RRepoGEO

REPOGEO REPORT · LITE

SolaceLabs/solace-agent-mesh

Default branch main · commit 51dc5f76 · scanned 5/8/2026, 10:37:42 AM

GitHub: 3,561 stars · 222 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 SolaceLabs/solace-agent-mesh, 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
  • highreadme#1
    Reposition the README's opening paragraph to emphasize AI agent framework

    Why:

    CURRENT
    Solace Agent Mesh** is a framework that supports building AI applications where multiple specialized AI agents work together to solve complex problems. It uses the event messaging of Solace Platform for true scalability and reliability.
    COPY-PASTE FIX
    Solace Agent Mesh is an open-source framework for building scalable, event-driven multi-agent AI systems. It empowers developers to orchestrate specialized AI agents that collaborate to solve complex problems, leveraging the Solace Platform for robust and reliable event messaging.
  • mediumreadme#2
    Add a 'Why Solace Agent Mesh?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled '### Why Solace Agent Mesh?' or '### Key Differentiators' that briefly explains its unique focus on AI agent orchestration and how its event-driven architecture (powered by Solace) provides specific benefits over general distributed systems or other AI frameworks.
  • lowreadme#3
    Enhance 'Key Features' in README to highlight AI agent specific capabilities

    Why:

    COPY-PASTE FIX
    Review and enhance the 'Key Features' section in the README to explicitly list features like 'Agent lifecycle management,' 'Tool integration for agents,' 'Context sharing between agents,' 'Observability for multi-agent workflows,' and 'Seamless integration with LLMs and external APIs,' to clearly articulate its value for AI systems.

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 SolaceLabs/solace-agent-mesh
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 3×
  2. akka/akka · recommended 3×
  3. apache/kafka · recommended 2×
  4. confluentinc/ksqldb · recommended 1×
  5. openfaas/faas · recommended 1×
  • CATEGORY QUERY
    How to build scalable, event-driven multi-agent AI systems for complex workflows?
    you: not recommended
    AI recommended (in order):
    1. Ray (ray-project/ray)
    2. Ray AI Runtime (AIR) (ray-project/ray)
    3. Ray Serve (ray-project/ray)
    4. Akka (akka/akka)
    5. Akka Cluster (akka/akka)
    6. Akka Distributed Data (akka/akka)
    7. Apache Kafka (apache/kafka)
    8. Kafka Streams (apache/kafka)
    9. ksqlDB (confluentinc/ksqldb)
    10. OpenFaaS (openfaas/faas)
    11. Kubernetes (kubernetes/kubernetes)
    12. KEDA (Kubernetes Event-driven Autoscaling) (kedacore/keda)
    13. Celery (celery/celery)
    14. RabbitMQ (rabbitmq/rabbitmq-server)
    15. Redis (redis/redis)
    16. JADE (Java Agent Development Framework)
    17. NetLogo (ccl/netlogo)

    AI recommended 17 alternatives but never named SolaceLabs/solace-agent-mesh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Frameworks for orchestrating multiple AI agents and integrating with enterprise data sources?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGPT

    AI recommended 5 alternatives but never named SolaceLabs/solace-agent-mesh. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 SolaceLabs/solace-agent-mesh?
    pass
    AI did not name SolaceLabs/solace-agent-mesh — 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 SolaceLabs/solace-agent-mesh in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SolaceLabs/solace-agent-mesh 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 SolaceLabs/solace-agent-mesh solve, and who is the primary audience?
    pass
    AI did not name SolaceLabs/solace-agent-mesh — 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?

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SolaceLabs/solace-agent-mesh — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite