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AI Agent

877 articles · Page 8 of 9
dbaplus Community
dbaplus Community
Dec 7, 2025 · Artificial Intelligence

How AI Agents Can Revolutionize Data Governance: A Step‑by‑Step Blueprint

This article explains how AI agents transform traditional data governance by introducing a four‑layer perception‑decision‑execution‑learning architecture, detailing the required technologies, tool integrations, code examples, deployment steps, team roles, security safeguards, and practical rollout strategies for enterprises seeking automated, intelligent data management.

AI AgentData QualityLangChain
0 likes · 10 min read
How AI Agents Can Revolutionize Data Governance: A Step‑by‑Step Blueprint
Code Wrench
Code Wrench
Dec 6, 2025 · Artificial Intelligence

Build a Local Go AI Agent with Ollama and DeepSeek – MVP Guide

This article walks you through creating a fully offline, extensible AI programming assistant in Go, using Ollama and DeepSeek‑R1, covering project layout, message formats, function calling, tool integration, a simple WebSocket UI, and future extension ideas.

AI AgentGoLocal LLM
0 likes · 10 min read
Build a Local Go AI Agent with Ollama and DeepSeek – MVP Guide
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Dec 5, 2025 · Artificial Intelligence

Why Do LLM Function Calls Hallucinate Parameters and How to Prevent It?

This article explains the root causes of hallucinated parameters in LLM Function Calls, outlines five common failure patterns, and presents a systematic five‑step engineering framework—including schema design, prompt rules, dynamic routing, result validation, and clarification—to reliably eliminate such errors in real‑world AI agents.

AI AgentFunction CallLLM
0 likes · 11 min read
Why Do LLM Function Calls Hallucinate Parameters and How to Prevent It?
Instant Consumer Technology Team
Instant Consumer Technology Team
Dec 4, 2025 · Artificial Intelligence

How to Build an AI‑Powered Jira Assistant with LangGraph, RAG, and MCP

This article walks through the design and implementation of an AI‑driven Jira assistant that uses LangGraph as the agent brain, Retrieval‑Augmented Generation for knowledge access, and a Model Context Protocol (MCP) server to execute Jira operations, complete with architecture diagrams, code snippets, and practical use cases.

AI AgentJira AutomationLangGraph
0 likes · 12 min read
How to Build an AI‑Powered Jira Assistant with LangGraph, RAG, and MCP
BirdNest Tech Talk
BirdNest Tech Talk
Dec 4, 2025 · Frontend Development

How to Build a Real‑Time AI Agent UI with SSE and Session Replay

This article walks through the design and implementation of a visually striking, real‑time front‑end for an AI agent, explaining why Server‑Sent Events were chosen, showing Go and JavaScript code for streaming, and detailing a session‑replay feature that lets users review every agent decision step.

AI AgentAgent UIGo
0 likes · 9 min read
How to Build a Real‑Time AI Agent UI with SSE and Session Replay
Efficient Ops
Efficient Ops
Dec 3, 2025 · Artificial Intelligence

Unlocking AI Agent Paradigms: 6 Patterns to Supercharge Operations

This article introduces six core AI agent paradigms—Prompt Chain, Routing & Handoff, Parallelization, Tool Use, ReAct, and Multi‑Agent—explaining their concepts, real‑world analogies, and practical examples for enhancing efficiency and intelligence in operational workflows.

AI AgentArtificial IntelligenceOperations
0 likes · 6 min read
Unlocking AI Agent Paradigms: 6 Patterns to Supercharge Operations
51CTO HarmonyOS Developer Community
51CTO HarmonyOS Developer Community
Dec 3, 2025 · Mobile Development

HarmonyOS 6 Deep Dive: Four Core Capabilities for Multi-Device, AI, UI & Live Views

This article explores HarmonyOS 6's four core development capabilities: the 'one-to-many' multi-device adaptation framework, AI agent integration via Xiaoyi platform, UI Design Kit for native-grade interfaces, and Live View Kit for real-time system-level notifications, with code examples and implementation guides.

AI AgentArkTSHarmonyOS 6
0 likes · 36 min read
HarmonyOS 6 Deep Dive: Four Core Capabilities for Multi-Device, AI, UI & Live Views
Amazon Cloud Developers
Amazon Cloud Developers
Nov 29, 2025 · Artificial Intelligence

What You Must Know About AI Agents: Insights from Dr. Swami’s TED Talk

The article summarizes Dr. Swami Sivasubramanian’s TED talk, defining AI Agents, detailing three milestones that built developer trust through mathematical verification, showcasing democratized agent construction with real‑world examples, and outlining how these advances will reshape creativity and scientific discovery.

