Topics / #vision-language-action-model

Vision-language-action-model projects on GitHub

Vision-language-action models for robotics that output actions from images and instructions

As of , the most-starred Vision-language-action-model projects on GitHub are starVLA (3.8K stars), ZDTaichu5.0-9B (3.1K stars) and FluxVLA (749 stars). GitHub.Locker tracks 6 Vision-language-action-model repositories with 8.3K stars combined. The fastest-growing on October 17 was RoboICL, with +4 stars in a day.

6Projects
8.3KStars in total
+9Stars in a day
Browse in the catalog →github.com/topics/vision-language-action-model ↗

Hot right now

Most stars gained in a day · Oct 17

+4

RoboICL

Mosi-AI/RoboICL · ★ 271

RoboICL is a research framework that lets a frozen, general-purpose vision-language model (GPT-6 Astra) control a robot in simulation purely through in-context learning, without training a dedicated robot policy.

+2

starVLA

starVLA/starVLA · ★ 3.8K

StarVLA is an open-source, modular research codebase for building Vision-Language-Action (VLA) models that control generalist robots, letting you mix and match backbones, action heads, and training recipes like Lego bricks.

+2

FluxVLA

FluxVLA/FluxVLA · ★ 749

FluxVLA is a full-stack engineering platform for embodied AI covering the whole loop from data to real-robot deployment for vision-language-action (VLA) models, built to lower the engineering barrier for VLA research and development.

+1

ZDTaichu5.0-9B

Taichu-AI/ZDTaichu5.0-9B · ★ 3.1K

ZDTaichu5.0-9B is a multimodal foundation model that combines a Qwen3.5-9B language backbone with a C-RADIOv4-H vision encoder for general visual understanding, spatial reasoning, embodied-AI research and agentic tool use.

The all-time top

6 projects · by stars

  1. #1 · starVLA/starVLA

    starVLA

    StarVLA is an open-source, modular research codebase for building Vision-Language-Action (VLA) models that control generalist robots, letting you mix and match backbones, action heads, and training recipes like Lego bricks.

    3.8K
  2. #2 · Taichu-AI/ZDTaichu5.0-9B

    ZDTaichu5.0-9B

    ZDTaichu5.0-9B is a multimodal foundation model that combines a Qwen3.5-9B language backbone with a C-RADIOv4-H vision encoder for general visual understanding, spatial reasoning, embodied-AI research and agentic tool use.

    3.1K
  3. #3 · FluxVLA/FluxVLA

    FluxVLA

    FluxVLA is a full-stack engineering platform for embodied AI covering the whole loop from data to real-robot deployment for vision-language-action (VLA) models, built to lower the engineering barrier for VLA research and development.

    749
  1. 4

    RoboICL

    271Mosi-AI/RoboICL · Python

    RoboICL is a research framework that lets a frozen, general-purpose vision-language model (GPT-6 Astra) control a robot in simulation purely through in-context learning, without training a dedicated robot policy.

  2. 5

    StreamPI

    211hku-sail/StreamPI · Python

    Official code of StreamPI (NeurIPS 2026, from HKU and ACE Robotics): a streaming temporal modeling framework that gives VLA robot policies like pi0.5 memory of past frames and multi-frame perception without adding any new parameters.

  3. 6

    InstinctFlash

    200General-Instinct/InstinctFlash · Python

    InstinctFlash is a high-performance serving runtime for robotics foundation models - it loads checkpoints like GR00T, Cosmos3, pi0.5, LingBot-VA/VLA and DreamZero, applies acceleration (FP8, fused Triton kernels, caching) and serves them over Python or WebSocket, reporting up to 33.78x speedup on Jetson Thor.

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