipe Holistic Landmarker](https://actions.world/models/mediapipe-holistic-landmarker) (Google, Holistic Landmark): Pose, face, and hands