AI AgentAgentic AIArtificial Intelligence
0 likes · 11 min read
What You Must Know About AI Agents: Insights from Dr. Swami’s TED Talk
Java Web Project
Java Web Project
Nov 27, 2025 · Artificial Intelligence

How Spring AI Alibaba Admin Overcomes Enterprise AI Agent Deployment Pain Points

Spring AI Alibaba Admin addresses three major engineering obstacles—inefficient prompt debugging, unreliable AI quality assessment, and opaque production operations—by providing a full AI agent lifecycle platform with versioned prompt management, dataset versioning, flexible evaluator configuration, experiment automation, and end‑to‑end observability.

AI AgentEnterprise AIPrompt Management
0 likes · 10 min read
How Spring AI Alibaba Admin Overcomes Enterprise AI Agent Deployment Pain Points
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Nov 27, 2025 · Artificial Intelligence

Why Your Enterprise AI Agent Fails and How to Fix the Four Biggest Pitfalls

This article explains why many enterprise AI agents break down in real projects, identifies four common pitfalls—including mistaking agents for chatbots, lacking schema‑level tool logic, missing memory and variable injection, and absent end‑to‑end pipelines—and offers concrete engineering solutions to build robust, task‑driven agents.

AI AgentEnd-to-End PipelineEnterprise AI
0 likes · 8 min read
Why Your Enterprise AI Agent Fails and How to Fix the Four Biggest Pitfalls
BirdNest Tech Talk
BirdNest Tech Talk
Nov 26, 2025 · Artificial Intelligence

Unlock Framework‑Less Deep Research AI with GoSkills Agent in Pure Go

GoSkills Agent is a lightweight, framework‑less Go implementation of a Deep Research AI assistant that combines autonomous planning, real‑time web search, intelligent analysis, and markdown reporting, offering a fully native CLI experience with clear architecture and extensible components.

AI AgentCLIDeep Research
0 likes · 9 min read
Unlock Framework‑Less Deep Research AI with GoSkills Agent in Pure Go
Java Tech Enthusiast
Java Tech Enthusiast
Nov 26, 2025 · Artificial Intelligence

How LLM, RAG, and AI Agents Work Together

The article clarifies how large language models (LLM), retrieval‑augmented generation (RAG), and AI agents complement each other, describing the brain‑like reasoning of LLMs, the dynamic knowledge access provided by RAG, and the autonomous action capabilities of AI agents, plus practical usage scenarios.

AI AgentArtificial IntelligenceLLM
0 likes · 7 min read
How LLM, RAG, and AI Agents Work Together
Tencent Technical Engineering
Tencent Technical Engineering
Nov 24, 2025 · Artificial Intelligence

Inside Google gemini-cli: Turning the Terminal into an AI Agent with ReAct Architecture

This article systematically dissects Google’s open‑source gemini‑cli, revealing how it transforms a traditional command‑line terminal into an AI‑driven collaborative interface by detailing its ReAct loop, tool‑calling mechanisms, context management, and extensible architecture for building similar terminal agents.

AI AgentCLIGemini CLI
0 likes · 27 min read
Inside Google gemini-cli: Turning the Terminal into an AI Agent with ReAct Architecture
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Nov 24, 2025 · Artificial Intelligence

How to Supercharge Transformer AI Agents with Model Compression and Inference Acceleration

This article explains why Transformer models dominate modern AI agents, outlines the challenges of large parameter counts and latency, and presents a comprehensive guide to model compression (parameter sharing, knowledge distillation, quantization, pruning) and inference acceleration (parallel computing, optimized attention, TensorRT deployment), complete with PyTorch code examples and a real‑world case study showing speed‑up and storage savings.

AI AgentInference AccelerationPyTorch
0 likes · 34 min read
How to Supercharge Transformer AI Agents with Model Compression and Inference Acceleration
Alipay Experience Technology
Alipay Experience Technology
Nov 18, 2025 · Mobile Development

Boosting KMP Native Cross‑Platform Development with AI Agents: Real‑World Practices

This article details how Alipay's engineering team built an AI‑Agent‑powered coding assistant for Kotlin Multiplatform (KMP) native cross‑platform development, covering architecture, UI generation from designs and images, RAG‑based knowledge retrieval, crash analysis, and future directions for AI‑driven software engineering.

