Group 1 - The core concept of AI Agents is that they are intelligent entities capable of perceiving their environment, making decisions, and executing actions, built on large language models (LLMs) with multi-modal interaction and autonomous execution capabilities [1][12][19] - DeepSeek and other reasoning models enhance the reasoning, decision-making, planning, execution, and tool-calling abilities of AI Agents, promoting multi-modal and personalized interactions while supporting localized deployment for data privacy [1][28][31] - The current state of the AI Agent industry shows a strong inclination towards B-end applications, with high adoption rates among medium-sized enterprises and diverse C-end applications across various sectors such as healthcare, human resources, and retail [2][4][5] Group 2 - Manus, a general AI agent, consists of a multi-agent collaborative architecture and a dynamic task scheduling engine, enabling full-chain autonomous execution of tasks across multiple fields, while also presenting ethical and governance challenges [2][34] - AI Agents impact business operations by optimizing processes, assisting in decision-making, and driving innovation, with deployment models including direct use, client API calls, and localized private deployment [2][5][6] - The emergence of high-quality reasoning models like DeepSeek positions China as a potential leader in the global AI Agent market, shifting from being a rule-taker to a co-governor in AI standards [28][32][34]
2025年DeepSeek、Manus与AI+Agent行业现状报告-大数据百家讲坛