REPOGEO REPORT · LITE
alibaba-damo-academy/RynnVLA-002
Default branch main · commit e548ccc2 · scanned 5/20/2026, 5:27:45 PM
GitHub: 1,032 stars · 61 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface alibaba-damo-academy/RynnVLA-002, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highlicense#1Create a LICENSE file in the repository root
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root with an appropriate open-source license (e.g., Apache-2.0, MIT) that aligns with Alibaba-DAMO Academy's standard practices for public research projects.
- mediumreadme#2Refine the README introduction for clearer positioning
Why:
CURRENTRynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world model in one single framework. Compared to WorldVLA, RynnVLA-002 adds a continous Action Transformer, wrist camera input and generation, and state input. RynnVLA-002 achieves 97.4% success rate on LIBERO benchmark.
COPY-PASTE FIXRynnVLA-002 is a cutting-edge autoregressive action world model designed for **robotics and real-world environments**, unifying vision, language, and action understanding and generation. It integrates Vision-Language-Action (VLA) and world models into a single framework, achieving a 97.4% success rate on the LIBERO benchmark and enabling advanced action generation for complex robotic tasks.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- OpenVLA · recommended 1×
- RT-X · recommended 1×
- PaLM-E · recommended 1×
- CLIPort · recommended 1×
- Perceiver IO · recommended 1×
- CATEGORY QUERYLooking for a unified model combining vision, language, and action for robotics.you: not recommendedAI recommended (in order):
- OpenVLA
- RT-X
- PaLM-E
- CLIPort
- Perceiver IO
AI recommended 5 alternatives but never named alibaba-damo-academy/RynnVLA-002. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a framework for autoregressive action generation in real-world robotic environments.you: not recommendedAI recommended (in order):
- Robotics Transformer (RT-1, RT-2)
- Diffusion Policy
- ACT (Action Chunking with Transformers)
- MPPI
- CEM
- RL-VLM (Reinforcement Learning with Vision-Language Models)
- CLIP
- LLaVA
AI recommended 8 alternatives but never named alibaba-damo-academy/RynnVLA-002. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of alibaba-damo-academy/RynnVLA-002?passAI named alibaba-damo-academy/RynnVLA-002 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts alibaba-damo-academy/RynnVLA-002 in production, what risks or prerequisites should they evaluate first?passAI named alibaba-damo-academy/RynnVLA-002 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo alibaba-damo-academy/RynnVLA-002 solve, and who is the primary audience?passAI named alibaba-damo-academy/RynnVLA-002 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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alibaba-damo-academy/RynnVLA-002 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite