The Arrival of AI Agent’s ‘DeepSeek Moment’

The Arrival of AI Agent's 'DeepSeek Moment'

Recently, a Chinese team launched the world’s first general-purpose AI Agent—Manus AI, which has quickly ignited the tech community. It is not just a simple text generation tool, but an ‘intelligent intern’ capable of autonomously planning, executing complex tasks, and delivering complete results. NVIDIA CEO Jensen Huang clearly stated at the GTC conference that: Agentic … Read more

Introduction to AI Agent Technology Development

Introduction to AI Agent Technology Development

The development of large AI models is progressing rapidly, with the most common functionality we encounter being dialogue flows or Co-Pilot. The so-called AI Agent focuses on autonomous systems, capable of making decisions and executing tasks without human intervention. In simple terms, while we are still relying on AI for “assisted driving,” AI Agents are … Read more

Ouyang Xin from Alibaba Cloud: The Dual-Drive Strategy for Cloud Security in the Era of AI Agents

Ouyang Xin from Alibaba Cloud: The Dual-Drive Strategy for Cloud Security in the Era of AI Agents

On September 24, during the main technical forum of the 2025 Hangzhou Yunqi Conference, Ouyang Xin, head of the cloud security product line at Alibaba Cloud Intelligence Group delivered a keynote speech, sharing Alibaba Cloud’s security dual-drive development strategy in the era of AI Agent explosion: Providing customers with native security protection integrated into the … Read more

In-Depth Understanding of the Three Core Elements of Codex’s AI Agent

In-Depth Understanding of the Three Core Elements of Codex's AI Agent

When discussing AI programming, many people’s first reaction may still be “a smarter code auto-completion tool.” However, OpenAI’s latest Codex product has long surpassed this category; it is no longer a passive “assistant” but an active “AI Agent.” This shift is not merely a conceptual game but a profound revolution in the software development paradigm. … Read more

Understanding the Three Stages of the AI Agent Economy

Understanding the Three Stages of the AI Agent Economy

Understanding the AI Agent Economy (A2A): The Three Stages of Evolution from “AI Assisting Humans” to “AI Agents Collaborating Independently”. Previously, tasks were handled through “human-to-human interactions” (for example, contacting customer service or negotiating with sales representatives), but in the future, it will transform into “your AI agent interacting with other AI agents”, collaborating autonomously … Read more

What is an AI Agent?

What is an AI Agent?

Artificial intelligence has come a long way—from statistical models and manually tuned rules to the deep learning revolution driven by neural networks. But in 2025, a fundamental change is occurring: AI is starting to “act”.. Rather than merely predicting text or classifying data, today’s AI systems are increasingly autonomous, capable of taking actions, making decisions, … Read more

How AI Agents Break Industry Deadlocks: Decoding the Technical Core and Detailed Application Scenarios

How AI Agents Break Industry Deadlocks: Decoding the Technical Core and Detailed Application Scenarios

Source | China Industrial Internet Research Institute 2025 is widely defined in the industry as the “Year of the Intelligent Agent.” In this year, intelligent agent technology has experienced explosive growth, rapidly transitioning from cutting-edge concepts in laboratories to various industries, gradually emerging. Unlike general large models, intelligent agents can not only understand human instructions … Read more

Comprehensive Guide to AI Agent Development Platforms

Comprehensive Guide to AI Agent Development Platforms

Although the AI Agent development frameworks are powerful, their steep learning curve, complex debugging processes, and frequent updates pose significant challenges for deployment in production environments. To simplify the development, debugging, deployment, and operation processes of AI Agents, AI Agent development platforms encapsulate core components such as LLM, memory, tools, and orchestration engines, providing pre-built … Read more

Development and Challenges of AI Agents and Agentic AI in the Financial Sector

Development and Challenges of AI Agents and Agentic AI in the Financial Sector

The Core Differences Between AI Agents and Agentic AI An AI Agent is a task execution unit based on large models, capable of understanding requirements, planning paths, and invoking tools, focusing on achieving a single goal (such as intelligent customer service handling user inquiries). Its core components include large models, planning modules, memory storage, and … Read more

Current Status and Development Trends of AI Agent Development Platforms, Models, and Applications

Current Status and Development Trends of AI Agent Development Platforms, Models, and Applications

The AI Agent is gradually becoming the core direction of artificial intelligence development. Unlike traditional LLMs and automation, Agents possess “agency,” enabling them to actively perceive their environment, autonomously plan, and execute complex tasks, which is seen as a key milestone towards AGI. Core Features of AI Agents The essence of an Agent lies in … Read more