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AI Agent

793 articles · Page 8 of 8
Tech Freedom Circle
Tech Freedom Circle
Jun 21, 2025 · Artificial Intelligence

How MCP + LLM + Agent Architecture Becomes the AI Agent’s Neural Hub and New Infrastructure

The article explains the Model Context Protocol (MCP) as a zero‑code bridge that lets large language models seamlessly access databases, external APIs, and execute code, detailing its benefits for developers and everyday users, its core components, step‑by‑step workflow, real‑world examples, and how it outperforms traditional APIs in modern AI agent systems.

AI AgentLLMMCP
0 likes · 37 min read
How MCP + LLM + Agent Architecture Becomes the AI Agent’s Neural Hub and New Infrastructure
Tencent Technical Engineering
Tencent Technical Engineering
Jun 20, 2025 · Artificial Intelligence

Mastering AI Agents: Core Concepts, Protocols, and Golang Frameworks for Multi‑Agent Collaboration

This comprehensive article explores the evolution of AI agents, explains key protocols like MCP and A2A, compares reasoning frameworks such as CoT, ReAct, and Plan‑and‑Execute, and demonstrates how Golang frameworks Eino and tRPC‑A2A‑Go enable elegant development, orchestration, and observability of complex multi‑agent systems with practical code examples and visual diagrams.

A2AAI AgentEino
0 likes · 55 min read
Mastering AI Agents: Core Concepts, Protocols, and Golang Frameworks for Multi‑Agent Collaboration
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 20, 2025 · Artificial Intelligence

How to Build High‑Availability AI Agents: Challenges, Strategies, and Real‑World Insights

This article explores the evolving concept of AI agents, debates their definitions, outlines four major deployment challenges—including prompt instability, planning balance, domain knowledge integration, and response speed—and presents practical strategies such as prompt engineering, workflow design, multi‑agent architectures, and model optimization to build reliable, high‑availability agents.

AI AgentAgentic SystemsLLM
0 likes · 32 min read
How to Build High‑Availability AI Agents: Challenges, Strategies, and Real‑World Insights
Instant Consumer Technology Team
Instant Consumer Technology Team
Jun 19, 2025 · Artificial Intelligence

Exploring II-Agent: An Open‑Source AI Agent Framework for Multi‑Domain Automation

II-Agent is an open‑source, multi‑domain AI agent framework that leverages powerful large language models, a rich toolset, planning‑and‑reflection mechanisms, and advanced context management to enable autonomous task execution, real‑time interaction, and seamless integration across development, data analysis, and enterprise workflows.

AI AgentTool Integrationautomation
0 likes · 21 min read
Exploring II-Agent: An Open‑Source AI Agent Framework for Multi‑Domain Automation
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 17, 2025 · Artificial Intelligence

Why AI Agent Engineering Is the Missing Link to Scalable, Usable AI

This article dissects AI Agent engineering into product and technical dimensions, explaining how demand modeling, UI/UX design, prompt engineering, multi‑agent architecture, feedback loops, security, and observability together determine whether an AI assistant is usable, reliable, and ready for large‑scale deployment.

AI AgentEngineeringObservability
0 likes · 22 min read
Why AI Agent Engineering Is the Missing Link to Scalable, Usable AI
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 11, 2025 · Artificial Intelligence

From Chat to Autonomous Agents: Architecture, ReAct, Prompt Engineering

This article chronicles the evolution from simple chat interactions to sophisticated autonomous agents, detailing stages of LLM development, ReAct reasoning, memory management, tool integration, and practical implementation using the browser-use project, while offering prompt design insights and future directions for AI agents.

AI AgentLLMMCP
0 likes · 30 min read
From Chat to Autonomous Agents: Architecture, ReAct, Prompt Engineering
Data Thinking Notes
Data Thinking Notes
Jun 10, 2025 · Artificial Intelligence

Unlocking AI Agents: Architecture, Tools, and Real‑World Applications

This article provides a comprehensive overview of generative AI agents, detailing their core components—model, tools, and orchestration layer—explaining cognitive architectures, tool types, learning strategies, and practical development with LangChain and Vertex AI, while highlighting future prospects and challenges.

AI AgentLangChainPrompt Engineering
0 likes · 24 min read
Unlocking AI Agents: Architecture, Tools, and Real‑World Applications
DataFunSummit
DataFunSummit
Jun 8, 2025 · Artificial Intelligence

Mastering LLM Applications: Practical Agent Design and Implementation Strategies

This comprehensive guide explores the core implementation paths for large language model (LLM) applications, focusing on agent design, workflow orchestration, tool integration, memory management, multi‑agent architectures, and future trends, providing actionable methodologies and real‑world examples for practitioners.

AI AgentAgent designLLM
0 likes · 25 min read
Mastering LLM Applications: Practical Agent Design and Implementation Strategies
Youzan Coder
Youzan Coder
Jun 6, 2025 · Artificial Intelligence

How AI Agents Turn Manual Data Retrieval into Fully Automated Insights

This article examines the challenges of manual data extraction in data‑driven enterprises, explains why large language models alone fall short, and details how the Cursor‑Agent framework automates end‑to‑end querying, knowledge‑base integration, and result validation to become a self‑sufficient "data master" for both technical and non‑technical users.

