FlyingAgent provides a modular architecture that leverages large language models to simulate autonomous agents capable of reasoning, planning, and executing actions across various domains. Agents maintain an internal memory for context retention and can integrate external toolkits for tasks like web browsing, data analysis, or third-party API calls. The framework supports multi-agent coordination, plugin-based extensions, and customizable decision-making policies. With its open design, developers can tailor memory backends, tool integrations, and task managers, enabling applications in customer support automation, research assistance, content generation pipelines, and digital workforce orchestration.