RRepoGEO

REPOGEO REPORT · LITE

fetchai/uAgents

Default branch main · commit c210bbea · scanned 6/18/2026, 6:41:42 PM

GitHub: 1,587 stars · 348 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
  • highhomepage#1
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project website or documentation URL to the repository's 'About' section (homepage field).
  • highreadme#2
    Reposition the README's opening paragraph to emphasize decentralization and multi-agent systems

    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 fast and lightweight framework by Fetch.ai for creating autonomous, decentralized AI agents in Python, designed for secure, peer-to-peer communication and coordination across distributed networks.
  • mediumcomparison#3
    Add a 'Comparison' or 'Why uAgents?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'uAgents vs. Other Frameworks', that briefly explains how uAgents differs from general LLM orchestration tools (like LangChain/AutoGPT) and traditional multi-agent frameworks (like SPADE/JADE), emphasizing its decentralized, blockchain-native approach.

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
OpenAI GPT-3.5/GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-3.5/GPT-4 · recommended 1×
  2. LangChain · recommended 1×
  3. Web3.py · recommended 1×
  4. Ethers.py · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to build autonomous AI agents in Python for decentralized applications?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-3.5/GPT-4
    2. LangChain
    3. Web3.py
    4. Ethers.py
    5. AutoGPT
    6. BabyAGI
    7. OpenAI Assistants API
    8. Hugging Face Transformers
    9. Gnosis Safe
    10. IPFS (InterPlanetary File System)
    11. Arweave

    AI recommended 11 alternatives but never named fetchai/uAgents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Lightweight framework for developing secure, interconnected multi-agent systems easily?
    you: not recommended
    AI recommended (in order):
    1. SPADE
    2. JADE
    3. Mesa
    4. Akka
    5. Pyro4
    6. AI Horde

    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?

Embed your GEO score

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MARKDOWN (README)
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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