RRepoGEO

REPOGEO REPORT · LITE

dimensionalOS/dimos

Default branch main · commit 2a430b55 · scanned 5/10/2026, 5:46:42 AM

GitHub: 3,217 stars · 587 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 dimensionalOS/dimos, 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.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening sentence for AI clarity

    Why:

    CURRENT
    Dimensional is the modern operating system for generalist robotics.
    COPY-PASTE FIX
    Dimensional is the agentic operating system for generalist robotics, enabling natural language control and multi-agent systems for physical hardware like humanoids, quadrupeds, and drones.
  • mediumreadme#2
    Add a clear statement about the project's license to the README

    Why:

    COPY-PASTE FIX
    This project is released under [Your Specific License Name(s)]. Please see the [LICENSE](LICENSE) file for full details.

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 dimensionalOS/dimos
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS (Robot Operating System)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS (Robot Operating System) · recommended 1×
  2. ROS 2 · recommended 1×
  3. Python · recommended 1×
  4. NLTK · recommended 1×
  5. spaCy · recommended 1×
  • CATEGORY QUERY
    How can I program robots with natural language for multi-agent physical systems?
    you: not recommended
    AI recommended (in order):
    1. ROS (Robot Operating System)
    2. ROS 2
    3. Python
    4. NLTK
    5. spaCy
    6. Hugging Face Transformers
    7. OpenAI GPT-3/GPT-4 API
    8. MoveIt!
    9. Google Robotics Transformer (RT-1/RT-2)
    10. Google Robotics Transformer (RT-2)
    11. OpenAI's CLIP
    12. DALL-E 2/3
    13. Project Bonsai
    14. NVIDIA Isaac Sim
    15. NVIDIA Isaac ROS
    16. NVIDIA Omniverse
    17. Stable Baselines3
    18. Ray RLlib
    19. Gymnasium (formerly OpenAI Gym)

    AI recommended 19 alternatives but never named dimensionalOS/dimos. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What is a good Python SDK for controlling various robots without needing ROS?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. URX
    3. pybullet
    4. Modern Robotics (MR)
    5. Robot Operating System (ROS)
    6. rospy
    7. Frank Emika Panda
    8. Rethink Robotics (Sawyer/Baxter)
    9. Doosan Robotics
    10. FANUC
    11. KUKA
    12. ABB

    AI recommended 12 alternatives but never named dimensionalOS/dimos. 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 dimensionalOS/dimos?
    pass
    AI named dimensionalOS/dimos explicitly

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

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

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

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dimensionalOS/dimos — 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