AI AgentCompose MultiplatformKMP
0 likes · 20 min read
Boosting KMP Native Cross‑Platform Development with AI Agents: Real‑World Practices
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 12, 2025 · Artificial Intelligence

How Self‑Programming AI Agents Are Built: From LLM Brain to Dynamic Code Execution

This article explains how a self‑programming AI Agent is constructed by extending large language models as the brain, designing a multi‑area architecture, implementing memory layers, prompt engineering with segment mechanisms, and enabling code generation and execution through a Python‑Java bridge, while sharing practical insights and future directions.

AI AgentCode ExecutionLLM
0 likes · 34 min read
How Self‑Programming AI Agents Are Built: From LLM Brain to Dynamic Code Execution
Architect's Tech Stack
Architect's Tech Stack
Nov 11, 2025 · Artificial Intelligence

Tackling AI Agent Development Pain Points with Spring AI Alibaba Admin

Spring AI Alibaba Admin is an Alibaba‑built platform that extends Spring AI to address three major engineering hurdles—inefficient prompt debugging, uncertain AI quality, and opaque production operations—by offering comprehensive prompt, dataset, evaluator, experiment, observability, and model‑configuration capabilities for enterprise AI agents.

AI AgentAlibabaPrompt Management
0 likes · 8 min read
Tackling AI Agent Development Pain Points with Spring AI Alibaba Admin
Wuming AI
Wuming AI
Nov 10, 2025 · Artificial Intelligence

What Exactly Is an AI Agent? A Clear, Practical Guide

This article explains the concept of AI agents, contrasting them with chatbots, detailing their ability and structural layers, summarizing academic surveys and whitepapers, and illustrating how agents plan, perceive, and act to autonomously accomplish user‑defined goals.

AI AgentAgent ArchitectureAutonomous Planning
0 likes · 9 min read
What Exactly Is an AI Agent? A Clear, Practical Guide
JD Tech Talk
JD Tech Talk
Nov 10, 2025 · Artificial Intelligence

Designing an AI-Powered Experiment Analysis Agent: Architecture, Workflow, and Future Enhancements

This article outlines the motivation, design, architecture, engineering implementation, large‑model selection, and future improvement plans for an AI‑driven experiment analysis agent that integrates data aggregation, modular workflow orchestration, and interactive frontend features to streamline AB‑test insights.

AI AgentWorkflow Designexperiment analysis
0 likes · 14 min read
Designing an AI-Powered Experiment Analysis Agent: Architecture, Workflow, and Future Enhancements
Architecture and Beyond
Architecture and Beyond
Nov 9, 2025 · Artificial Intelligence

Why Most AI Agents Use Workflows and How to Design Effective Ones

The article examines why most AI agents operate as workflow‑driven systems due to the reliability, accuracy, execution and cost limits of large models, and offers practical guidance on designing, evaluating, and iterating effective workflow agents while acknowledging their constraints and future prospects.

AI AgentArtificial IntelligenceProduct Design
0 likes · 12 min read
Why Most AI Agents Use Workflows and How to Design Effective Ones
AI Tech Publishing
AI Tech Publishing
Nov 5, 2025 · Artificial Intelligence

Why AI Agents Should Be Positioned as Assistants, Not Replacements

The article explains that marketing AI agents as human replacements leads to poor performance, professional resistance, and hallucination risks, and argues that repositioning them as assistants with human‑in‑the‑loop verification improves efficiency and acceptance.

AI AgentBI EngineerData Agent
0 likes · 3 min read
Why AI Agents Should Be Positioned as Assistants, Not Replacements
Data STUDIO
Data STUDIO
Nov 4, 2025 · Artificial Intelligence

How to Build a Memory-Enabled AI Agent with SQLite and Vector Search

This article explains how to give AI agents persistent memory, reflection, and goal‑tracking by storing interaction summaries in SQLite, embedding them for semantic retrieval with a vector database, and using LLM‑generated prompts to recall, reflect, and manage objectives across sessions.

