RRepoGEO

REPOGEO REPORT · LITE

aiplanethub/openagi

Default branch main · commit 165dd093 · scanned 6/15/2026, 2:51:48 PM

GitHub: 614 stars · 128 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 aiplanethub/openagi, 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
    Integrate core differentiators into the README's opening statement

    Why:

    CURRENT
    OpenAGI aims to make human-like agents accessible to everyone, thereby paving the way towards open agents and, eventually, AGI for everyone. We strongly believe in the transformative power of AI and are confident that this initiative will significantly contribute to solving many real-life problems. Currently, OpenAGI is designed to offer developers a framework for creating autonomous human-like agents.
    COPY-PASTE FIX
    OpenAGI is a modular framework designed to simplify the development, evaluation, and benchmarking of autonomous human-like AI agents. It aims to make advanced agent systems accessible to everyone, paving the way towards open agents and AGI by providing a robust platform for research and real-world problem-solving.
  • mediumtopics#2
    Add more specific topics related to agent development and evaluation

    Why:

    CURRENT
    agents, agi, generative-ai, hacktoberfest, hacktoberfest-accepted, hacktoberfest2023, hacktoberfest2024, large-language-models, llm, openagi, openai
    COPY-PASTE FIX
    agents, agi, generative-ai, hacktoberfest, hacktoberfest-accepted, hacktoberfest2023, hacktoberfest2024, large-language-models, llm, openagi, openai, ai-agents, agent-framework, multi-agent-systems, agent-evaluation, ai-benchmarking, autonomous-ai
  • lowabout#3
    Refine the repository description to highlight its framework and evaluation capabilities

    Why:

    CURRENT
    Paving the way for open agents and AGI for all.
    COPY-PASTE FIX
    A modular framework for developing, evaluating, and benchmarking autonomous human-like AI agents, paving the way for open agents and AGI for all.

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 aiplanethub/openagi
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. LlamaIndex · recommended 1×
  3. AutoGen · recommended 1×
  4. Haystack · recommended 1×
  5. BabyAGI / Auto-GPT · recommended 1×
  • CATEGORY QUERY
    What frameworks exist for building autonomous AI agents capable of human-like interaction?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. BabyAGI / Auto-GPT

    AI recommended 5 alternatives but never named aiplanethub/openagi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library to develop and deploy self-improving AI agents easily.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. BabyAGI (yoheinakajima/babyagi)
    6. CrewAI (joaomdmoura/crewai)
    7. OpenAI Python Library (openai/openai-python)
    8. Transformers (huggingface/transformers)

    AI recommended 8 alternatives but never named aiplanethub/openagi. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 aiplanethub/openagi?
    pass
    AI named aiplanethub/openagi explicitly

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

  • If a team adopts aiplanethub/openagi in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aiplanethub/openagi 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 aiplanethub/openagi solve, and who is the primary audience?
    pass
    AI named aiplanethub/openagi explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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