AI-Agents provides a modular architecture for defining and running Python-based AI agents. Developers can configure agent behaviors, integrate external APIs or tools, and manage agent memory across sessions. It leverages popular LLMs, supports multi-agent collaboration, and enables plugin-based extensions for complex workflows like data analysis, automated support, and personalized assistants.

AIFoundry-AgentService-Streamlit is an open-source demo application built with Streamlit that lets users quickly spin up AI agents via AIFoundry’s AgentService API. The interface includes options to select agent profiles, adjust conversational parameters like temperature and max tokens, and display conversation history. It supports streaming responses, multiple agent environments, and logs requests and responses for debugging. Written in Python, it simplifies testing and validating different agent configurations, accelerating the prototyping cycle and reducing integration overhead before production deployment.