RRepoGEO

REPOGEO REPORT · LITE

KwaiKEG/KwaiAgents

Default branch main · commit 3504ab8a · scanned 5/10/2026, 1:27:46 AM

GitHub: 1,197 stars · 112 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 KwaiKEG/KwaiAgents, 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 opening to highlight "Auto-GPT alternative" and "information-seeking"

    Why:

    COPY-PASTE FIX
    KwaiAgents is an open-source, generalized information-seeking agent system built with LLMs, offering a lightweight and performant alternative to projects like Auto-GPT and BabyAGI for developing autonomous agents.
  • mediumabout#2
    Add a homepage URL to the repository's "About" section

    Why:

    COPY-PASTE FIX
    http://arxiv.org/abs/2312.04889
  • mediumreadme#3
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) from LICENSE file]. Please refer to the LICENSE file for full details.

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 KwaiKEG/KwaiAgents
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 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How can I build an information-seeking autonomous agent using large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. CrewAI
    6. OpenAI Assistants API
    7. Microsoft Semantic Kernel

    AI recommended 7 alternatives but never named KwaiKEG/KwaiAgents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source, lightweight alternative to Auto-GPT for agent development.
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. LangChain
    3. LlamaIndex
    4. AutoGen
    5. BabyAGI

    AI recommended 5 alternatives but never named KwaiKEG/KwaiAgents. 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 KwaiKEG/KwaiAgents?
    pass
    AI named KwaiKEG/KwaiAgents explicitly

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

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

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

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KwaiKEG/KwaiAgents — 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