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  3. Vision Agents
Vision Agents icon

Vision Agents

Agent Frameworks

Open-source Video AI framework for building real-time voice and video applications with built-in AI integrations.

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At a Glance

Pricing

Open Source

Free open-source framework for building real-time voice and video AI applications

Engagement

Available On

API
SDK

Resources

WebsiteDocsGitHubllms.txt

Topics

Agent FrameworksVoice SynthesisVideo Creation

Listed Jan 2026

About Vision Agents

Vision Agents is an open-source Video AI framework designed for building real-time voice and video applications. It ships with Stream Video as its default low-latency transport, powered by a global edge network, while remaining edge/transport agnostic so developers can bring any edge layer they prefer. The framework makes it simple to prototype and scale a wide range of AI-powered video applications.

  • Coaching & Training Applications — Build live sports coaching apps, guided workouts, and interactive training experiences with real-time video AI capabilities.

  • Collaboration Tools — Create meeting assistants, automated note-taking systems, and transcription services for enhanced team productivity.

  • Automation & Robotics — Develop IoT control systems, surveillance applications, and manufacturing workflow automation using video AI processing.

  • Video AI Features — Build video avatars and character agents for interactive and engaging user experiences.

  • 23+ Built-in AI Integrations — Connect with popular providers including OpenAI, Gemini, xAI, OpenRouter for LLMs; Deepgram, Fast-Whisper, Wizper for speech-to-text; ElevenLabs, Cartesia, AWS Polly for text-to-speech; and Ultralytics YOLO, Moondream, Roboflow for video processing.

  • Realtime API Support — Leverage WebRTC connections through OpenAI, Gemini, AWS Bedrock, and Qwen for low-latency real-time interactions.

  • Extensible Architecture — Build custom integrations using BaseProcessor or VideoProcessorMixin classes to plug in custom computer-vision models and extend functionality.

  • Memory & Context Management — Utilize in-memory storage and Stream Chat integration for maintaining conversation context and state.

To get started, install Vision Agents and set up your first project following the installation guide. The framework provides comprehensive documentation covering voice agents, video agents, and integration setup. Developers can explore step-by-step implementation guides and ready-to-use cookbook examples for common use cases like building a golf coach application.

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Pricing

OPEN SOURCE

Open Source

Free open-source framework for building real-time voice and video AI applications

  • Full framework access
  • 23+ AI integrations
  • Voice agents
  • Video agents
  • Extensible plugin architecture
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Capabilities

Key Features

  • Real-time voice agents
  • AI-powered video applications
  • 23+ built-in AI integrations
  • LLM support (OpenAI, Gemini, xAI, OpenRouter)
  • Speech-to-text (Deepgram, Fast-Whisper, Wizper)
  • Text-to-speech (ElevenLabs, Cartesia, AWS Polly)
  • Video processing (Ultralytics YOLO, Moondream, Roboflow)
  • Turn detection (Smart Turn, Vogent)
  • Memory and context management
  • Extensible plugin architecture
  • Edge/transport agnostic design
  • Low-latency transport via Stream Video
  • WebRTC realtime API support
  • Video avatars and character agents

Integrations

OpenAI
Gemini
xAI
OpenRouter
Anthropic
AWS Bedrock
Qwen
Deepgram
Fast-Whisper
Wizper
Fish Audio
ElevenLabs
Cartesia
AWS Polly
Inworld
Kokoro
Smart Turn
Vogent
Ultralytics YOLO
Moondream
Roboflow
Decart
HeyGen
Stream Video
Stream Chat
API Available
View Docs

Reviews & Ratings

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Developer

Stream

Stream builds real-time communication infrastructure including chat messaging and video APIs. The company provides Stream Video as the default low-latency transport for Vision Agents, powered by a global edge network. Stream develops open-source frameworks and SDKs that enable developers to build scalable voice and video applications.

Read more about Stream
WebsiteGitHub
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