RRepoGEO

REPOGEO REPORT · LITE

agentscope-ai/agentscope-java

Default branch main · commit c3f302c9 · scanned 5/13/2026, 1:42:07 PM

GitHub: 2,952 stars · 627 forks

AI VISIBILITY SCORE
28 /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
2 / 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 agentscope-ai/agentscope-java, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen open-source license (e.g., Apache-2.0, MIT, GPL-3.0).
  • highreadme#2
    Strengthen README's opening to emphasize modern LLM-powered agents

    Why:

    CURRENT
    AgentScope Java is an agent-oriented programming framework for building LLM-powered applications. It provides everything you need to create intelligent agents: ReAct reasoning, tool calling, memory management, multi-agent collaboration, and more.
    COPY-PASTE FIX
    AgentScope Java is a cutting-edge, agent-oriented programming framework specifically designed for building modern LLM-powered applications. Unlike traditional agent systems, it provides everything you need to create intelligent, adaptable agents with ReAct reasoning, tool calling, memory management, and multi-agent collaboration.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agent, agentic, agentic-ai, ai, llm
    COPY-PASTE FIX
    agent, agentic, agentic-ai, ai, llm, java, generative-ai, large-language-models

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 agentscope-ai/agentscope-java
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spring AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring AI · recommended 1×
  2. LangChain4j · recommended 1×
  3. Dify · recommended 1×
  4. LlamaIndex · recommended 1×
  5. OpenAI Java Library · recommended 1×
  • CATEGORY QUERY
    What are robust Java frameworks for building production-ready LLM-powered AI agents?
    you: not recommended
    AI recommended (in order):
    1. Spring AI
    2. LangChain4j
    3. Dify
    4. LlamaIndex
    5. OpenAI Java Library

    AI recommended 5 alternatives but never named agentscope-ai/agentscope-java. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement adaptable AI agents in Java with runtime control and multi-agent collaboration?
    you: not recommended
    AI recommended (in order):
    1. JADE (Java Agent Development Framework)
    2. Akka
    3. Apache MINA (Multi-purpose Infrastructure for Network Applications)
    4. Spring Boot
    5. Spring Integration
    6. Drools

    AI recommended 6 alternatives but never named agentscope-ai/agentscope-java. 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 agentscope-ai/agentscope-java?
    pass
    AI named agentscope-ai/agentscope-java explicitly

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

  • If a team adopts agentscope-ai/agentscope-java in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name agentscope-ai/agentscope-java — likely talking about a different project

    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 agentscope-ai/agentscope-java solve, and who is the primary audience?
    pass
    AI named agentscope-ai/agentscope-java 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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agentscope-ai/agentscope-java — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite