2025 will be the year of the AI Agent outbreak -- from perception, thinking to implementation, to mastering the core of smarts.
What's AI Agent?
AI Agent is a capable Self-awareness of the environment, decision-making and implementation of mandates The artificial intelligence system. Unlike the traditional question and answer robot, Agent has a complete closed circle:
• 2025 Significant industry progress
OpenAI Publishing
AutoGLM Major Upgrade
Cross-application implementation of more than 50 complex missions is supported, allowing for the automatic transition of complex business processes across dozens of websites.
Anthropic Claude MCP Protocol
Model Context Protocol (Model Text Protocol) is published to enable AI to operate directly and safely GitHub, file systems and various SaaS tools.
GLM-PC-Specific Publication
PC based on visual understanding Agent, who can identify screens and operate computers like humans, applies to the automatic recording of meetings and the batch processing of documents.
🛠️ Hotgate Agen Tools and Frames
🤖 AutoGPT
One of the earliest autonomous AI Agent projects is known for its strong task decomposition and goal-driven capacity.
- Ideas. AutoGLM.
The national Agent pole optimizes the Chinese language context in depth and supports the automation of the pages that cross the App and PC pages.
🔗 OpenAI Agents SDK
OpenAI ' s official framework of organization specifically addresses the complexity of multi-intelligence collaboration and tool access.
🔌 Claude MCP
The generic connectivity protocol proposed by Anthropic provides standardized external data and tool access interfaces for the model.
🦜 LangChain Agents
The most popular LLM development framework in the world, which contains a rich react, Plan-and-Execute and other Agent models.
🌊 Dify
The LLM application development platform, which is open, can also build a professional Agent with visualized workflows and zero code.
Agent Typical Application scene
Automation programming
Understand product needs, prepare, run and repair Bugs autonomously, and complete the software development closed loop.
Advanced data analysis
Automatically connect databases, clean and analyse data and generate visual insight reports.
Smart Web Research
Search, match and integrate information among dozens of web pages, generating professional studies.
Personal Assignment Assistant
Over App Processes scheduling, reservation of tickets, mail dispatch and complex claims processes.
🔄 Multi-Agent System (Multi-Agent)
A complex task is accomplished through multiple Agent collaborations, each intelligence body playing a specific role to enhance overall success:
| Agent Role | Core responsibilities | Examples of field operations |
|---|---|---|
| Planner | Disaggregating complex targets and defining implementation paths | Project Manager |
| Executor | Process specific atomic tasks (e.g., writing codes, checking information) | Research/search |
| Evaluator | Check output quality, provide feedback and suggest changes | Code Audit/QAAAgent |
| Coordinator | Manage communication and task flow between Agent | Movement Control Centre |
How do you start building your first agent?
- Experience ready-made products : First, feel the power boundaries of an intelligent body through the self-defined GPTs of the brain spectrum AutoGLM or ChatGPT.
- Learning Foundation Framework : To understand Lang Chain or Dify and to learn about the core working principles of Agent, such as Rect Cycle.
- Configure Connection Protocol Learn how to configure MCP Server to open permissions for your Agent to operate local files or external API.
- Build custom applications : Develop a dedicated multi-smart workflow using OpenAI Agents SDK in conjunction with your business logic.