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Vision-Agents

> AI 编程
开源

通过 Stream 开发视觉智能代理。使用任何模型或视频提供商快速构建语音和视觉智能代理。使用 Stream 的边缘网络实现超低延迟。

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工具介绍

通过 Stream 开发视觉智能代理。使用任何模型或视频提供商快速构建语音和视觉智能代理。使用 Stream 的边缘网络实现超低延迟。

Open Vision Agents by Stream

Multi-modal AI agents that watch, listen, and understand video.

Vision Agents give you the building blocks to create intelligent, low-latency video experiences powered by your models, your infrastructure, and your use cases.

Key Highlights

  • Video AI: Built for real-time video AI. Combine YOLO, Roboflow, and others with Gemini/OpenAI in real-time.
  • Low Latency: Join quickly (500ms) and maintain audio/video latency under 30ms using Stream's edge network.
  • Open: Built by Stream, but works with any video edge network.
  • Native APIs: Native SDK methods from OpenAI (create response), Gemini (generate), and Claude ( create message) — always access the latest LLM capabilities.
  • SDKs: SDKs for React, Android, iOS, Flutter, React Native, and Unity, powered by Stream's ultra-low-latency network.

Getting Started

Step 1: Install via uv

uv add vision-agents

Step 2: (Optional) Install with extra integrations

uv add "vision-agents[getstream, openai, elevenlabs, deepgram]"

Step 3: Obtain your Stream API credentials

Get a free API key from Stream. Developers receive 333,000 participant minutes per month, plus extra credits via the Maker Program.

Follow the quickstart guide to build your first agent.

See It In Action

https://github.com/user-attachments/assets/d1258ac2-ca98-4019-80e4-41ec5530117e

This example shows you how to build golf coaching AI with YOLO and Gemini Live. Combining a fast object detection model (like YOLO) with a full realtime AI is useful for many different video AI use cases. For example: Drone fire detection, sports/video game coaching, physical therapy, workout coaching, just dance style games etc.

# partial example, full example: examples/02_golf_coach_example/golf_coach_example.py
agent = Agent(
    edge=getstream.Edge(),
    agent_user=agent_user,
    instructions="Read @golf_coach.md",
    llm=gemini.Realtime(fps=10),
    processors=[ultralytics.YOLOPoseProcessor(model_path="yolo11n-pose.pt", device="cuda")],
)

Features

Feature Description
Real-time WebRTC Stream video directly to model providers for instant visual understanding.
Video Processing Pluggable processor pipeline for YOLO, Roboflow, or custom PyTorch/ONNX models before/after LLM calls.
Turn Detection Natural conversation flow with VAD, diarization, and smart turn-taking.
Tool Calling & MCP Execute code and APIs mid-conversation — Linear issues, weather, telephony, or any MCP server.
Phone Integration Inbound and outbound voice calls via Twilio or Telnyx with bidirectional audio streaming.
RAG Retrieval-augmented generation with TurboPuffer/Qdrant vector search or Gemini FileSearch.
Memory Agents recall context across turns and sessions via Stream Chat.
Text Back-channel Message the agent silently during a call — coaching overlays, silent instructions, etc.
Production Ready Built-in HTTP server, Prometheus metrics, horizontal scaling, and Kubernetes deployment.

Out-of-the-Box Integrations

LLMs: OpenAI · Gemini · xAI · OpenRouter · Hugging Face · Kimi AI · MiniMax · Telnyx

Realtime: OpenAI Realtime · Gemini Live · AWS Nova Sonic · Qwen · Inworld

STT: Deepgram · AssemblyAI · Fast-Whisper · Fish Audio · Wizper · Mistral Voxtral · Telnyx

TTS: ElevenLabs · Cartesia · Deepgram · AWS Polly · Pocket · Kokoro · Inworld · Fish Audio · Telnyx

Vision: Ultralytics · Roboflow · Moondream · TwelveLabs · NVIDIA · Decart

Avatars: LemonSlice

Turn Detection: Vogent · Smart Turn

Other: Twilio · Telnyx · TurboPuffer

Documentation

Check out the full docs at VisionAgents.ai.

Quickstart: Voice AI · Video AI

Guides: MCP & Function Calling · Video Processors · Phone Calling · RAG · Testing

Production: HTTP Server · Deployment · Kubernetes · Horizontal Scaling · Prometheus Metrics

Examples

Demo Applications

Voice Agents (Low Latency + RAG + File Search)

Build fast voice agents that can reason over knowledge, search files, and respond in real time.

• Low-latency voice interactions
• Retrieval-augmented responses
• File and knowledge search

>Source Code and tutorial

Realtime Coaching and Video Understanding

Power interactive coaching flows with live pose tracking and processor pipelines for frame-by-frame understanding.

• Real-time pose tracking
• Actionable coaching feedback
• Video processor pipeline support

>Source Code and tutorial

Video Restyling and Avatars

Use models like Decart Lucy to build virtual try-ons, stylized scenes, or give your agents a visual identity.

• Real-time video restyling
• Virtual try-on experiences
• Avatar-like visual presence

>Source Code and tutorial

Custom Video Models (Roboflow, YOLO, and More)

Train and run custom computer vision models for security monitoring, moderation, and other domain-specific workflows.

• Bring your own CV models
• Real-time moderation pipelines
• Security and detection use cases

>Source Code and tutorial

Tools, MCP, and Phone Calling

Connect external APIs and services so agents can validate data and take real-world actions during live conversations.

• MCP and function calling support
• Twilio and Telnyx phone workflows
• Real-time fraud response automation

>Phone + RAG example · >Telnyx phone examples · >Fraud workflow example

Community Highlights

More involved demos built by the community and the Stream team - full applications that go beyond the in-repo examples and show what's possible with Vision Agents in production.

Got a demo you'd like featured? Open a PR or reach out on Discord.

  • Sales Assistant Demo - a real-time AI meeting coach that lives on your desktop as a translucent macOS overlay. Built on Vision Agents and Flutter.
  • Crashout Buddy - an emotionally aware voice agent demo built on Vision Agents and Stream Video.
  • Cricket DRS AI — AI-powered Decision Review System for

Issues· 0 开放

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暂无开放 Issues,或尚未同步最近议题。

> 标签

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类AI 编程
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