AI AgentGoal TrackingLLM
0 likes · 10 min read
How to Build a Memory-Enabled AI Agent with SQLite and Vector Search
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Nov 3, 2025 · Artificial Intelligence

How AI Agents Are Revolutionizing Technology: The New Engine of Innovation

This article explores the rise of AI agents—from their definition as intelligent digital assistants powered by large language models to their evolution through planning, memory, and tool use—highlighting real‑world applications, core technical mechanisms, code implementations, and future trends such as autonomy, multimodal fusion, standardization, and safety considerations.

AI AgentMultimodalStandardization
0 likes · 24 min read
How AI Agents Are Revolutionizing Technology: The New Engine of Innovation
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 22, 2025 · Artificial Intelligence

Why Human‑Designed Task Planning Beats Fully Autonomous AI Agents in Enterprise Databases

This article examines the architecture of AI agents, compares fully autonomous task planning with human‑crafted planning in Alibaba Cloud's RDS AI Assistant, presents real‑world accuracy data, and proposes a hybrid, case‑library‑driven approach to achieve reliable, explainable, and repeatable database operations.

AI Agentdatabase operationstask planning
0 likes · 18 min read
Why Human‑Designed Task Planning Beats Fully Autonomous AI Agents in Enterprise Databases
Fun with Large Models
Fun with Large Models
Oct 22, 2025 · Artificial Intelligence

Building and Deploying a Multi‑Agent DeepResearch App with LangGraph

This article walks through constructing a LangGraph graph that encapsulates three agents—task planning, web search, and report generation—into a DeepResearch application, then shows how to package and deploy the backend and frontend so users can interact with the system via a web UI.

AI AgentDeepResearchLangGraph
0 likes · 12 min read
Building and Deploying a Multi‑Agent DeepResearch App with LangGraph
JavaGuide
JavaGuide
Oct 17, 2025 · Artificial Intelligence

Alibaba Open‑Sources Spring AI Alibaba Admin: A Full‑Lifecycle AI Agent Platform

Spring AI Alibaba extends Spring AI with multi‑agent and enterprise features, but faces three engineering hurdles—inefficient prompt debugging, unguaranteed AI quality, and opaque operations—so Alibaba released Spring AI Alibaba Admin, offering prompt templating, dataset versioning, evaluator configuration, experiment management, and deep observability to streamline AI agent development and deployment.

AI AgentEvaluatorOpenTelemetry
0 likes · 8 min read
Alibaba Open‑Sources Spring AI Alibaba Admin: A Full‑Lifecycle AI Agent Platform
Ubiquitous Tech
Ubiquitous Tech
Oct 17, 2025 · Artificial Intelligence

6 Essential AI Agent Design Patterns for Efficient Workflows

This article presents six practical AI Agent design patterns—chain, parallel, routing, coordinator‑executor, generator‑evaluator (reflection), and tool‑use—explaining their concepts, typical use cases, and workflow diagrams, and shows how they improve reliability, maintainability, and performance of LLM‑driven applications.

AI AgentDesign PatternsLLM
0 likes · 20 min read
6 Essential AI Agent Design Patterns for Efficient Workflows
Alibaba Cloud Native
Alibaba Cloud Native
Oct 16, 2025 · Artificial Intelligence

How Spring AI Alibaba Admin Powers Data‑Centric AI Agent Development and Ops

This article outlines the industry shift toward large‑scale AI Agent deployment, identifies key engineering challenges such as prompt management, quality assessment, and observability, and presents Spring AI Alibaba Admin—a cloud‑native platform that offers prompt, dataset, evaluator, and tracing capabilities, complete with setup instructions and future roadmap.

AI AgentJavaNacos
0 likes · 15 min read
How Spring AI Alibaba Admin Powers Data‑Centric AI Agent Development and Ops
Tech Stroll Journey
Tech Stroll Journey
Oct 15, 2025 · Artificial Intelligence

From Tools to Autonomous Employees: Understanding AI Agents

This article explains AI Agents by contrasting them with traditional AI tools, detailing their official definition, core components—planning, tool use, memory, action—illustrating a travel‑planning example, outlining agent types, and highlighting their significance for AGI and real‑world applications.

AI AgentMemoryaction
0 likes · 7 min read
From Tools to Autonomous Employees: Understanding AI Agents
Instant Consumer Technology Team
Instant Consumer Technology Team
Oct 15, 2025 · Artificial Intelligence

Master Claude Code: Complete Guide to Every cc Command for AI Agent Development

This article systematically walks through all Claude Code (cc) command‑line options, organizing them by development workflow—from self‑help and status checks, through IDE integration and appearance settings, to core LLM, action, memory, tool configurations, collaborative Git features, and conversation export—helping developers quickly master the tool.

