Vision-Agents

An open-source framework by Stream for building vision AI agents that work with any model or video provider, leveraging Stream's edge network for ultra-low latency video experiences.

One-Minute Overview#

Vision-Agents is an open-source framework from Stream for building multi-modal AI agents that can watch, listen, and understand video in real-time. It leverages Stream's edge network for ultra-low latency experiences (500ms quick connect, <30ms audio/video delay) and supports multiple SDKs (React, Android, iOS, Flutter, etc.). Developers can use any model (Gemini, OpenAI, Claude) and video processors (YOLO, Roboflow, etc.) to build intelligent vision applications.

Core Value: Provides complete building blocks for vision AI applications with ultra-low latency video processing, abstracting away complex networking and integration challenges.

Quick Start#

Installation Difficulty: Low - Quick installation via package manager with comprehensive guides and example code

# Basic installation
uv add vision-agents

# Install with extra integrations
uv add "vision-agents[getstream, openai, elevenlabs, deepgram]"

Is this suitable for my use case?

✅ Real-time video analysis: Such as sports coaching, fitness movement analysis

✅ Multi-modal AI applications: Combining visual understanding with natural language processing

✅ Ultra-low latency interactions: Applications requiring real-time response in video scenarios

❌ Pure text processing applications: No need for video understanding

❌ High-tolerance scenarios: Applications where real-time response isn't critical

Core Capabilities#

1. Real-time Video AI Processing - Solving real-time understanding#

Stream directly to model providers via WebRTC for instant visual understanding
For providers without WebRTC, use pluggable video processors (YOLO, Roboflow, custom PyTorch/ONNX) Actual Value: Get AI analysis for each video frame without waiting for complete video processing

2. Ultra-low Latency Network - Solving real-time response issues#

Achieve 500ms quick connect using Stream's edge network
Maintain audio/video latency under 30ms Actual Value: Provides smooth, natural user experience without noticeable delays, ideal for real-time interactions

3. Intelligent Conversation Management - Solving natural communication#

Turn detection & diarization keep conversations natural and flowing
Know when the agent should speak or stay silent, and who's talking
Voice Activity Detection (VAD) triggers actions intelligently and uses resources efficiently Actual Value: AI assistants can participate in conversations naturally like humans, improving user experience

Enable speech↔text↔speech loops for smooth conversational voice UX
Support tool/function calling to execute arbitrary code and APIs mid-conversation Actual Value: AI can not only understand visual content but also interact through voice and text to perform complex tasks

5. Memory & Context Management - Solving long-term memory#

Built-in memory via Stream Chat lets agents recall context across turns and sessions
Text back-channel for silent messaging during calls Actual Value: AI assistants remember conversation history for more coherent and personalized service

Technology Stack & Integration#

Development Language: Python Main Dependencies: Stream Edge Network, various AI model APIs (Gemini, OpenAI, Claude), video processing libraries Integration Method: SDKs (React, Android, iOS, Flutter, React Native, Unity), API, Library

Ecosystem & Extensions#

Plugins: 25+ out-of-the-box integrations including AWS Bedrock, Gemini, OpenAI, Deepgram, ElevenLabs, etc.
Video Processors: Support for multiple video processing plugins including YOLO, Roboflow, Ultralytics, with custom processing logic
Model Extensions: Support for multiple LLM providers including OpenAI, Gemini, Claude, OpenRouter, xAI, etc.

Maintenance Status#

Development Activity: Actively developed with fast iteration, multiple versions released (0.1 through 0.4)
Recent Updates: Continuous updates over the past few months with new integrations and features
Community Response: Strong community support with abundant examples and tutorials

Commercial & Licensing#

License: Specified in repository

✅ Commercial: Check specific license terms
✅ Modification: Check specific license terms
⚠️ Restrictions: Check specific license file in repository for limitations

Documentation & Learning Resources#

Documentation Quality: Comprehensive
Official Documentation: https://VisionAgents.ai
Sample Code: Abundant examples including real-world applications like golf coach, real-time meeting assistant
Learning Resources: Provides getting started guides, tutorials, and API docs for building both voice and video AI applications