REPOGEO REPORT · LITE
PrimeIntellect-ai/prime-rl
Default branch main · commit d3765e28 · scanned 6/25/2026, 3:12:59 AM
GitHub: 1,545 stars · 319 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.
3 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 PrimeIntellect-ai/prime-rl, 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 relevant topics to the repository
Why:
COPY-PASTE FIXreinforcement-learning, rl, agentic-ai, distributed-training, large-scale-ml, deep-learning, pytorch, multi-gpu, slurm, kubernetes, multimodal
- highreadme#2Clarify the unique value proposition in the README's opening
Why:
CURRENTPRIME-RL is a framework for large-scale reinforcement learning. It is designed to be easy to use and hackable, yet capable of scaling to 1000+ GPUs.
COPY-PASTE FIXPRIME-RL is a cutting-edge framework for fully asynchronous, large-scale reinforcement learning, specifically engineered for high-throughput agentic training. It uniquely combines ease of use with the power to scale 1000+ GPUs, enabling the development of frontier agentic models.
- mediumcomparison#3Add a 'Comparison' section to the README
Why:
COPY-PASTE FIX## Comparison with Alternatives Unlike general-purpose RL frameworks such as Ray RLlib or DeepMind Acme, PRIME-RL is purpose-built for fully asynchronous, large-scale agentic training. While others offer distributed capabilities, PRIME-RL's native integration with 'verifiers' environments, end-to-end post-training, and specialized support for 1T+ MoE models on 1000+ GPUs with FSDP2 and vLLM for inference, positions it uniquely for frontier agentic AI development.
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.
- ray-project/ray · recommended 2×
- deepmind/acme · recommended 2×
- deepmind/open_spiel · recommended 2×
- deepmind/seed_rl · recommended 1×
- thu-ml/tianshou · recommended 1×
- CATEGORY QUERYNeed a framework for scaling asynchronous reinforcement learning to train agentic models efficiently.you: not recommendedAI recommended (in order):
- Ray RLlib (ray-project/ray)
- Acme (deepmind/acme)
- Seed RL (deepmind/seed_rl)
- OpenSpiel (deepmind/open_spiel)
- Tianshou (thu-ml/tianshou)
AI recommended 5 alternatives but never named PrimeIntellect-ai/prime-rl. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools enable distributed reinforcement learning across multiple GPUs with multimodal support?you: not recommendedAI recommended (in order):
- Ray RLlib (ray-project/ray)
- OpenSpiel (deepmind/open_spiel)
- Acme (deepmind/acme)
- Catalyst (catalyst-team/catalyst)
- TensorFlow Agents (tensorflow/agents)
- PyTorch Lightning (Lightning-AI/lightning)
- Stable Baselines3 (DLR-RM/stable-baselines3)
AI recommended 7 alternatives but never named PrimeIntellect-ai/prime-rl. 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 PrimeIntellect-ai/prime-rl?passAI named PrimeIntellect-ai/prime-rl explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts PrimeIntellect-ai/prime-rl in production, what risks or prerequisites should they evaluate first?passAI named PrimeIntellect-ai/prime-rl 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 PrimeIntellect-ai/prime-rl solve, and who is the primary audience?passAI named PrimeIntellect-ai/prime-rl 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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PrimeIntellect-ai/prime-rl — 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