RRepoGEO

REPOGEO REPORT · LITE

sentient-agi/ROMA

Default branch main · commit a6e3bb4f · scanned 6/18/2026, 7:31:55 AM

GitHub: 5,078 stars · 772 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 sentient-agi/ROMA, 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 specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    multi-agent-systems, agent-framework, agi, recursive-agents, meta-agents, high-performance, orchestration, ai-agents, python, machine-learning
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository. If the project is intended to be open source, choose a standard SPDX-compliant license (e.g., MIT, Apache-2.0, GPL-3.0) and add its text to this file.
  • highreadme#3
    Strengthen README's opening to emphasize 'framework' and 'orchestration'

    Why:

    CURRENT
    <p align="center">
  <strong>Building hierarchical high-performance multi-agent systems made easy! (Beta) </strong>
</p>
    COPY-PASTE FIX
    <p align="center">
  <strong>ROMA is a powerful framework for building and orchestrating hierarchical, high-performance multi-agent systems. (Beta) </strong>
</p>

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 sentient-agi/ROMA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mesa
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mesa · recommended 1×
  2. Anylogic · recommended 1×
  3. NetLogo · recommended 1×
  4. GAMA Platform · recommended 1×
  5. Ray RLib · recommended 1×
  • CATEGORY QUERY
    How can I easily build hierarchical and high-performance multi-agent systems?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. Anylogic
    3. NetLogo
    4. GAMA Platform
    5. Ray RLib
    6. SPADE

    AI recommended 6 alternatives but never named sentient-agi/ROMA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps orchestrate multiple AI agents for complex, high-performance tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. Haystack
    4. AutoGPT
    5. CrewAI
    6. LlamaIndex

    AI recommended 6 alternatives but never named sentient-agi/ROMA. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 sentient-agi/ROMA?
    pass
    AI named sentient-agi/ROMA explicitly

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

  • If a team adopts sentient-agi/ROMA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sentient-agi/ROMA 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 sentient-agi/ROMA solve, and who is the primary audience?
    pass
    AI named sentient-agi/ROMA 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 sentient-agi/ROMA. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/sentient-agi/ROMA.svg)](https://repogeo.com/en/r/sentient-agi/ROMA)
HTML
<a href="https://repogeo.com/en/r/sentient-agi/ROMA"><img src="https://repogeo.com/badge/sentient-agi/ROMA.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

sentient-agi/ROMA — 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