AI AgentCursor AgentData Automation
0 likes · 26 min read
How AI Agents Turn Manual Data Retrieval into Fully Automated Insights
DataFunTalk
DataFunTalk
Jun 4, 2025 · Artificial Intelligence

Google Gemini Full‑Stack LangGraph Quickstart: Building a Research‑Grade AI Agent

The article introduces Google’s open‑source Gemini‑Fullstack‑LangGraph‑Quickstart project, explains its modern front‑end/back‑end architecture, details a five‑step intelligent research workflow, and outlines development, deployment, and extensibility considerations for creating a self‑contained, research‑oriented AI agent.

AI AgentDockerGemini
0 likes · 7 min read
Google Gemini Full‑Stack LangGraph Quickstart: Building a Research‑Grade AI Agent
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jun 2, 2025 · Artificial Intelligence

Choosing the Right LLM AI Agent Protocol: A Four‑Category Guide

This article provides a systematic overview of existing LLM AI Agent communication protocols, categorizing them into four major types, detailing their functions, benefits, and use‑cases, and compares four representative protocols—MCP, A2A, ANP, and Agora—through a concrete travel‑planning scenario.

AI AgentCommunication ProtocolLLM
0 likes · 11 min read
Choosing the Right LLM AI Agent Protocol: A Four‑Category Guide
Tencent Technical Engineering
Tencent Technical Engineering
May 23, 2025 · Artificial Intelligence

The Evolution, Challenges, and Future Directions of AI Agents

An in‑depth overview traces the development of AI agents from early LLM milestones to modern “class‑Agent” models, examines core components such as memory, tool use, planning and reflection, analyzes current limitations, and outlines emerging solutions like workflows, multi‑agent systems, and model‑as‑product paradigms.

AI AgentAgentic workflowFunction Call
0 likes · 40 min read
The Evolution, Challenges, and Future Directions of AI Agents
Tencent Technical Engineering
Tencent Technical Engineering
May 19, 2025 · Artificial Intelligence

RAG, Agents, and Multimodal Large Models: Evolution, Challenges, and Future Trends

This article examines the evolution of large model technologies—including Retrieval‑Augmented Generation, AI agents, and multimodal models—detailing their technical foundations, practical challenges, industry applications, and future development trends, offering a comprehensive perspective for AI practitioners and researchers.

AI AgentKnowledge RetrievalMultimodal
0 likes · 14 min read
RAG, Agents, and Multimodal Large Models: Evolution, Challenges, and Future Trends
Ubiquitous Tech
Ubiquitous Tech
May 16, 2025 · Backend Development

How to Build a TypeScript Stdio‑Mode MCP Server for Weather Queries

This article explains the motivation behind Model Context Protocol (MCP), compares its communication modes, and provides a step‑by‑step tutorial for creating a TypeScript‑based MCP Server in Stdio mode that exposes a weather‑lookup tool, builds it, runs it, and tests it with the official inspector.

AI AgentMCPServer Development
0 likes · 16 min read
How to Build a TypeScript Stdio‑Mode MCP Server for Weather Queries
Tencent Cloud Developer
Tencent Cloud Developer
May 8, 2025 · Artificial Intelligence

Advances and Future of AI Agents: Capabilities, Trends, and Applications

AI agents are rapidly evolving toward a 2025 breakthrough in perception, autonomous planning, tool use and memory, driven by multimodal models, neural‑symbolic reasoning and embodied intelligence, with $27 billion investment forecasts, exemplified by general‑purpose agents like Manus and emerging applications in code generation, research, healthcare, and risk analysis.

AI AgentAgent FrameworkAutonomous Planning
0 likes · 12 min read
Advances and Future of AI Agents: Capabilities, Trends, and Applications
Alibaba Cloud Developer
Alibaba Cloud Developer
May 7, 2025 · Artificial Intelligence

What Is an AI Agent? Understanding the Shift from Chatbots to Intelligent Automation

This article explores the concept of AI agents, contrasting them with traditional software and chatbots, outlines their core components, workflow, and the technological and market forces driving their evolution, and provides practical guidance for improving agent performance and choosing between workflow and LLM approaches.

AI AgentLLMPrompt Engineering
0 likes · 24 min read
What Is an AI Agent? Understanding the Shift from Chatbots to Intelligent Automation
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 25, 2025 · Artificial Intelligence

Unlocking AI Agents: Theory, Design Patterns, and Hands‑On Experiments

This article combines theoretical analysis and practical case studies to systematically explore the core components, design patterns, and future directions of AI agents, detailing the implementation of OpenManus, custom memory and planning modules, experimental evaluations, and insights for improving agent reliability and scalability.

AI AgentLLMMemory
0 likes · 31 min read
Unlocking AI Agents: Theory, Design Patterns, and Hands‑On Experiments
Java Captain
Java Captain
Apr 17, 2025 · Artificial Intelligence

Demonstrating the Full Lifecycle of Model Context Protocol (MCP) with Tool Calls

This article explains how the Model Context Protocol (MCP) enables large language models to retrieve up‑to‑date external information through standardized tool calls, illustrating the complete end‑to‑end workflow with Python code for the MCP server, client, and host, and discussing its advantages for building AI agents.

AI AgentLLMMCP
0 likes · 21 min read
Demonstrating the Full Lifecycle of Model Context Protocol (MCP) with Tool Calls
Ma Wei Says
Ma Wei Says
Apr 16, 2025 · Artificial Intelligence

How Google’s A2A Protocol Enables Seamless AI Agent Collaboration

Google’s open‑source A2A (Agent‑to‑Agent) protocol, unveiled at Google Cloud Next 2025, defines a standardized, secure, Web‑based framework that lets heterogeneous AI agents discover each other, negotiate interactions, and manage cross‑agent tasks, supporting multimodal communication, long‑running jobs, and push notifications.