AI AgentClaude CodeGit-integration
0 likes · 7 min read
Master Claude Code: Complete Guide to Every cc Command for AI Agent Development
Amazon Cloud Developers
Amazon Cloud Developers
Oct 15, 2025 · Artificial Intelligence

From PoC to Production: Build a Full‑Featured Customer Support Agent with Amazon Bedrock AgentCore

This article walks through turning a simple proof‑of‑concept customer‑support AI agent into a production‑ready system by leveraging Amazon Bedrock AgentCore services—Memory, Gateway, Identity, Observability, and Runtime—while requiring only minimal code changes and no months of custom infrastructure work.

AI AgentAgentCoreAmazon Bedrock
0 likes · 30 min read
From PoC to Production: Build a Full‑Featured Customer Support Agent with Amazon Bedrock AgentCore
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Oct 15, 2025 · Artificial Intelligence

Unlocking AI Agents: From Fundamentals to Cutting‑Edge Applications

This article provides a comprehensive overview of AI agents, explaining their core concepts, architecture, memory and planning mechanisms, tool integration, key prompting techniques such as Chain‑of‑Thought and Tree‑of‑Thought, and showcases real‑world case studies and future trends that illustrate how AI agents extend large language models to automate complex tasks.

AI Agentprompt engineering
0 likes · 40 min read
Unlocking AI Agents: From Fundamentals to Cutting‑Edge Applications
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 13, 2025 · Artificial Intelligence

Building Reliable AI Agents: A Practical Guide from Prompt Engineering to Workflows and Knowledge Bases

This article systematically explains how to build a reliable, production‑ready AI agent by covering its core architecture—LLM, prompts, workflow, RAG, and tools—detailing prompt‑engineering techniques, DSL‑based workflow design, knowledge‑base construction, security considerations, and project planning methods.

AI AgentLLMRAG
0 likes · 17 min read
Building Reliable AI Agents: A Practical Guide from Prompt Engineering to Workflows and Knowledge Bases
AI Large Model Application Practice
AI Large Model Application Practice
Oct 13, 2025 · Artificial Intelligence

How to Tame LLM Agents: Proven Strategies to Reduce Uncertainty and Boost Reliability

This article outlines practical techniques—including prompt engineering, domain fine‑tuning, retrieval‑augmented generation, structured outputs, workflow constraints, model parameter control, behavior rules, risk‑based AI participation, and comprehensive governance—to curb the unpredictability of large language model agents in enterprise settings.

AI AgentAI governanceLLM
0 likes · 18 min read
How to Tame LLM Agents: Proven Strategies to Reduce Uncertainty and Boost Reliability
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Oct 12, 2025 · Artificial Intelligence

The AI Testing Tool Trilogy: Engineering the Path from Data to Agents

This article outlines a three‑part framework for AI‑driven testing—building a knowledge‑graph‑based cognitive brain, deploying autonomous Android GUI AI agents, and integrating AI into DevOps pipelines—to transform software testing from fragile scripting to intelligent, self‑optimizing processes.

AI AgentAI testingDevOps
0 likes · 11 min read
The AI Testing Tool Trilogy: Engineering the Path from Data to Agents
Architecture and Beyond
Architecture and Beyond
Oct 12, 2025 · Artificial Intelligence

How Do AI Agents Know When to Stop? Strategies and Real-World Implementations

This article explores the essential stop‑condition designs for AI agents, detailing hard limits, task‑completion checks, explicit termination tools, loop detection, error accumulation, and user interruption, and then examines concrete implementations in OpenManus and Gemini CLI with code examples and multi‑layer safeguards.

AI AgentGemini CLILLM
0 likes · 17 min read
How Do AI Agents Know When to Stop? Strategies and Real-World Implementations
Volcano Engine Developer Services
Volcano Engine Developer Services
Oct 9, 2025 · Artificial Intelligence

Why AI Agents Risk Losing Control and How AgentArmor Secures Them

The article examines the emerging security challenges of AI agents, outlines four fundamental vulnerabilities, and introduces the AgentArmor framework—featuring a graph constructor, property registry, and type system—to compile agent behavior into verifiable programs and dramatically reduce attack success rates.

