RRepoGEO

REPOGEO REPORT · LITE

wanxingai/LightAgent

Default branch main · commit 4517cd78 · scanned 6/27/2026, 8:41:29 AM

GitHub: 1,159 stars · 153 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)

3 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 wanxingai/LightAgent, 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
    Strengthen README's opening paragraph to highlight core differentiators

    Why:

    CURRENT
    LightAgent is an ultra‑lightweight, open‑source framework that now natively supports Skills — letting you compose reusable capabilities with persistent memory, tool use, and tree‑of‑thought reasoning. It streamlines
    COPY-PASTE FIX
    LightAgent is an ultra-lightweight, open-source framework designed to simplify and accelerate the development of performant AI agents. It natively supports multi-agent collaboration, self-learning, and integrates with major LLMs (OpenAI/DeepSeek/Qwen), offering reusable skills, persistent memory, tool use, and tree-of-thought reasoning.
  • mediumhomepage#2
    Add homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://sufe-aiflm-lab.github.io/LightAgent/
  • lowtopics#3
    Add 'self-learning' to repository topics

    Why:

    CURRENT
    agent-framework, agents, ai-agent, llm, mcp, multi-agent, openai, openai-api, python, tool-calling
    COPY-PASTE FIX
    agent-framework, agents, ai-agent, llm, mcp, multi-agent, openai, openai-api, python, tool-calling, self-learning

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 wanxingai/LightAgent
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. AutoGen · recommended 2×
  4. CrewAI · recommended 2×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to build a multi-agent system with memory and support for various LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI
    6. Marvin

    AI recommended 6 alternatives but never named wanxingai/LightAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight open-source framework for building self-learning AI agents with tool-calling capabilities.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. AutoGen
    5. CrewAI
    6. OpenAI Assistants API
    7. Guidance

    AI recommended 7 alternatives but never named wanxingai/LightAgent. 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 wanxingai/LightAgent?
    pass
    AI named wanxingai/LightAgent explicitly

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

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