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Vision Agents

Python framework for real-time voice and video AI agents

  • Agent frameworks and tools
  • AI media
View on GitHub
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What it is

Vision Agents is a Python framework for building agents that join live calls, watch video, and talk back with low latency over WebRTC. It chains vision models such as YOLO or Roboflow with realtime LLMs from OpenAI or Gemini, and plugs in speech-to-text, text-to-speech, turn detection, tool calling with MCP, RAG, and phone calls through Twilio or Telnyx. Developers use it to ship things like sports or workout coaching, video monitoring, and voice assistants, with Prometheus metrics and Kubernetes deployment included.

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Facts

Stars
8,177 GitHub stars.
8,177

Forks
695
Commits
1,164
Contributors
30
Language
Python
License
Apache-2.0
Last commit
Sep 23, 2026
On GitHub since
August 2025
First release
October 2025
Platforms
library
Self-hostable
No
Tags
  • agent-framework
  • voice-assistant
  • text-to-speech
  • multimodal
  • computer-vision
  • speech-to-text

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 20, 2026
  • Hacker NewsAnalysing Gemini and OpenAI performance for real-time sports feedbackDec 31, 2025 · 2 points · 0 comments (opens Hacker News in a new tab)
  • Hacker NewsVision Agents 0.1Oct 10, 2025 · 1 point · 1 comment (opens Hacker News in a new tab)