AI AgentAgentArmorProgram Dependency Graph
0 likes · 15 min read
Why AI Agents Risk Losing Control and How AgentArmor Secures Them
AI Cyberspace
AI Cyberspace
Oct 4, 2025 · Artificial Intelligence

Exploring OpenManus: A Deep Dive into an Open‑Source AI Agent Framework

This article provides a comprehensive overview of OpenManus, an open‑source, general‑purpose AI agent framework, covering its installation, configuration, core architecture—including BaseAgent, ReActAgent, ToolCallAgent, and Manus—its extensive tool collection, execution logs, and detailed code analysis for developers and AI researchers.

AI AgentOpenManusPython
0 likes · 74 min read
Exploring OpenManus: A Deep Dive into an Open‑Source AI Agent Framework
Fun with Large Models
Fun with Large Models
Oct 4, 2025 · Artificial Intelligence

Which Large‑Model AI Agent Framework Is Best? A Guide to 12 Options

This article categorizes and compares twelve popular large‑model AI Agent development frameworks—low‑code platforms, basic programming paradigms, advanced code libraries, and multi‑agent systems—detailing their core features, typical use cases, and trade‑offs to help developers choose the most suitable solution.

AI AgentLangChainMulti-agent
0 likes · 12 min read
Which Large‑Model AI Agent Framework Is Best? A Guide to 12 Options
DataFunSummit
DataFunSummit
Sep 27, 2025 · Artificial Intelligence

Bridging the Gap: Enforcing Discipline in AI Agents for Reliable Performance

This article examines the challenges of building production‑grade AI agents—such as context drift, knowledge leakage, and fragile state handling—and presents a disciplined architecture that combines code locks, attention anchors, and Redis‑backed state management to turn a prototype travel planner into a robust, industrial‑strength system.

AI AgentLLMcode architecture
0 likes · 14 min read
Bridging the Gap: Enforcing Discipline in AI Agents for Reliable Performance
Fighter's World
Fighter's World
Sep 24, 2025 · Artificial Intelligence

Aivis: Pioneering Autonomous Agents for Alibaba Cloud’s Next‑Gen Intelligent Services

The talk outlines how Alibaba Cloud’s Aivis autonomous service agent tackles the “impossible triangle” of ultra‑high experience, low cost, and complex services by evolving from tool‑based chatbots to teammate‑level agents, detailing a four‑layer architecture, domain‑model training, and actionable steps for enterprise AI service transformation.

AI AgentAgent ArchitectureCloud Service
0 likes · 14 min read
Aivis: Pioneering Autonomous Agents for Alibaba Cloud’s Next‑Gen Intelligent Services
Fun with Large Models
Fun with Large Models
Sep 16, 2025 · Artificial Intelligence

LangGraph Data Analysis Assistant Agent: Step‑by‑Step Project Guide (Part 5)

This tutorial walks you through building a LangGraph-powered data analysis assistant that converts natural language into SQL, executes queries via NL2SQL and NL2Python tools, visualizes results with a Python interpreter, and deploys the agent using LangGraph CLI and Agent Chat UI for end‑to‑end interaction.

AI AgentAgent Chat UIData Analysis
0 likes · 21 min read
LangGraph Data Analysis Assistant Agent: Step‑by‑Step Project Guide (Part 5)
Data Thinking Notes
Data Thinking Notes
Sep 14, 2025 · Artificial Intelligence

How to Build a Robust Tool Integration Module for AI Agents

This article explains the architecture, core components, and step‑by‑step implementation of a tool usage module that enables AI agents to standardize, select, execute, and transform external tools, illustrated with a sales data analysis case and detailed code snippets.

AI AgentLLMmetadata management
0 likes · 9 min read
How to Build a Robust Tool Integration Module for AI Agents
Fighter's World
Fighter's World
Sep 12, 2025 · Artificial Intelligence

Why Are Production‑Grade AI Agents So Hard to Build?

The article analyses why production‑grade AI agents remain unreliable, pinpointing the scarcity of high‑quality task‑action data, the limits of static benchmarks, and the need for massive data‑generation engines, simulation sandboxes, sophisticated RL reward design, and efficient context engineering.

