RRepoGEO

REPOGEO REPORT · LITE

0xNyk/awesome-hermes-agent

Default branch main · commit 665cff59 · scanned 6/25/2026, 9:48:21 PM

GitHub: 4,208 stars · 295 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)

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

AI VISIBILITY SCORE
22 /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
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 0xNyk/awesome-hermes-agent, 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 README opening to clarify repo's role as an ecosystem guide

    Why:

    CURRENT
    > A curated list of skills, tools, integrations, and resources for enhancing your Hermes Agent workflow — the self-improving AI agent built by Nous Research.
    COPY-PASTE FIX
    > This is the definitive curated guide to the Hermes Agent ecosystem. It's a comprehensive list of skills, tools, integrations, and resources to enhance your Hermes Agent workflow, built by Nous Research.
  • mediumtopics#2
    Add more specific topics to emphasize ecosystem and LLM agents

    Why:

    CURRENT
    ai-agents, awesome, awesome-list, hermes-agent, nous-research, skills
    COPY-PASTE FIX
    ai-agents, awesome, awesome-list, hermes-agent, nous-research, skills, agent-ecosystem, llm-agents
  • mediumreadme#3
    Clarify the project's custom license in the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README: `## License
This project includes a custom license. Please refer to the `LICENSE` file for specific terms and conditions.`

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 0xNyk/awesome-hermes-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Baselines3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Baselines3 · recommended 2×
  2. Ray RLlib · recommended 2×
  3. OpenAI Gym · recommended 1×
  4. Farama Gymnasium · recommended 1×
  5. Unity ML-Agents · recommended 1×
  • CATEGORY QUERY
    What tools and integrations are available for self-improving AI agents with learning loops?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Farama Gymnasium
    3. Stable Baselines3
    4. Ray RLlib
    5. Unity ML-Agents
    6. Weights & Biases
    7. MLflow
    8. TensorFlow
    9. PyTorch
    10. Docker
    11. Kubernetes

    AI recommended 11 alternatives but never named 0xNyk/awesome-hermes-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I enhance an autonomous AI agent's capabilities with new skills and resources?
    you: not recommended
    AI recommended (in order):
    1. Ray RLlib
    2. Stable Baselines3
    3. Acme
    4. Dopamine
    5. Neo4j
    6. Apache Jena
    7. Wikidata
    8. OpenAI GPT-4
    9. GPT-3.5 Turbo
    10. Hugging Face Transformers Library
    11. LangChain
    12. LlamaIndex
    13. ROS 2

    AI recommended 13 alternatives but never named 0xNyk/awesome-hermes-agent. 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 0xNyk/awesome-hermes-agent?
    pass
    AI did not name 0xNyk/awesome-hermes-agent — 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 0xNyk/awesome-hermes-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0xNyk/awesome-hermes-agent 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 0xNyk/awesome-hermes-agent solve, and who is the primary audience?
    pass
    AI did not name 0xNyk/awesome-hermes-agent — 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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0xNyk/awesome-hermes-agent — 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