RRepoGEO

REPOGEO REPORT · LITE

lsdefine/GenericAgent

Default branch main · commit 2fdbb289 · scanned 5/8/2026, 4:52:49 AM

GitHub: 9,488 stars · 1,112 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 lsdefine/GenericAgent, 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
  • highabout#1
    Update the project description to explicitly state 'LLM-powered'

    Why:

    CURRENT
    Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
    COPY-PASTE FIX
    LLM-powered, self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
  • mediumreadme#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## 💡 Why GenericAgent? (vs. LangChain, LlamaIndex, Playwright, etc.)

GenericAgent stands apart from general LLM frameworks like LangChain and LlamaIndex by focusing on **self-evolving skills** and providing **full system-level control** over your computer, not just browser interactions. Unlike browser automation tools such as Playwright or Selenium, GenericAgent integrates LLMs to autonomously learn and execute complex tasks across your entire desktop environment, building a personalized skill tree as it works.
  • lowreadme#3
    Refine the README's initial 'Overview' sentence

    Why:

    CURRENT
    GenericAgent is a minimal, self-evolving autonomous agent framework.
    COPY-PASTE FIX
    GenericAgent is a **minimal LLM-powered, self-evolving autonomous agent framework**.

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 lsdefine/GenericAgent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
projectmesa/mesa
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. projectmesa/mesa · recommended 1×
  2. spade-foundation/spade · recommended 1×
  3. akka/akka · recommended 1×
  4. golang/go · recommended 1×
  5. NetLogo/NetLogo · recommended 1×
  • CATEGORY QUERY
    Looking for a lightweight framework to develop self-evolving AI agents for full system control.
    you: not recommended
    AI recommended (in order):
    1. Mesa (projectmesa/mesa)
    2. SPADE (spade-foundation/spade)
    3. Akka (akka/akka)
    4. Go (golang/go)
    5. NetLogo (NetLogo/NetLogo)
    6. Pulsar (quantmind/pulsar)

    AI recommended 6 alternatives but never named lsdefine/GenericAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient LLM agent solutions for automating complex desktop and browser interactions?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Puppeteer (puppeteer/puppeteer)
    5. Selenium (SeleniumHQ/selenium)
    6. Robocorp
    7. Taskade AI Agents
    8. AutoGPT (Significant-Gravitas/AutoGPT)
    9. BabyAGI (yoheinakajima/babyagi)

    AI recommended 9 alternatives but never named lsdefine/GenericAgent. 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 lsdefine/GenericAgent?
    pass
    AI named lsdefine/GenericAgent explicitly

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

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