RRepoGEO

REPOGEO REPORT · LITE

meta-pytorch/torchforge

Default branch main · commit b32f06b6 · scanned 6/8/2026, 3:07:52 AM

GitHub: 685 stars · 97 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 meta-pytorch/torchforge, 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.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    pytorch, reinforcement-learning, rl, distributed-training, agentic-rl, meta-pytorch
  • highabout#2
    Align repository description with README's core identity

    Why:

    CURRENT
    PyTorch-native post-training at scale
    COPY-PASTE FIX
    A PyTorch-native agentic RL library for scalable experimentation and infrastructure management.
  • highreadme#3
    Clarify the 'Development paused' warning in the README

    Why:

    CURRENT
    > ⚠️ **Development paused:** Development in Forge has paused. LLM training at PyTorch is being consolidated in torchtitan.
    COPY-PASTE FIX
    > ⚠️ **Development paused:** Development in Forge has paused. This repository is no longer actively maintained for new features in agentic RL. For ongoing PyTorch-native LLM training efforts, please refer to torchtitan.

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.

Recall
0 / 2
0% of queries surface meta-pytorch/torchforge
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RLlib
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RLlib · recommended 2×
  2. CleanRL · recommended 2×
  3. Catalyst.RL · recommended 2×
  4. Tianshou · recommended 1×
  5. TorchRL · recommended 1×
  • CATEGORY QUERY
    Seeking a PyTorch-native library to simplify reinforcement learning experimentation and infrastructure management.
    you: not recommended
    AI recommended (in order):
    1. RLlib
    2. CleanRL
    3. Tianshou
    4. TorchRL
    5. Stable Baselines3 (SB3)
    6. Catalyst.RL

    AI recommended 6 alternatives but never named meta-pytorch/torchforge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable scalable distributed reinforcement learning training on many GPUs using PyTorch?
    you: not recommended
    AI recommended (in order):
    1. RLlib
    2. Catalyst.RL
    3. CleanRL
    4. OpenSpiel
    5. Acme

    AI recommended 5 alternatives but never named meta-pytorch/torchforge. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

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 meta-pytorch/torchforge?
    pass
    AI named meta-pytorch/torchforge explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts meta-pytorch/torchforge in production, what risks or prerequisites should they evaluate first?
    pass
    AI named meta-pytorch/torchforge 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 meta-pytorch/torchforge solve, and who is the primary audience?
    pass
    AI named meta-pytorch/torchforge explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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meta-pytorch/torchforge — RepoGEO report