The Reddit News Agent System leverages the Multi-Channel Pipeline (MCP) for modular data processing and the Agent Development Kit (ADK) for workflow orchestration. After configuration, it continuously monitors chosen subreddits, applies sentiment analysis, topic classification, and summary generation modules, then routes the results to email, messaging apps, or dashboard interfaces. Developers can extend pipelines with custom processors, integrate new delivery channels, and fine-tune agent behaviors for tailored news curation and automated reporting.

SegAgent is a Python framework that orchestrates AI agents to perform semantic image segmentation through natural language interaction. By combining GPT-based language understanding with the Segment Anything Model (SAM), it converts user prompts—such as “segment the tumor region” or “refine around the edges”—into accurate masks. The agent retains conversational context, supports iterative refinement of segmentation results, and can integrate custom models or post-processing steps. It provides an extensible API, command-line tools, and Jupyter notebook examples. SegAgent accelerates annotation workflows, reduces manual tracing effort, and allows developers to embed conversational segmentation capabilities into broader pipelines or applications.