Vision Agents v0.5.0 Release: Local Hardware I/O, Anam Avatars, and Faster Deepgram TTS

Vision Agents v0.5.0 introduces significant improvements to the multimodal AI agents platform, focusing on stability, scalability, and new expressive integrations. This release includes native support for Anam avatars, allowing synchronized video and audio interactions, improved memory management to address resource leaks in long-running deployments, and a LocalEdge feature enabling agents to run locally on personal devices. The update also enhances Deepgram TTS latency by utilizing persistent WebSocket connections, resulting in faster audio responses. For production deployments, a Helm chart facilitates Kubernetes integration, and the expanded plugin ecosystem now includes new provider integrations and updated plugins for enhanced functionalities. The release also offers a range of new examples to demonstrate various applications of Vision Agents, fostering community engagement and encouraging users to share their projects and ideas.