REPOGEO REPORT · LITE
dimensionalOS/dimos
Default branch main · commit c988622e · scanned 6/20/2026, 4:12:12 AM
GitHub: 3,526 stars · 702 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 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
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 FIXrobotics, multi-agent-systems, natural-language-processing, python, hardware-control, operating-system, agents, ai, physical-space, drones, humanoids, quadruped-robots, sdk, no-ros
- highreadme#2Add explicit clarification to README intro about its robotics focus
Why:
CURRENTDimensional is the modern operating system for generalist robotics. We are setting the next-generation SDK standard, integrating with the majority of robot manufacturers.
COPY-PASTE FIXDimensional is the modern operating system for generalist robotics, designed specifically for physical space and hardware platforms, not general-purpose computing. We are setting the next-generation SDK standard, integrating with the majority of robot manufacturers.
- mediumlicense#3Clarify the repository's license in the README
Why:
COPY-PASTE FIXThis project is released under the terms specified in the LICENSE file, which includes [mention specific licenses if known, or state it's a custom license].
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.
- SPADE · recommended 2×
- ROS (Robot Operating System) · recommended 1×
- Hugging Face Transformers · recommended 1×
- spaCy · recommended 1×
- NLTK · recommended 1×
- CATEGORY QUERYHow can I program physical robots using natural language and multi-agent systems?you: not recommendedAI recommended (in order):
- ROS (Robot Operating System)
- Hugging Face Transformers
- spaCy
- NLTK
- JaCaMo
- SPADE
- OpenAI API
- Google Cloud Dialogflow
- Google Cloud Natural Language API
- Universal Robots Polyscope SDK
- Franka Emika Panda SDK
- Boston Dynamics Spot SDK
- Azure Bot Service
- Azure Cognitive Services (LUIS)
- Azure Logic Apps
- Azure Functions
- BehaviorTree.CPP
- py_trees
- NVIDIA Isaac Sim
AI recommended 19 alternatives but never named dimensionalOS/dimos. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a Python framework to build multi-agent robot applications, avoiding ROS complexity.you: not recommendedAI recommended (in order):
- Mesa
- SPADE
- Pyro4
- Dask.distributed
- Faust
- OpenSpiel
AI recommended 6 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 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 dimensionalOS/dimos?passAI 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?passAI 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?passAI named dimensionalOS/dimos 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 dimensionalOS/dimos. 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/dimensionalOS/dimos)<a href="https://repogeo.com/en/r/dimensionalOS/dimos"><img src="https://repogeo.com/badge/dimensionalOS/dimos.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
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