RRepoGEO

REPOGEO REPORT · LITE

shannhk/hermes-agent-control-room

Default branch main · commit 48a1a5a2 · scanned 6/6/2026, 2:22:40 AM

GitHub: 523 stars · 88 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 shannhk/hermes-agent-control-room, 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
    Clarify README H1 and opening paragraph to emphasize management/operations, not agent building

    Why:

    CURRENT
    # Hermes Agent Control Room
    
    A public template for setting up an **Agent Control Room** first, then scaling from one Hermes agent to direct specialists, orchestrated teams, and automated workflows.
    
    The Agent Control Room is a sidecar repo/folder that documents and governs your Hermes agents. It is **not** an agent itself. It is the system map, operating manual, registry, runbook library, and recovery notebook for the agents you run.
    COPY-PASTE FIX
    # Hermes Agent Control Room: The Operations System for Your Hermes Agents
    
    A public template for setting up an **Agent Control Room** first, then scaling from one Hermes agent to direct specialists, orchestrated teams, and automated workflows. **This is not an agent framework or a tool for building agents.** Instead, it's the dedicated operations system—a sidecar repo/folder that documents, governs, and provides a system map, operating manual, registry, runbook library, and recovery notebook for the Hermes agents you run.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/shannhk/hermes-agent-control-room
  • mediumtopics#3
    Add more specific topics to clarify the repo's focus on agent operations and management

    Why:

    CURRENT
    agent-control-room, ai-agents, hermes-agent, multi-agent, vps
    COPY-PASTE FIX
    agent-control-room, ai-agents, hermes-agent, multi-agent, vps, agent-operations, agent-management, ai-governance, runbooks, orchestration, documentation

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 shannhk/hermes-agent-control-room
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. Microsoft Semantic Kernel · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How can I centrally manage and orchestrate a growing team of AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. Haystack
    4. OpenAI Assistants API
    5. CrewAI
    6. AutoGen
    7. FastAPI
    8. Flask
    9. Redis
    10. Apache Kafka

    AI recommended 10 alternatives but never named shannhk/hermes-agent-control-room. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help document, operate, and scale a multi-agent AI system effectively?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. Kubernetes (K8s)
    3. Prometheus
    4. Grafana
    5. Ray
    6. OpenAPI (Swagger)
    7. Weights & Biases (W&B)
    8. Confluence
    9. Notion

    AI recommended 9 alternatives but never named shannhk/hermes-agent-control-room. 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 shannhk/hermes-agent-control-room?
    pass
    AI named shannhk/hermes-agent-control-room explicitly

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

  • If a team adopts shannhk/hermes-agent-control-room in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shannhk/hermes-agent-control-room 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 shannhk/hermes-agent-control-room solve, and who is the primary audience?
    pass
    AI named shannhk/hermes-agent-control-room explicitly

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

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shannhk/hermes-agent-control-room — 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