AI AgentContext EngineeringLarge Action Model
0 likes · 21 min read
Why Are Production‑Grade AI Agents So Hard to Build?
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Sep 11, 2025 · Artificial Intelligence

Beyond Tools: How AI Agents Ignite the Era of Super‑Individuals

The article examines the shift from AI as a passive tool to autonomous AI Agents that decompose objectives, execute tasks, and reshape industries, illustrated by Klarna's customer‑service agent, the AI software engineer Devin, CrewAI‑driven SaaS development, and cross‑application automation with Multi‑On.

AI AgentAgent SwarmCustomer Service
0 likes · 10 min read
Beyond Tools: How AI Agents Ignite the Era of Super‑Individuals
xkx's Tech General Store
xkx's Tech General Store
Sep 10, 2025 · Artificial Intelligence

Exploring WebDancer: Alibaba’s WebAgent that Solves Complex Queries Automatically

This article walks through installing Alibaba's WebDancer agent, explains its SFT‑plus‑RL training pipeline—including data construction, trajectory sampling, supervised fine‑tuning, and reinforcement learning—compares it with the earlier WebWalker, and demonstrates its multi‑step reasoning on a real‑world query.

AI AgentAlibabaLLM Agents
0 likes · 10 min read
Exploring WebDancer: Alibaba’s WebAgent that Solves Complex Queries Automatically
Architect's Journey
Architect's Journey
Sep 9, 2025 · Artificial Intelligence

Build an AI Agent Mini‑Game in 30 Minutes

This step‑by‑step tutorial shows how to create a simple AI‑driven mini‑game on the Coze platform in half an hour, covering account setup, agent creation, prompt design, debugging, publishing, advanced prompt techniques, and common pitfalls.

AI AgentAI developmentCoze
0 likes · 11 min read
Build an AI Agent Mini‑Game in 30 Minutes
Data Thinking Notes
Data Thinking Notes
Sep 7, 2025 · Artificial Intelligence

Unlocking AI Agent Memory: How LLMs Use Retrieval and Planning to Stay Smart

This article explains the core architecture of AI agents powered by large language models, detailing how planning, short‑term and long‑term memory, and tool integration work together through vector databases, retrieval‑augmented generation, and summarization to enable stateful, intelligent interactions across multiple sessions.

AI AgentLLMMemory
0 likes · 10 min read
Unlocking AI Agent Memory: How LLMs Use Retrieval and Planning to Stay Smart
AI Large Model Application Practice
AI Large Model Application Practice
Sep 4, 2025 · Artificial Intelligence

Can Message Queues Power the Next Generation of AI Agents? A Deep Dive into Pulsar

This article examines how traditional high‑performance message queues and event‑driven architectures can be revitalized for AI agents, tracing the evolution of messaging middleware, highlighting key integration points, and showcasing Apache Pulsar's cloud‑native features that enable reliable, scalable, and intelligent multi‑agent systems.

AI AgentApache PulsarCloud Native
0 likes · 16 min read
Can Message Queues Power the Next Generation of AI Agents? A Deep Dive into Pulsar
IT Services Circle
IT Services Circle
Sep 1, 2025 · Artificial Intelligence

Unlocking Gemini CLI: Extending Google’s AI Agent for Any LLM

This article introduces the rapidly popular Gemini CLI, compares it with Claude Code, explains its core features, demonstrates coding, multimodal, and MCP use cases, and details the author’s Easy LLM CLI fork that enables custom model integration, flexible configuration, and direct code embedding for developers.

AI AgentGemini CLILLM Integration
0 likes · 15 min read
Unlocking Gemini CLI: Extending Google’s AI Agent for Any LLM
DaTaobao Tech
DaTaobao Tech
Sep 1, 2025 · Artificial Intelligence

Boost Business Automation with AI Agents and MCP: Real-World Insights

This article explores how integrating AI agents with the Model Context Protocol (MCP) and tools like Playwright can automate reporting and batch task creation, detailing practical implementations, challenges, performance comparisons with traditional solutions, and best practices for combining AI and engineering to achieve efficient, reliable business workflows.

AI AgentMCPautomation
0 likes · 19 min read
Boost Business Automation with AI Agents and MCP: Real-World Insights
Smart Sea Tide
Smart Sea Tide
Sep 1, 2025 · Artificial Intelligence

All-in-One AI Agent Development, Optimization, and Management with Coze Loop & Studio

This article introduces Byte's open‑source Coze Loop and Coze Studio platforms, detailing their Apache‑2.0‑licensed architectures, full lifecycle management for AI agents, core features such as prompt engineering, evaluation, observation, and a low‑code visual development environment built with Golang, React, and TypeScript.

