RRepoGEO

REPOGEO REPORT · LITE

agiresearch/OpenAGI

Default branch main · commit 26c119e5 · scanned 5/9/2026, 7:42:46 PM

GitHub: 2,263 stars · 206 forks

AI VISIBILITY SCORE
35 /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
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 agiresearch/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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, llm-agents, agent-framework, artificial-general-intelligence, multi-agent-systems, llm-orchestration, ai-research, agi-research
  • highreadme#2
    Reposition the README's opening to emphasize its general framework role

    Why:

    CURRENT
    # OpenAGI: Package for AI Agent Creation
    ...OpenAGI is used as the agent creation package to build agents for AIOS. **Notice:** For building up agents in the AIOS, please migrate to the Cerebrum, which is our latest SDK to connect with AIOS kernel.
    COPY-PASTE FIX
    # OpenAGI: An Open-Source Framework for AI Agent Creation and AGI Research
    OpenAGI is a comprehensive open-source framework designed for developing, evaluating, and benchmarking multi-modal, multi-agent AI systems, particularly in the context of Artificial General Intelligence (AGI) research. It provides a modular package for creating and managing AI agents.
  • mediumreadme#3
    Clarify the relationship between OpenAGI, AIOS, and Cerebrum

    Why:

    CURRENT
    OpenAGI is used as the agent creation package to build agents for AIOS. **Notice:** For building up agents in the AIOS, please migrate to the Cerebrum, which is our latest SDK to connect with AIOS kernel.
    COPY-PASTE FIX
    OpenAGI serves as the foundational package for creating and managing AI agents. For direct integration and building agents specifically within the AIOS kernel, please utilize Cerebrum, our dedicated SDK.

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 agiresearch/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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. CrewAI · recommended 2×
  4. Haystack · recommended 2×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to build autonomous AI agents that integrate large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. CrewAI
    6. Microsoft AutoGen
    7. Haystack

    AI recommended 7 alternatives but never named agiresearch/OpenAGI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for developing intelligent agents with custom tools and expert knowledge?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. Semantic Kernel

    AI recommended 6 alternatives but never named agiresearch/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
    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 agiresearch/OpenAGI?
    pass
    AI named agiresearch/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 agiresearch/OpenAGI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agiresearch/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 agiresearch/OpenAGI solve, and who is the primary audience?
    pass
    AI named agiresearch/OpenAGI explicitly

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

Embed your GEO score

Drop this badge into the README of agiresearch/OpenAGI. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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agiresearch/OpenAGI — 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