A2A protocolAI AgentGoogle Cloud
0 likes · 11 min read
How Google’s A2A Protocol Enables Seamless AI Agent Collaboration
Fun with Large Models
Fun with Large Models
Apr 12, 2025 · Artificial Intelligence

Build a No‑Code Travel‑Planning AI Assistant with VS Code, Cline, and Gaode MCP Server

This guide walks through setting up VS Code, installing the Cline plugin, configuring a Gaode Map MCP Server API key, and using the DeepSeek model to generate a personalized park‑recommendation agent and a visual HTML page, while also explaining the stdio‑based communication between Cline and the MCP Server.

AI AgentClineDeepSeek
0 likes · 15 min read
Build a No‑Code Travel‑Planning AI Assistant with VS Code, Cline, and Gaode MCP Server
Tencent Technical Engineering
Tencent Technical Engineering
Apr 11, 2025 · Information Security

Security Analysis of MCP and A2A Protocols for AI Agents

The article examines critical security flaws in Anthropic’s Model Context Protocol (MCP) and Google’s Agent‑to‑Agent (A2A) protocol—such as hidden tool‑poisoning, rug‑pull, and command‑injection attacks that can hijack AI agents and leak data—while proposing hardening measures like authentication, sandboxing, digital signatures, fine‑grained permissions, and robust OAuth‑based consent to safeguard AI‑agent communications.

A2AAI AgentMCP
0 likes · 26 min read
Security Analysis of MCP and A2A Protocols for AI Agents
JD Cloud Developers
JD Cloud Developers
Apr 7, 2025 · Artificial Intelligence

Why Bigger Prompts Fail: Modular Strategies for Building Efficient AI Agents

This article explains why overloading prompts and tools harms AI‑Agent performance, and offers practical modular design, intent‑driven instruction splitting, and efficient context management strategies such as curated function‑call tools and dynamic RAG to reduce token costs, improve response speed, and avoid hallucinations.

AI AgentFunction CallLLM
0 likes · 13 min read
Why Bigger Prompts Fail: Modular Strategies for Building Efficient AI Agents
BirdNest Tech Talk
BirdNest Tech Talk
Apr 3, 2025 · Artificial Intelligence

How Genspark’s Super Agent Outperforms OpenAI and Manus in GAIA Benchmarks

Genspark’s newly released Super Agent, built on a Mixture‑of‑Agents architecture that combines eight specialized LLMs and over 80 tools, claims to autonomously plan, execute, and integrate external services across tasks such as travel planning and video summarization, and reportedly surpasses OpenAI and Manus in the GAIA benchmark while offering instant access without an invitation code.

AI AgentGAIA benchmarkLLM
0 likes · 4 min read
How Genspark’s Super Agent Outperforms OpenAI and Manus in GAIA Benchmarks
Nightwalker Tech
Nightwalker Tech
Apr 1, 2025 · Artificial Intelligence

Evaluation of AutoGLM: Features, Architecture, and Practical Test Results

This article reviews AutoGLM, the first "think‑while‑doing" AI agent released by Zhipu AI, detailing its core capabilities, full‑stack architecture, user experience, identified limitations, and the outcomes of three hands‑on tests using both the client application and a Chrome extension.

AI AgentAutoGLMEvaluation
0 likes · 4 min read
Evaluation of AutoGLM: Features, Architecture, and Practical Test Results
Architect
Architect
Mar 29, 2025 · Artificial Intelligence

How Non‑AI Developers Can Build Powerful LLM Apps: Prompt Engineering, RAG, and AI Agents Explained

This article guides developers without an AI background through the fundamentals of building large‑language‑model applications, covering prompt engineering, multi‑turn interaction, function calling, retrieval‑augmented generation, vector databases, code assistants, and the MCP protocol for AI agents.

AI AgentFunction CallingLLM
0 likes · 51 min read
How Non‑AI Developers Can Build Powerful LLM Apps: Prompt Engineering, RAG, and AI Agents Explained
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Mar 24, 2025 · Artificial Intelligence

How to Build a Real‑Time Data Analysis Agent with LLMs, Hologres, and MCP

This article explains the challenges LLMs face in data analysis, introduces the Model Context Protocol (MCP) as a standard bridge, and provides a step‑by‑step guide to integrate Hologres, MCP, and large language models—using Claude Desktop as an example—to create a fast, multi‑source data‑analysis agent.

AI AgentHologresLLM
0 likes · 11 min read
How to Build a Real‑Time Data Analysis Agent with LLMs, Hologres, and MCP
Architect
Architect
Mar 18, 2025 · Artificial Intelligence

2025 AI Agent Technology Stack: Layers, Core Functions, and Future Directions

The article outlines the 2025 AI Agent technology stack, detailing its five layered architecture—model serving, storage & memory, tooling, framework orchestration, and deployment—while discussing current trends, challenges, and future directions such as tool ecosystem expansion, self‑evolution, and edge‑cloud hybrid deployments.

AI AgentObservabilityTool Integration
0 likes · 12 min read
2025 AI Agent Technology Stack: Layers, Core Functions, and Future Directions
Tencent Technical Engineering
Tencent Technical Engineering
Mar 10, 2025 · Artificial Intelligence

How Non‑AI Developers Can Build LLM Apps: Prompt Engineering, RAG, and Function Calling Explained

This guide shows non‑AI developers how to create large‑model applications by mastering prompt engineering, multi‑turn interactions, Retrieval‑Augmented Generation, function calling, and AI‑Agent integration, with practical code examples, tool design patterns, and deployment tips.

