LiveKit Agents is an open-source framework designed for building programmable, multimodal AI agents that can orchestrate large language models (LLMs) and other AI tools to perform tasks. It supports development in Python and Node.js. Key features include: • Realtime Interaction: Agents operate as stateful, long-running processes connected to the LiveKit network via WebRTC, enabling low-latency, realtime media and data exchange. • Multimodal Capabilities: Agents can handle voice, video, and text interactions. • Integration: Includes SIP support for telephony integration and frontend SDKs in multiple languages for seamless WebRTC transport and media management. • Centralized Business Logic: Business logic is maintained within the agent process, supporting clients across platforms and simplifying state management. • Low-Latency: The LiveKit Cloud global mesh network ensures minimal transport latency by connecting users to the nearest edge server. This framework is particularly useful for creating realtime AI applications, such as voice AI workflows, with built-in load balancing and support for complex processing steps. Sources: Agents Overview | LiveKit Docs | Azure integration guide | LiveKit Docs | agents/src/index.ts