agents  by videosdk-live

Real-time multimodal conversational AI agents framework

Created 1 year ago
618 stars

Top 53.1% on SourcePulse

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Project Summary

This framework enables the development of real-time, multimodal conversational AI agents that can join video conferencing rooms. It targets developers building AI-powered assistants for voice and media interactions, offering seamless integration with various AI models and communication platforms.

How It Works

The SDK acts as a bridge, connecting backend systems to the VideoSDK platform, allowing AI agents to participate in real-time audio and video conversations. It supports a cascading pipeline architecture for integrating different Speech-to-Text (STT), Large Language Model (LLM), and Text-to-Speech (TTS) providers, along with features like turn detection, virtual avatars, and function tools for extended capabilities.

Quick Start & Requirements

Highlighted Details

  • Real-time Audio/Video communication with agents.
  • SIP and Telephony integration for PSTN access.
  • Support for multiple AI models (OpenAI, Gemini, AWS NovaSonic).
  • Virtual avatar integration via Simli.
  • Function tools for extending agent actions (e.g., event scheduling).
  • Agent-to-Agent (A2A) and Model Context Protocol (MCP) integration.

Maintenance & Community

  • Actively developed with contributions welcomed.
  • Community support available via VideoSDK's Discord server.
  • Links to contributing guides and plugin development resources are provided.

Licensing & Compatibility

  • The specific license is not explicitly stated in the README, but it is presented as an open-source framework. Further clarification on licensing terms would be beneficial for commercial use.

Limitations & Caveats

  • Requires specific VideoSDK authentication tokens and meeting IDs.
  • Integration with third-party AI models necessitates obtaining and configuring their respective API keys.
  • The README mentions "playground=True" for meeting options, which might indicate a development or testing focus rather than production-ready deployment without further configuration.
Health Check
Last Commit

3 days ago

Responsiveness

Inactive

Pull Requests (30d)
40
Issues (30d)
0
Star History
14 stars in the last 30 days

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