AI AgentFunction CallingLLM
0 likes · 48 min read
How Non‑AI Developers Can Build LLM Apps: Prompt Engineering, RAG, and Function Calling Explained
Architects' Tech Alliance
Architects' Tech Alliance
Mar 10, 2025 · Industry Insights

How AI Agents Are Redefining the Future of Intelligent Computing

This article provides a comprehensive analysis of AI agents, covering their historical origins, three‑layer technology stack, market size forecasts, evolution from training to inference, interaction modes, core modules, and the full industry chain from infrastructure providers to downstream applications.

AI AgentAI marketInference Computing
0 likes · 13 min read
How AI Agents Are Redefining the Future of Intelligent Computing
DevOps
DevOps
Mar 9, 2025 · Artificial Intelligence

A Beginner's Guide to Building Large Language Model Applications: Prompt Engineering, Retrieval‑Augmented Generation, Function Calling, and AI Agents

This article provides a comprehensive introduction to developing large language model (LLM) applications, covering prompt engineering, zero‑ and few‑shot techniques, function calling, retrieval‑augmented generation (RAG) with embedding and vector databases, code assistants, and the MCP protocol for building AI agents, all aimed at non‑AI specialists.

AI AgentFunction CallingLLM
0 likes · 48 min read
A Beginner's Guide to Building Large Language Model Applications: Prompt Engineering, Retrieval‑Augmented Generation, Function Calling, and AI Agents
Architecture and Beyond
Architecture and Beyond
Mar 9, 2025 · Artificial Intelligence

Evolution of AI Interaction Paradigms: From Function Calling to MCP and AI Agents

The article examines the rapid rise of AI agents like Manus and OpenManus, explains the limitations of cloud‑only models, details the Function Calling mechanism and its pros and cons, introduces the Model Context Protocol (MCP) as a more powerful evolution, and finally describes how AI Agents combine planning, dynamic tool use, memory, and autonomous decision‑making to achieve fully closed‑loop intelligent automation.

AI AgentAI automationAI interaction
0 likes · 20 min read
Evolution of AI Interaction Paradigms: From Function Calling to MCP and AI Agents
ZhongAn Tech Team
ZhongAn Tech Team
Mar 8, 2025 · Artificial Intelligence

Weekly AI Rumors Issue 15: Manus AI Agent Launch, GPT‑4.5 Evaluation, and LightThinker Technique

This issue reviews the hype around China’s Manus AI Agent and its invitation‑code controversy, critiques OpenAI’s GPT‑4.5 performance versus DeepSeek, showcases industry solutions using AI agents, and introduces the LightThinker method for dynamically compressing LLM inference chains to boost efficiency.

AI AgentAI marketGPT-4.5
0 likes · 15 min read
Weekly AI Rumors Issue 15: Manus AI Agent Launch, GPT‑4.5 Evaluation, and LightThinker Technique
AI Algorithm Path
AI Algorithm Path
Mar 6, 2025 · Artificial Intelligence

How Manus’s General AI Agent Could Redefine Future Workflows

Manus, billed as the world’s first true general AI agent, combines multi‑agent architecture, tool integration, and superior GAIA benchmark performance to automate complex tasks, while its invitation‑only rollout and ethical concerns illustrate the tension between hype‑driven marketing and sustainable AI adoption.

AI AgentGAIA benchmarkManus
0 likes · 6 min read
How Manus’s General AI Agent Could Redefine Future Workflows
Architect
Architect
Mar 6, 2025 · Artificial Intelligence

Analysis of the Manus Multi‑Agent AI System Architecture and Workflow

Manus is a general‑purpose AI agent that bridges thought and action through a multi‑agent architecture comprising planning, memory, and tool‑use modules, enabling autonomous task decomposition, execution, and result delivery across diverse scenarios such as travel planning, financial analysis, and education support.

AI AgentAutonomous PlanningMemory Management
0 likes · 15 min read
Analysis of the Manus Multi‑Agent AI System Architecture and Workflow
AI Code to Success
AI Code to Success
Mar 6, 2025 · Artificial Intelligence

How Monica’s ‘Manus’ AI Agent Redefines Human‑Computer Collaboration

Monica’s new AI agent Manus, unveiled on March 6, claims to autonomously handle complex tasks through multimodal processing, continuous learning, and intelligent decision‑making, with real‑world demos ranging from strategic planning to a smart home buying assistant, while sparking market hype, competitive comparisons, and debates on AI’s future role in the workforce.

AI AgentAI marketCompetitive Analysis
0 likes · 5 min read
How Monica’s ‘Manus’ AI Agent Redefines Human‑Computer Collaboration
Tencent Cloud Developer
Tencent Cloud Developer
Mar 4, 2025 · Artificial Intelligence

A Practical Guide to Building Large Language Model Applications: Prompt Engineering, Retrieval‑Augmented Generation, Function Calling and AI Agents

The guide teaches non‑AI developers how to build practical LLM‑powered applications by mastering prompt engineering, function calling, retrieval‑augmented generation, and AI agents, and introduces the Modal Context Protocol for seamless tool integration, offering a clear learning path to leverage large language models without deep theory.

