What Powers the Rise of AI Agents? Inside the Tech Behind Agentic AI
This report explores the fundamentals, core technologies, leading platforms, current state, and future outlook of AI Agents and Agentic AI, detailing how large language models and mature infrastructure enable autonomous, reactive, proactive, and adaptive agents, and examines prominent projects such as Manus, Genspark, and Lovart.
This report introduces the principles and applications of AI Agents and Agentic AI. It examines the rise of AI Agents, core technologies, mainstream platforms, current technical status, and future prospects, analyzing the technical foundations, use cases, and trends. The explosion of AI Agents is attributed to advances in large language models (LLM) and mature infrastructure, with key traits of autonomy, reactivity, proactivity, and learning adaptability. The core technology stack includes perception, cognitive decision, action modules, and architectural patterns, where LLM serves as the central engine providing strong understanding and reasoning capabilities. The report also delves into several mainstream Agent platforms and projects such as Manus, Genspark, and Lovart, discussing their technical features, architectural innovations, and advantages.
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