DemoGPT is an open-source Python project designed to demonstrate the core concepts of AI agents using OpenAI's GPT models. It implements a conversational interface with persistent memory saved in JSON files, enabling context-aware interactions across sessions. The framework supports dynamic tool execution, such as web search, calculations, and custom extensions, through a plugin-style architecture. By simply configuring your OpenAI API key and installing dependencies, users can run DemoGPT locally to prototype chatbots, explore multi-turn dialogue flows, and test agent-driven workflows. This comprehensive demo offers developers and researchers a practical foundation for building, customizing, and experimenting with GPT-powered agents in real-world scenarios.

Agentic AI provides a fully web-based environment where users define objectives for autonomous agents. Each agent analyzes goals, selects appropriate tools or APIs, executes tasks in sequence, and adapts based on intermediate results. The platform includes memory management for context retention, a monitoring dashboard for real-time progress, and customizable agent configurations. Agents can interact with external services, fetch data, generate reports, and perform automated decision-making to streamline operational workloads.