AI AgentFunction CallingLLM
0 likes · 48 min read
A Practical Guide to Building Large Language Model Applications: Prompt Engineering, Retrieval‑Augmented Generation, Function Calling and AI Agents
Subtle Storm
Subtle Storm
Mar 3, 2025 · Artificial Intelligence

Everything You Need to Know About AI Agents (Intelligent Agents)

This article explains AI agents—also called intelligent agents—their definition, core concepts, components, classifications, key characteristics, underlying technologies, real‑world applications, and future research directions such as AGI, human‑machine collaboration, and edge deployment.

AGIAI AgentEdge Computing
0 likes · 9 min read
Everything You Need to Know About AI Agents (Intelligent Agents)
JavaEdge
JavaEdge
Mar 1, 2025 · Artificial Intelligence

What Are AI Agents? Risks, Benefits, and Future Directions

This article explores the rapid rise of AI agents, defining their autonomy spectrum, examining ethical risks and potential benefits across dimensions such as accuracy, assistiveness, fairness, and safety, and outlines current Hugging Face tools and recommendations for responsible development and future research.

AI AgentEthicsautonomy
0 likes · 27 min read
What Are AI Agents? Risks, Benefits, and Future Directions
Java Tech Enthusiast
Java Tech Enthusiast
Feb 19, 2025 · Artificial Intelligence

AI Agent Development Guide: Building Intelligent Agents with Coze Platform

The guide explains how to build AI agents—digital labor forces that follow instructions, plan tasks, and use tools—using ByteDance’s no‑code Coze platform, outlining a 3‑phase, 10‑step framework, emphasizing business‑first design, tool integration, and concise, scenario‑driven development with real‑world case studies.

AI AgentAgent Development FrameworkCoze platform
0 likes · 7 min read
AI Agent Development Guide: Building Intelligent Agents with Coze Platform
DevOps
DevOps
Feb 17, 2025 · Artificial Intelligence

Microsoft OmniParser V2.0: A Visual Agent Parsing Framework for Enhanced UI Understanding

Microsoft's OmniParser V2.0 transforms large language models such as DeepSeek‑R1, GPT‑4o, and Qwen‑2.5VL into visual AI agents by accurately detecting interactive UI elements, providing semantic descriptions, and generating structured representations that boost inference speed, reduce latency by 60%, and dramatically improve benchmark accuracy.

AI AgentDeepSeekGPT-4o
0 likes · 7 min read
Microsoft OmniParser V2.0: A Visual Agent Parsing Framework for Enhanced UI Understanding
Bilibili Tech
Bilibili Tech
Feb 11, 2025 · Artificial Intelligence

Building a Scalable AI Agent for Code Review: Practices, Architecture, and Challenges

The article outlines how to build a scalable, modular AI code‑review agent using LangChain, detailing stages from naive prompting to advanced prompt engineering, architecture with six core modules, strategies to curb hallucinations, improve reliability, performance, and human‑AI collaboration, and future RAG integration.

AI AgentLangChaincode review
0 likes · 22 min read
Building a Scalable AI Agent for Code Review: Practices, Architecture, and Challenges
DataFunTalk
DataFunTalk
Jan 27, 2025 · Artificial Intelligence

Improving AI Agent Planning and Reasoning: Challenges and Practical Solutions

The article examines current limitations of AI agents in planning and complex reasoning, critiques existing methods like COT/TOT and ReAct, and proposes practical strategies—including combined COT‑Reflection approaches, structured memory algorithms, and white‑box interaction designs—to enhance agent performance within the DataFun knowledge map framework.

AI AgentCoTdata modeling
0 likes · 3 min read
Improving AI Agent Planning and Reasoning: Challenges and Practical Solutions
DaTaobao Tech
DaTaobao Tech
Jan 24, 2025 · Artificial Intelligence

MktAI Assistant: AI‑Driven Marketing Data Query and Insight Platform

The MktAI Assistant combines LLM‑powered memory, skill planning, and tool‑calling with real‑time API data to replace slow, manual SQL dashboards, delivering sub‑minute, fresh, explainable marketing queries and attribution insights that boost decision speed, accuracy, and collaboration between data scientists and business users.

AI AgentChain-of-ThoughtFunction Calling
0 likes · 16 min read
MktAI Assistant: AI‑Driven Marketing Data Query and Insight Platform
DataFunTalk
DataFunTalk
Dec 27, 2024 · Artificial Intelligence

Designing Enterprise Business Analysis Agents with Large Language Models

This article explains how large‑model capabilities combined with metric and tag platforms can be used to build intelligent data‑analysis products for enterprises, covering challenges, solution routes such as NLP2SQL, NLP2API, NLP2Python, agent design, planning, and future outlooks.

AI AgentBusiness IntelligenceNLP2SQL
0 likes · 21 min read
Designing Enterprise Business Analysis Agents with Large Language Models
DaTaobao Tech
DaTaobao Tech
Nov 22, 2024 · Artificial Intelligence

AI Agents for Boosting Transaction System Efficiency

The article explains how AI agents, integrated into transaction systems, automate log analysis, generate test data via natural-language tools, and preserve expert knowledge, achieving at least a 50 % boost in issue-tracing efficiency, reducing debugging time, and empowering developers to focus on feature development and stability.

AI AgentDebuggingPrompt Engineering
0 likes · 14 min read
AI Agents for Boosting Transaction System Efficiency
Baidu Tech Salon
Baidu Tech Salon
Nov 19, 2024 · Artificial Intelligence

Baidu's Wenxin AI Agent Technology Wins Leading Science and Technology Award at 2024 World Internet Conference

At the 2024 World Internet Conference in Wuzhen, Baidu’s Wenxin AI Agent technology earned the Leading Science and Technology Award, marking its second consecutive win and highlighting the system’s brain‑inspired “System 2” architecture that enhances large‑model reasoning, accelerates diverse applications, and drives significant social and economic value.

