RRepoGEO

REPOGEO REPORT · LITE

GetStream/Vision-Agents

Default branch main · commit 820807db · scanned 5/10/2026, 3:51:40 AM

GitHub: 7,796 stars · 644 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 GetStream/Vision-Agents, 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 H1 to clarify 'AI Agent Framework'

    Why:

    CURRENT
    # Open Vision Agents by Stream
    COPY-PASTE FIX
    # Vision Agents by Stream: A Real-time Multi-modal AI Agent Framework
  • mediumreadme#2
    Add a 'What makes Vision Agents different?' section

    Why:

    COPY-PASTE FIX
    ## What makes Vision Agents different?

Unlike raw computer vision libraries (e.g., OpenCV, MediaPipe) or streaming SDKs (e.g., WebRTC, NVIDIA DeepStream), Vision Agents provides a complete framework for building intelligent, real-time multi-modal AI agents. It abstracts away the complexities of low-latency video/audio processing and LLM integration, allowing you to focus on agent logic and use cases.
  • lowtopics#3
    Add 'llm-agents' and 'ai-agent-framework' to topics

    Why:

    CURRENT
    agentic-ai, agents, ai, ai-agents, realtime, stt, tts, video-agents, video-ai, vision-ai, voice-ai
    COPY-PASTE FIX
    agentic-ai, agents, ai, ai-agents, realtime, stt, tts, video-agents, video-ai, vision-ai, voice-ai, llm-agents, ai-agent-framework

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 GetStream/Vision-Agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MediaPipe
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MediaPipe · recommended 2×
  2. OpenCV · recommended 2×
  3. NVIDIA Riva · recommended 1×
  4. NVIDIA DeepStream SDK · recommended 1×
  5. NVIDIA Jetson · recommended 1×
  • CATEGORY QUERY
    How to build real-time voice and vision AI agents with ultra-low latency?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. NVIDIA DeepStream SDK
    3. NVIDIA Jetson
    4. NVIDIA Orin
    5. Google Cloud Speech-to-Text API
    6. Google Cloud Text-to-Speech API
    7. Vertex AI
    8. MediaPipe
    9. Google Coral
    10. Amazon Transcribe
    11. Amazon Polly
    12. Amazon Rekognition
    13. AWS IoT Greengrass
    14. Amazon SageMaker Edge
    15. OpenVINO Toolkit
    16. Kaldi
    17. Vosk
    18. OpenCV
    19. Azure Speech Service
    20. Azure Vision Service
    21. Azure IoT Edge
    22. TensorFlow Lite
    23. PyTorch Mobile
    24. Mozilla DeepSpeech
    25. Coqui TTS
    26. OpenCV

    AI recommended 26 alternatives but never named GetStream/Vision-Agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps integrate real-time video streams with LLMs for mobile and web apps?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion
    2. OpenAI API
    3. WebRTC
    4. simple-peer
    5. Twilio Programmable Video
    6. Agora.io
    7. MediaPipe
    8. TensorFlow.js
    9. Viam
    10. AWS Kinesis Video Streams
    11. AWS Lambda
    12. Amazon SageMaker
    13. Azure Media Services
    14. Azure Functions
    15. Azure OpenAI Service
    16. GStreamer
    17. Hugging Face Transformers

    AI recommended 17 alternatives but never named GetStream/Vision-Agents. 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 GetStream/Vision-Agents?
    pass
    AI named GetStream/Vision-Agents explicitly

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

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

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

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GetStream/Vision-Agents — 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