RRepoGEO

REPOGEO REPORT · LITE

kyrolabs/awesome-agents

Default branch main · commit 7e46ebc4 · scanned 5/25/2026, 6:08:25 PM

GitHub: 2,351 stars · 585 forks

AI VISIBILITY SCORE
17 /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
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 kyrolabs/awesome-agents, 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 to clarify its role as a discovery resource

    Why:

    CURRENT
    Awesome Agents is a curated list of open-source tools and products to build AI agents.
    COPY-PASTE FIX
    Awesome Agents is a curated list of open-source tools and products to build AI agents, serving as a comprehensive directory for discovering the best resources in the field.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    awesome-list, ai-agents, artificial-intelligence, llm-agents, agent-frameworks, agent-tools
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root, or explicitly state the chosen license(s) in the README if a custom license is intended.

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 kyrolabs/awesome-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. AutoGen · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    What are the best open-source frameworks for developing custom AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. OpenAI Assistants API
    6. AgentVerse
    7. Transformers Agents

    AI recommended 7 alternatives but never named kyrolabs/awesome-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools to build AI agents with browser automation and multi-channel communication.
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. LangChain
    3. Twilio
    4. Slack API
    5. Puppeteer
    6. Selenium
    7. Autogen
    8. Browserless.io
    9. Robocorp
    10. Robot Framework
    11. Voiceflow
    12. Botpress

    AI recommended 12 alternatives but never named kyrolabs/awesome-agents. 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 kyrolabs/awesome-agents?
    pass
    AI did not name kyrolabs/awesome-agents — 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 kyrolabs/awesome-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kyrolabs/awesome-agents 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 kyrolabs/awesome-agents solve, and who is the primary audience?
    pass
    AI did not name kyrolabs/awesome-agents — 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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kyrolabs/awesome-agents — 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