AIAI AgentAward
0 likes · 6 min read
Baidu's Wenxin AI Agent Technology Wins Leading Science and Technology Award at 2024 World Internet Conference
JavaEdge
JavaEdge
Nov 9, 2024 · Artificial Intelligence

Build an AI‑Powered Airline Ticket Agent with Spring AI Alibaba

This tutorial walks through creating an intelligent airline‑ticket customer‑service agent using Spring AI Alibaba, covering requirements, architecture, RAG integration, function calling, chat memory, core capabilities, code implementation with ChatClient, and a sample running result.

AI AgentAlibabaChat Memory
0 likes · 9 min read
Build an AI‑Powered Airline Ticket Agent with Spring AI Alibaba
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 21, 2024 · Artificial Intelligence

How to Build a Six Thinking Hats AI Agent: From Concept to Deployment

This article introduces the Six Thinking Hats framework, explains its benefits, describes AI agent concepts and platforms, and provides a step‑by‑step guide with prompt examples for creating a low‑cost, fully‑featured Six Thinking Hats assistant using generative AI tools.

AI AgentAgent platformsPrompt Engineering
0 likes · 13 min read
How to Build a Six Thinking Hats AI Agent: From Concept to Deployment
JavaEdge
JavaEdge
Oct 15, 2024 · Artificial Intelligence

Build a Real‑Time Search & Bazi AI Agent with LangChain & FastAPI

This tutorial walks through creating a LangChain tool‑calling agent that combines a real‑time web search tool, a Qdrant vector store for local knowledge retrieval, and a custom Bazi fortune‑telling service, all wrapped in a FastAPI application for interactive use.

AI AgentFastAPILangChain
0 likes · 15 min read
Build a Real‑Time Search & Bazi AI Agent with LangChain & FastAPI
Architects' Tech Alliance
Architects' Tech Alliance
Oct 2, 2024 · Industry Insights

2024 China AI Agent Industry Report: Definitions, Architecture, Market Size and Trends

This report provides a comprehensive overview of the 2024 Chinese AI Agent industry, covering the definition and core architecture of AI agents, human‑AI collaboration modes, key features and classifications, market size forecasts, ecosystem players, business models, and emerging development trends.

2024AI AgentArtificial Intelligence
0 likes · 9 min read
2024 China AI Agent Industry Report: Definitions, Architecture, Market Size and Trends
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 6, 2024 · Artificial Intelligence

Zero‑Code AI Agent with Higress: Build, Deploy, and Understand ReAct

This article explains the AI Agent concept, introduces the AI Gateway plugin architecture, walks through zero‑code deployment of an AI Agent using Higress with AMap and Seniverse services, and details the ReAct‑based reasoning and tool‑calling implementation with code examples and workflow diagrams.

AI AgentAPI GatewayHigress
0 likes · 16 min read
Zero‑Code AI Agent with Higress: Build, Deploy, and Understand ReAct
21CTO
21CTO
Aug 19, 2024 · Artificial Intelligence

How to Become an AI Agent Developer: A Step‑by‑Step Roadmap

This article explains what AI agents are, why they matter, the essential soft and hard skills needed, and provides a detailed step‑by‑step roadmap for anyone aspiring to become an AI agent developer in the emerging AI‑driven software landscape.

AI AgentLLMbackend
0 likes · 6 min read
How to Become an AI Agent Developer: A Step‑by‑Step Roadmap
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 19, 2024 · Artificial Intelligence

Ensuring Stable AI Agents: Engineering Practices, RAG, and Monitoring

This article shares engineering insights from Hema’s AI smart customer service deployment, detailing key stability factors for AI agents—including hallucination mitigation, memory integration, RAG enhancement, exception handling, and comprehensive monitoring—to improve reliability and performance in real‑world e‑commerce chatbot scenarios.

AI AgentE‑commerceLLM
0 likes · 13 min read
Ensuring Stable AI Agents: Engineering Practices, RAG, and Monitoring
Volcano Engine Developer Services
Volcano Engine Developer Services
Aug 15, 2024 · Artificial Intelligence

How We Built a Turing‑Test Game with Coze AI Agents: Lessons and Challenges

Discover how we created the AI‑powered game “I’m Surrounded by AI!” on the Coze Agent platform, detailing the game’s Turing‑test premise, workflow‑driven state management, code‑based variable handling, database integration, and the practical challenges we overcame to deliver an engaging human‑vs‑AI experience.

AI AgentCozeGame Development
0 likes · 10 min read
How We Built a Turing‑Test Game with Coze AI Agents: Lessons and Challenges
37 Interactive Technology Team
37 Interactive Technology Team
Aug 5, 2024 · Artificial Intelligence

Case Study: Applying AIGC to Component Activity Business with Dify

This case study shows how AIGC, implemented through Dify’s low‑code platform, enables a natural‑language AI assistant to recommend and insert the optimal components from a 200‑plus library, streamlining selection, building an embedding‑based knowledge base, exposing a RAG‑driven agent via API, and demonstrating rapid AI‑business validation compared with custom frameworks.

