RRepoGEO

REPOGEO REPORT · LITE

GradientHQ/symphony-coord

Default branch main · commit 57662d4d · scanned 6/7/2026, 10:38:11 AM

GitHub: 871 stars · 125 forks

AI VISIBILITY SCORE
23 /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
2 / 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 GradientHQ/symphony-coord, 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
    Reposition the README's opening to specify its niche

    Why:

    CURRENT
    Symphony-Coord: Emergent Coordination in Decentralized Agent Systems
    COPY-PASTE FIX
    Symphony-Coord is a decentralized multi-agent framework designed for emergent coordination in large-scale, multi-node, multi-GPU AI model training workloads. It optimizes agent selection as an online multi-armed bandit problem, enabling dynamic role emergence and efficient task routing.
  • highabout#2
    Add a concise 'About' description for the repository

    Why:

    COPY-PASTE FIX
    Decentralized multi-agent framework for emergent coordination in large-scale, multi-node, multi-GPU AI model training. Uses online multi-armed bandits for dynamic agent selection and task routing.

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 GradientHQ/symphony-coord
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Akka
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Akka · recommended 1×
  2. Ray · recommended 1×
  3. Apache Flink · recommended 1×
  4. Erlang/OTP · recommended 1×
  5. Hyperledger Fabric · recommended 1×
  • CATEGORY QUERY
    How to build a decentralized multi-agent system with emergent roles and task coordination?
    you: not recommended
    AI recommended (in order):
    1. Akka
    2. Ray
    3. Apache Flink
    4. Erlang/OTP
    5. Hyperledger Fabric
    6. Apache Kafka
    7. JADE

    AI recommended 7 alternatives but never named GradientHQ/symphony-coord. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Framework for dynamic agent selection and task routing in a multi-agent AI system?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LangChain
    3. CrewAI
    4. AutoGen
    5. SPADE (Smart Python multi-Agent Development Environment)

    AI recommended 5 alternatives but never named GradientHQ/symphony-coord. 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 GradientHQ/symphony-coord?
    pass
    AI did not name GradientHQ/symphony-coord — likely talking about a different project

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

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

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

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GradientHQ/symphony-coord — 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