RRepoGEO

REPOGEO REPORT · LITE

Atmosphere/atmosphere

Default branch main · commit db6d0831 · scanned 5/13/2026, 12:16:50 AM

GitHub: 3,766 stars · 757 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 Atmosphere/atmosphere, 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
    Update README H1 and opening sentence to clarify identity and purpose

    Why:

    CURRENT
    <h1 align="center">Atmosphere</h1>

<p align="center">
  A framework for building streaming AI agents on the JVM. Atmosphere owns the transport layer — tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe.
</p>
    COPY-PASTE FIX
    <h1 align="center">Atmosphere: Real-time Transport for Java AI Agents</h1>

<p align="center">
  This is the *new* Atmosphere, a dedicated framework for building streaming AI agents on the JVM, distinct from the legacy Atmosphere web framework. It uniquely owns the transport layer — tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe.
</p>
  • mediumtopics#2
    Add more specific topics to reinforce AI agent transport focus

    Why:

    CURRENT
    acp, agentic-ai, embabel, event-driven, java, koog, langchain4j, mcp, multiagent, quarkus, spring-ai, spring-boot, sse, websocket
    COPY-PASTE FIX
    acp, agentic-ai, embabel, event-driven, java, koog, langchain4j, mcp, multiagent, quarkus, spring-ai, spring-boot, sse, websocket, llm-agents, ai-transport, real-time-ai, agent-communication, http3, webtransport
  • lowreadme#3
    Add a 'Why Atmosphere for AI Agents?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README, for example, under the heading `## Why Atmosphere for AI Agents?` with content similar to: 'Unlike general streaming platforms (e.g., Apache Kafka, Flink) or traditional multi-agent systems (e.g., JADE, Akka), Atmosphere provides a dedicated, opinionated transport layer specifically for modern LLM-based AI agents. It handles the unique complexities of AI agent communication, including tool calling, memory, and multi-protocol support, allowing developers to focus on agent logic rather than infrastructure.'

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 Atmosphere/atmosphere
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
akka/akka
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. akka/akka · recommended 2×
  2. apache/flink · recommended 1×
  3. apache/kafka · recommended 1×
  4. Flink ML · recommended 1×
  5. eclipse/deeplearning4j · recommended 1×
  • CATEGORY QUERY
    How to build real-time streaming AI agents on JVM supporting multiple communication protocols?
    you: not recommended
    AI recommended (in order):
    1. Apache Flink (apache/flink)
    2. Apache Kafka (apache/kafka)
    3. Flink ML
    4. DeepLearning4J (DL4J) (eclipse/deeplearning4j)
    5. Kafka Connect
    6. Netty (netty/netty)
    7. Apache Camel (apache/camel)
    8. Akka Streams (akka/akka)
    9. Akka Actors (akka/akka)
    10. Apache Pulsar (apache/pulsar)
    11. Akka HTTP (akka/akka-http)
    12. Akka gRPC (akka/akka-grpc)
    13. Spring Cloud Stream (spring-cloud/spring-cloud-stream)
    14. RabbitMQ
    15. Spring AI (spring-projects/spring-ai)
    16. Spring WebFlux
    17. Spring Integration (spring-projects/spring-integration)
    18. Apache Samza (apache/samza)
    19. ONNX Runtime (microsoft/onnxruntime)
    20. TensorFlow Lite
    21. Quarkus (quarkusio/quarkus)
    22. Eclipse Paho MQTT client (eclipse/paho.mqtt.java)
    23. RESTEasy Reactive

    AI recommended 23 alternatives but never named Atmosphere/atmosphere. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Java framework to develop multi-agent systems with robust real-time communication.
    you: not recommended
    AI recommended (in order):
    1. JADE
    2. Akka
    3. Apache MINA
    4. Vert.x
    5. Spring Integration

    AI recommended 5 alternatives but never named Atmosphere/atmosphere. 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 Atmosphere/atmosphere?
    pass
    AI named Atmosphere/atmosphere explicitly

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

  • If a team adopts Atmosphere/atmosphere in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Atmosphere/atmosphere 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 Atmosphere/atmosphere solve, and who is the primary audience?
    pass
    AI named Atmosphere/atmosphere 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 Atmosphere/atmosphere. 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/Atmosphere/atmosphere.svg)](https://repogeo.com/en/r/Atmosphere/atmosphere)
HTML
<a href="https://repogeo.com/en/r/Atmosphere/atmosphere"><img src="https://repogeo.com/badge/Atmosphere/atmosphere.svg" alt="RepoGEO" /></a>
Pro

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Atmosphere/atmosphere — 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