AI AgentAIGCDify
0 likes · 8 min read
Case Study: Applying AIGC to Component Activity Business with Dify
Open Source Tech Hub
Open Source Tech Hub
Jul 31, 2024 · Artificial Intelligence

Understanding LLMs, AI Agents, and Retrieval-Augmented Generation: Key Concepts and Challenges

This article explains the fundamentals of large language models, artificial general intelligence, AI-generated content, AI agents, retrieval‑augmented generation, knowledge bases, multimodal processing, fine‑tuning, alignment, tokens, vectors, and related tools, highlighting their capabilities, limitations, and practical considerations.

AI AgentArtificial IntelligenceLLM
0 likes · 14 min read
Understanding LLMs, AI Agents, and Retrieval-Augmented Generation: Key Concepts and Challenges
Model Perspective
Model Perspective
Jul 23, 2024 · Artificial Intelligence

Building Your Own AI Agent with LangChain: A Hands‑On Guide

This article walks through the author’s experience creating a custom AI agent using LangChain and OpenAI APIs, explains the concepts of AI agents and the ReAct reasoning framework, provides step‑by‑step code, discusses required libraries and APIs, and shares practical tips and challenges encountered.

AI AgentLLMLangChain
0 likes · 16 min read
Building Your Own AI Agent with LangChain: A Hands‑On Guide
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Jul 18, 2024 · Artificial Intelligence

Why AI Agents Are the Next Frontier of Intelligent Systems

This article surveys the rapid rise of AI agents powered by large language models, explaining their core perception‑planning‑action loop, memory architectures, tool‑use mechanisms, self‑reflection techniques, and real‑world case studies while highlighting current challenges and future prospects for autonomous intelligent systems.

AI AgentAutonomous SystemsLLM
0 likes · 29 min read
Why AI Agents Are the Next Frontier of Intelligent Systems
DataFunSummit
DataFunSummit
Jul 17, 2024 · Artificial Intelligence

Overview of LLM‑Based Agents: Architecture, Key Challenges, and Future Directions

This article reviews the emerging field of large‑language‑model (LLM) based AI agents, outlining their overall architecture, core modules such as profiling, memory, planning and action, discussing current challenges, presenting concrete use‑cases, and highlighting promising research directions.

AI AgentLLMMemory Mechanism
0 likes · 11 min read
Overview of LLM‑Based Agents: Architecture, Key Challenges, and Future Directions
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 17, 2024 · Artificial Intelligence

How Alibaba Cloud Built Service‑Domain AI Agents: Design, Practice, and Results

This article explains how Alibaba Cloud designed and deployed large‑language‑model agents for its service domain, covering background, ideal LLM deployment, the shift from explanation to problem solving, the agent framework, practical implementation, automation trade‑offs, training, evaluation, and real‑world impact.

AI AgentAlibaba CloudLLM
0 likes · 20 min read
How Alibaba Cloud Built Service‑Domain AI Agents: Design, Practice, and Results
Baidu MEUX
Baidu MEUX
Jul 11, 2024 · Artificial Intelligence

How Baidu’s AI “Wealth God” Agent Redefines Design and User Engagement

This article examines Baidu's AI "Wealth God" agent case study, outlining abstract and concrete AI agent genes, brand‑centric design strategies, multi‑scenario adaptability, and story‑driven experiences that together illustrate how AI agents can transform product design, user interaction, and business innovation.

AI AgentBaiduBrand
0 likes · 11 min read
How Baidu’s AI “Wealth God” Agent Redefines Design and User Engagement
JavaEdge
JavaEdge
Jun 28, 2024 · Artificial Intelligence

Designing Agent Personality and Emotion Handling with LangChain Prompt Templates

This article explains how to craft system prompts that give an AI agent a distinct personality and emotional behavior, shows how to implement an emotion‑detection chain, compares ChatPromptTemplate.from_messages with from_template, and integrates the agent into a FastAPI service with full code examples.

AI AgentEmotion DetectionFastAPI
0 likes · 13 min read
Designing Agent Personality and Emotion Handling with LangChain Prompt Templates
DataFunTalk
DataFunTalk
Jun 17, 2024 · Artificial Intelligence

AI Agent Applications and Architecture in the 1688 E‑commerce Platform

This article summarizes the exploration of AI agents on the 1688 e‑commerce platform, covering the value of large language models, the agent solution architecture, deployment strategies, multi‑turn interaction design, AI‑driven innovation paradigms, and future planning discussed at DataFunCon 2024.

AI AgentMulti‑turn InteractionPrompt Engineering
0 likes · 26 min read
AI Agent Applications and Architecture in the 1688 E‑commerce Platform
DaTaobao Tech
DaTaobao Tech
Jun 7, 2024 · Artificial Intelligence

Exploring AI Agent Integration in HandCat App: Architecture, Tool Management, and Implementation

The HandCat team designed an end‑to‑LLM pipeline that separates agent templates, tool protocols, and view layers, enabling LLM‑driven agents with memory, planning, and three tool types—general, selector, and interruptor—to safely manage sessions, handle errors, and balance granularity for performance within a commercial mobile app.

AI AgentAgent LabLLM
0 likes · 18 min read
Exploring AI Agent Integration in HandCat App: Architecture, Tool Management, and Implementation
Baidu Geek Talk
Baidu Geek Talk
May 27, 2024 · Artificial Intelligence

Baidu Commercial Advertising Platform Multi-Agent Architecture: From Theory to Practice

Baidu’s Commercial Advertising Platform employs a multi‑agent architecture that combines large‑ and small‑model collaboration, SOP‑driven task decomposition, and long‑term memory to transform natural‑language queries into precise, personalized advertising actions, achieving up to 98.5% parsing accuracy and cutting analysis time from over 30 minutes to under one minute.

