RRepoGEO

REPOGEO REPORT · LITE

kaushikb11/awesome-llm-agents

Default branch main · commit 08227044 · scanned 5/8/2026, 5:02:30 PM

GitHub: 1,466 stars · 273 forks

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 kaushikb11/awesome-llm-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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highreadme#2
    Reposition README opening to highlight value for framework seekers

    Why:

    CURRENT
    A curated list of awesome LLM frameworks and agent development tools.
    COPY-PASTE FIX
    A curated list of awesome LLM frameworks and agent development tools. This repository serves as a comprehensive guide for developers and researchers seeking to explore, compare, and choose the right LLM agent framework for their projects.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a GitHub Pages site, a project website, or the repository URL itself) to the repository's 'About' section.

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 kaushikb11/awesome-llm-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 2×
  3. Haystack · recommended 2×
  4. OpenAI Assistants API · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    What frameworks facilitate building complex applications powered by large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel
    6. Guidance

    AI recommended 6 alternatives but never named kaushikb11/awesome-llm-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to orchestrate multiple AI agents for collaborative problem-solving.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex

    AI recommended 5 alternatives but never named kaushikb11/awesome-llm-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
    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 kaushikb11/awesome-llm-agents?
    pass
    AI did not name kaushikb11/awesome-llm-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 kaushikb11/awesome-llm-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kaushikb11/awesome-llm-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 kaushikb11/awesome-llm-agents solve, and who is the primary audience?
    pass
    AI did not name kaushikb11/awesome-llm-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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kaushikb11/awesome-llm-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