REPOGEO REPORT · LITE
opendilab/DI-star
Default branch main · commit 12b1c693 · scanned 5/25/2026, 11:13:10 AM
GitHub: 1,372 stars · 125 forks
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 opendilab/DI-star, 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
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add more specific topics for StarCraft II AI and distributed RL
Why:
CURRENTartificial-intelligence, deep-learning, deep-reinforcement-learning, league, reinforcment-learning, self-play, starcraft2
COPY-PASTE FIXartificial-intelligence, deep-learning, deep-reinforcement-learning, distributed-reinforcement-learning, game-ai, grandmaster-ai, rts-ai, reinforcment-learning, self-play, starcraft2, starcraft-ii-ai
- highhomepage#2Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIXhttps://opendilab.org/DI-star
- mediumreadme#3Strengthen the README's opening to explicitly state its role in enabling users to train grandmaster StarCraft II AI
Why:
CURRENT# Overview DI-star: A large-scale game AI distributed training platform specially developed for the StarCraft II. We've already trained grand-master AI!This project contains:
COPY-PASTE FIX# Overview DI-star is a large-scale distributed training platform for StarCraft II, enabling researchers and enthusiasts to develop and train their own grandmaster-level AI agents. We've already achieved grandmaster AI performance, and this project provides the tools and agents to help you do the same. This project contains:
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.
- AlphaStar · recommended 1×
- OpenAI Baselines · recommended 1×
- Stable Baselines3 · recommended 1×
- SC2LE · recommended 1×
- PySC2 · recommended 1×
- CATEGORY QUERYHow to train grandmaster level AI agents for StarCraft II?you: not recommendedAI recommended (in order):
- AlphaStar
- OpenAI Baselines
- Stable Baselines3
- SC2LE
- PySC2
- RLlib
- TorchRL
- ACME
AI recommended 8 alternatives but never named opendilab/DI-star. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a distributed reinforcement learning platform for real-time strategy game AI development.you: not recommendedAI recommended (in order):
- OpenSpiel (deepmind/open_spiel)
- Ray RLlib (ray-project/ray)
- Unity ML-Agents (Unity-Technologies/ml-agents)
- Acme (deepmind/acme)
- TensorFlow Agents (TF-Agents) (tensorflow/agents)
- Stable Baselines3 (DLR-RM/stable-baselines3)
- TorchRL (pytorch/rl)
AI recommended 7 alternatives but never named opendilab/DI-star. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
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 opendilab/DI-star?passAI named opendilab/DI-star explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts opendilab/DI-star in production, what risks or prerequisites should they evaluate first?passAI named opendilab/DI-star 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 opendilab/DI-star solve, and who is the primary audience?passAI named opendilab/DI-star explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of opendilab/DI-star. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/opendilab/DI-star)<a href="https://repogeo.com/en/r/opendilab/DI-star"><img src="https://repogeo.com/badge/opendilab/DI-star.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
opendilab/DI-star — 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