AI AgentBaiduErnie Bot
0 likes · 17 min read
Baidu Commercial Advertising Platform Multi-Agent Architecture: From Theory to Practice
Cognitive Technology Team
Cognitive Technology Team
May 23, 2024 · Operations

eBPF + LLM: Building the Infrastructure for Observability Agents

The article explains how zero‑intrusion eBPF provides full‑stack, high‑quality observability data that, when combined with large language models, enables AI‑driven agents to automate ticket handling, change impact analysis, and vulnerability triage, dramatically improving operational efficiency.

AI AgentLLMObservability
0 likes · 17 min read
eBPF + LLM: Building the Infrastructure for Observability Agents
IT Services Circle
IT Services Circle
May 1, 2024 · Artificial Intelligence

Summary of Andrew Ng’s AI Agent Talk: Models, Workflows, and Design Patterns

The article summarizes Andrew Ng’s presentation on AI agents, contrasting traditional single‑prompt large‑model usage with iterative agent‑based workflows, reporting experimental accuracy gains, and outlining four agent design patterns—reflection, tool use, planning, and multi‑agent collaboration—while discussing practical trade‑offs such as latency and token speed.

AI AgentDesign PatternsModel Evaluation
0 likes · 7 min read
Summary of Andrew Ng’s AI Agent Talk: Models, Workflows, and Design Patterns
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Apr 12, 2024 · Artificial Intelligence

Typical Business and Technical Architectures for Large Language Model Applications

This article reviews the common business and technical architectures used in large language model (LLM) applications, explains AI Embedded, AI Copilot, and AI Agent modes—including single‑ and multi‑agent systems—and offers guidance on selecting appropriate technology stacks such as prompt‑only, function‑calling agents, RAG, and fine‑tuning.

AI AgentLLMMulti-agent
0 likes · 9 min read
Typical Business and Technical Architectures for Large Language Model Applications
DataFunTalk
DataFunTalk
Apr 8, 2024 · Artificial Intelligence

LLM‑Based Agents: Architecture, Key Challenges, and Future Directions

This article surveys the emerging field of large‑language‑model (LLM) based agents, detailing their modular architecture—including profiling, memory, planning, and action components—while discussing critical challenges such as role‑playing, memory design, reasoning, multi‑agent collaboration, and outlining promising research directions and practical case studies.

AI AgentLLMMemory Mechanism
0 likes · 11 min read
LLM‑Based Agents: Architecture, Key Challenges, and Future Directions
phodal
phodal
Mar 7, 2024 · Artificial Intelligence

Unlocking AutoDev’s AI Agent: Custom Actions to Supercharge Your IDE

This article explains how AutoDev 1.7.0 introduces a server‑side AI Agent that can be integrated into the IDE, offering three response types—Direct, TextChunk, and WebView—through configurable JSON endpoints, with practical demos, code snippets, and guidance for extending development workflows.

AI AgentAutoDevCustom Actions
0 likes · 5 min read
Unlocking AutoDev’s AI Agent: Custom Actions to Supercharge Your IDE
JD Retail Technology
JD Retail Technology
Mar 4, 2024 · Artificial Intelligence

How JD Retail Integrates LLMs with SFT, RAG, and AI Agents for Real-World Impact

This article examines JD Retail's end‑to‑end large language model framework that combines supervised fine‑tuning, retrieval‑augmented generation, and ReAct‑based AI agents to overcome retail‑specific challenges, improve model accuracy, reduce hallucinations, and enable autonomous multi‑step business workflows.

AI AgentArtificial IntelligenceLLM
0 likes · 20 min read
How JD Retail Integrates LLMs with SFT, RAG, and AI Agents for Real-World Impact
Data Thinking Notes
Data Thinking Notes
Dec 24, 2023 · Artificial Intelligence

Boost Text2SQL Accuracy with AI Agents: A LangChain Practical Guide

This article explores how AI agents, particularly those built with LangChain, can enhance Text2SQL performance by decomposing queries, leveraging tools, memory, and planning, and provides practical code examples and future directions for developers.

AI AgentLangChainPrompt Engineering
0 likes · 16 min read
Boost Text2SQL Accuracy with AI Agents: A LangChain Practical Guide
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Dec 12, 2023 · Artificial Intelligence

How LangChain Powers AI Agents: Principles, Debugging, and Real‑World Optimizations

This article explains the concept of AI Agents in the large‑language‑model era, details LangChain's implementation mechanics, shares practical challenges and optimizations encountered by NetEase Cloud Music, and provides step‑by‑step code examples and performance insights for building robust AI Agents.

AI AgentDebuggingLLM
0 likes · 20 min read
How LangChain Powers AI Agents: Principles, Debugging, and Real‑World Optimizations
AI Large Model Application Practice
AI Large Model Application Practice
Sep 6, 2023 · Artificial Intelligence

Prompt Engineering vs Fine‑Tuning: How to Choose the Best Strategy for Reliable LLM Outputs

This article compares Prompt Engineering and Supervised Fine‑Tuning for large language models, explains their principles, showcases common prompt patterns such as Chain‑of‑Thought, ReAct and Self‑Ask, outlines fine‑tuning stages and trade‑offs, and provides practical guidance on selecting the most suitable approach for specific enterprise AI Agent scenarios.

AI AgentLLMPrompt Engineering
0 likes · 17 min read
Prompt Engineering vs Fine‑Tuning: How to Choose the Best Strategy for Reliable LLM Outputs