RRepoGEO

REPOGEO REPORT · LITE

jjyaoao/HelloAgents

Default branch main · commit 15796e8a · scanned 5/15/2026, 6:42:18 AM

GitHub: 1,640 stars · 421 forks

AI VISIBILITY SCORE
28 /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
2 / 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 jjyaoao/HelloAgents, 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
  • highabout#1
    Update repository description to emphasize production framework status

    Why:

    CURRENT
    A agent framework based on the tutorial hello-agents
    COPY-PASTE FIX
    A production-grade multi-agent framework for building complex LLM applications, featuring tool protocols, context management, session persistence, and sub-agent mechanisms.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://[your-project-website-or-docs-url]
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Please refer to the [LICENSE](LICENSE) file for full details.

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 jjyaoao/HelloAgents
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. AutoGen · recommended 2×
  4. CrewAI · recommended 2×
  5. Haystack · recommended 2×
  • CATEGORY QUERY
    How to build robust multi-agent systems with tool use and persistent sessions?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. RedisChatMessageHistory
    3. PostgresChatMessageHistory
    4. LangGraph
    5. LlamaIndex
    6. Chroma
    7. Pinecone
    8. Weaviate
    9. AutoGen
    10. CrewAI
    11. Haystack
    12. ElasticsearchDocumentStore
    13. PineconeDocumentStore
    14. Open Interpreter

    AI recommended 14 alternatives but never named jjyaoao/HelloAgents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps manage LLM context, tool integration, and sub-agents for complex applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGen
    6. CrewAI

    AI recommended 6 alternatives but never named jjyaoao/HelloAgents. 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 jjyaoao/HelloAgents?
    pass
    AI named jjyaoao/HelloAgents explicitly

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

  • If a team adopts jjyaoao/HelloAgents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jjyaoao/HelloAgents 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 jjyaoao/HelloAgents solve, and who is the primary audience?
    pass
    AI did not name jjyaoao/HelloAgents — 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?

Embed your GEO score

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MARKDOWN (README)
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Pro

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jjyaoao/HelloAgents — 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