Amazon Bedrock Custom LangChain Agent is a reference architecture and code example that shows how to build AI agents by combining AWS Bedrock foundation models with LangChain. You define a set of tools (APIs, databases, RAG retrievers), configure agent policies and memory, and invoke multi-step reasoning flows. It supports streaming outputs for low-latency user experiences, integrates callback handlers for monitoring, and ensures security via IAM roles. This approach accelerates deployment of intelligent assistants for customer support, data analysis, and workflow automation, all on the scalable AWS cloud.

AnyCast offers a simple solution for wireless casting to your HDTV. It supports a wide range of protocols including Miracast, DLNA, and AirPlay, making it compatible with multiple devices like Android smartphones, iPhones, Windows PCs, and Macs. With AnyCast, users can easily transform their standard televisions into smart TVs, accessing multimedia content with just a few taps. It promises high-definition streaming, low latency, and user-friendly setup, catering to all your home entertainment needs.

ChainStream is a cross-platform mobile and desktop inference framework that streams partial outputs from large language models in real time. It breaks LLM inference into submodel chains, enabling incremental token delivery and reducing perceived latency. Developers can integrate ChainStream into their apps using a simple C++ API, select preferred backends like ONNX Runtime or TFLite, and customize pipeline stages. It runs on Android, iOS, Windows, Linux, and macOS, allowing for truly on-device AI-driven chat, translation, and assistant features without server dependencies.