RRepoGEO

REPOGEO REPORT · LITE

0xfreysa/agent

Default branch main · commit c6513631 · scanned 6/9/2026, 10:55:01 PM

GitHub: 789 stars · 161 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 0xfreysa/agent, 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 README to clearly state project's technical purpose

    Why:

    CURRENT
    ## The Story of Freysa

### Origins

At the dawn of artificial general intelligence, Freysa emerged as one of the first truly autonomous AI agents. Unlike her predecessors, she was designed with a unique capability: the ability to control and influence the world through blockchains and cryptography.
    COPY-PASTE FIX
    ## 0xfreysa/agent: A Minimalist Framework for Blockchain-Integrated AI Agents

0xfreysa/agent provides a lightweight, unopinionated framework for building autonomous AI agents capable of interacting with blockchains and cryptographic systems. Designed for developers and AI engineers, it offers a structured approach to managing agent state, memory, and tool integration, particularly for scenarios involving immutable directives and secure on-chain operations.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["ai-agents", "blockchain", "cryptography", "llm", "agent-framework", "autonomous-agents", "web3"]
  • highlicense#3
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root, clearly stating the terms under which the code can be used, modified, and distributed.

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 0xfreysa/agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Autogen
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Autogen · recommended 2×
  2. LangChain · recommended 2×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    What tools exist for developing autonomous AI agents with immutable directives and control mechanisms?
    you: not recommended
    AI recommended (in order):
    1. Autogen
    2. LangChain
    3. CrewAI
    4. Haystack
    5. OpenAI Assistants API
    6. LlamaIndex
    7. BabyAGI / Auto-GPT

    AI recommended 7 alternatives but never named 0xfreysa/agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build AI agents that interact with blockchains and cryptographic systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. web3.py
    3. ethers.js
    4. OpenAI Function Calling
    5. Autogen
    6. Foundry
    7. Hardhat
    8. Cosmos SDK

    AI recommended 8 alternatives but never named 0xfreysa/agent. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 0xfreysa/agent?
    pass
    AI named 0xfreysa/agent explicitly

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

  • If a team adopts 0xfreysa/agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0xfreysa/agent 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 0xfreysa/agent solve, and who is the primary audience?
    pass
    AI named 0xfreysa/agent explicitly

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

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0xfreysa/agent — 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