RRepoGEO

REPOGEO REPORT · LITE

fetchai/uAgents

Default branch main · commit 6ab225b5 · scanned 5/8/2026, 11:56:59 PM

GitHub: 1,589 stars · 348 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 fetchai/uAgents, 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 statement to emphasize decentralization

    Why:

    CURRENT
    uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python.
    COPY-PASTE FIX
    uAgents is a lightweight Python framework by Fetch.ai for building and orchestrating autonomous, decentralized AI agents that can interact securely on a blockchain-powered network.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://fetch.ai
  • lowreadme#3
    Add a 'Why uAgents?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why uAgents?' or 'Comparison' that explains how uAgents uniquely enables decentralized, blockchain-connected multi-agent systems, differentiating it from general-purpose AI agent frameworks like LangChain or CrewAI.

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 fetchai/uAgents
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. OpenAI GPT · recommended 1×
  3. IPFS · recommended 1×
  4. Filecoin · recommended 1×
  5. Ethereum · recommended 1×
  • CATEGORY QUERY
    How to build autonomous AI agents that can interact in a decentralized network?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT
    2. LangChain
    3. IPFS
    4. Filecoin
    5. Ethereum
    6. Polygon
    7. Fetch.ai Agent Framework
    8. AEAs
    9. Open Economic Framework (OEF)
    10. Autogen
    11. Gnosis Chain
    12. Arbitrum
    13. OpenAI Assistants API
    14. Ceramic Network
    15. Polygon ID
    16. Hugging Face Transformers
    17. Libp2p
    18. Cosmos SDK
    19. AgentVerse
    20. Arweave
    21. Avalanche

    AI recommended 21 alternatives but never named fetchai/uAgents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight Python framework to develop and manage multiple AI agents.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. Haystack
    4. LiteLLM
    5. FastAPI
    6. Flask

    AI recommended 6 alternatives but never named fetchai/uAgents. 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 fetchai/uAgents?
    pass
    AI named fetchai/uAgents explicitly

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

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

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

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fetchai/uAgents — 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