RRepoGEO

REPOGEO REPORT · LITE

agentscope-ai/agentscope-java

Default branch main · commit 2a2d8b9d · scanned 6/24/2026, 12:43:15 AM

GitHub: 4,018 stars · 864 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
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 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 Apache-2.0 license text.
  • highreadme#2
    Strengthen README's opening paragraph to highlight multi-agent orchestration in Java

    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 comprehensive **multi-agent orchestration framework** specifically designed for building production-ready LLM applications in **Java**. Unlike generic LLM SDKs, it provides everything you need to create intelligent, collaborative agents: ReAct reasoning, robust tool calling, memory management, and seamless multi-agent collaboration.
  • mediumtopics#3
    Add 'java' and 'multi-agent' to repository topics

    Why:

    CURRENT
    agent, agentic, agentic-ai, ai, llm
    COPY-PASTE FIX
    agent, agentic, agentic-ai, ai, llm, java, multi-agent

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
LangChain4j
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain4j · recommended 2×
  2. Spring AI · recommended 2×
  3. Quarkus AI · recommended 1×
  4. JAC · recommended 1×
  5. Akka · recommended 1×
  • CATEGORY QUERY
    How to build intelligent multi-agent LLM applications using Java?
    you: not recommended
    AI recommended (in order):
    1. LangChain4j
    2. Spring AI
    3. Quarkus AI
    4. JAC
    5. Akka
    6. Apache Flink
    7. Apache Kafka Streams
    8. OpenAI Java Client
    9. Hugging Face Transformers Java API

    AI recommended 9 alternatives but never named agentscope-ai/agentscope-java. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Java frameworks support ReAct reasoning and tool calling for AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain4j
    2. Spring AI
    3. Dify
    4. FlowiseAI
    5. OpenAI Java SDK
    6. Google Cloud Client Library for Generative AI (Java)
    7. Hugging Face Transformers.java

    AI recommended 7 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 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?

  • 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

Drop this badge into the README of agentscope-ai/agentscope-java. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/agentscope-ai/agentscope-java.svg)](https://repogeo.com/en/r/agentscope-ai/agentscope-java)
HTML
<a href="https://repogeo.com/en/r/agentscope-ai/agentscope-java"><img src="https://repogeo.com/badge/agentscope-ai/agentscope-java.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

agentscope-ai/agentscope-java — 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