AI AgentCoze LoopCoze Studio
0 likes · 6 min read
All-in-One AI Agent Development, Optimization, and Management with Coze Loop & Studio
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 28, 2025 · Artificial Intelligence

How AI Agents and MCP Revolutionize Smart Reporting and Batch Task Automation

This article explores the practical integration of AI agents with Model Context Protocol (MCP) to build a smart reporting assistant and automate batch task creation, detailing the technical workflow, tool‑calling capabilities, implementation steps, challenges faced, and the benefits of combining agents with traditional engineering systems.

AI AgentMCPTool Calling
0 likes · 18 min read
How AI Agents and MCP Revolutionize Smart Reporting and Batch Task Automation
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 27, 2025 · Artificial Intelligence

Turning AI Hallucinations into Reliable Helm Charts with Structured Agents

After weeks of trial‑and‑error, the author shares how a fully autonomous AI agent struggled to generate Helm charts, and how adopting a structured, multi‑stage workflow—combining clear role definitions, ReAct/Plan‑and‑Execute patterns, prompt engineering, and LangChain/LangGraph orchestration—produced a reproducible, lint‑validated Helm package for Kubernetes.

AI AgentHelm chartKubernetes
0 likes · 29 min read
Turning AI Hallucinations into Reliable Helm Charts with Structured Agents
Data Thinking Notes
Data Thinking Notes
Aug 26, 2025 · Artificial Intelligence

From Prompt to Context: How AI Agents Evolve into Proactive Intelligence

This article explores the rapid growth of large language models and explains how AI agents transform passive, single‑turn responses into proactive, continuous intelligence by leveraging a core “Prompt→Context→Action” loop, detailing their architecture, key components, challenges, and future directions.

AI AgentContext ManagementLLM Architecture
0 likes · 20 min read
From Prompt to Context: How AI Agents Evolve into Proactive Intelligence
Data Thinking Notes
Data Thinking Notes
Aug 17, 2025 · Artificial Intelligence

Unlocking AI Agents: From Basics to Real-World Development

This article provides a comprehensive overview of AI Agents, covering their fundamental concepts, core features, technical evolution, work cycle, architectural modules, key technologies such as prompt engineering and RAG, practical development steps, a data‑analysis agent case study, and typical industry applications.

AI AgentAgent ArchitectureArtificial Intelligence
0 likes · 13 min read
Unlocking AI Agents: From Basics to Real-World Development
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 15, 2025 · Artificial Intelligence

Mastering AI Agents: Prompt Engineering, Workflows, and RAG Strategies

This article systematically explains how to build reliable, high‑performance AI agents by focusing on the core components—LLM, prompts, workflows, RAG, and tools—while covering prompt engineering techniques, DSL‑based workflow design, vector‑database knowledge bases, security against prompt injection, and practical project planning.

AI AgentLLMRAG
0 likes · 15 min read
Mastering AI Agents: Prompt Engineering, Workflows, and RAG Strategies
AI Info Trend
AI Info Trend
Aug 11, 2025 · Industry Insights

AI Agents Set to Surge to $50B in 2025 and $470B by 2030 – What the Data Reveals

The 2025 Global AI Agent Industry Insight Report forecasts a market worth $5 billion in 2025 and $47.1 billion by 2030, outlines the technology definition, analyzes China’s pivotal role, compares overseas and domestic players, showcases benchmark cases, and highlights future demand splits and technical bottlenecks.

AI AgentChinaUnited States
0 likes · 7 min read
AI Agents Set to Surge to $50B in 2025 and $470B by 2030 – What the Data Reveals
Fun with Large Models
Fun with Large Models
Aug 2, 2025 · Artificial Intelligence

Quickly Build a LangChain Agent Using the Agent API (Part 6)

This tutorial walks through using LangChain's Agent API to create AI agents with tool calling, demonstrating a weather‑assistant example, parallel and sequential tool calls, and integration of the Tavily search tool, all with concise Python code and step‑by‑step explanations.

AI AgentAgent APILangChain
0 likes · 13 min read
Quickly Build a LangChain Agent Using the Agent API (Part 6)
Data Party THU
Data Party THU
Jul 31, 2025 · Industry Insights

How mini‑SWE‑agent Solves 65% of SWE‑bench Bugs with Only 100 Lines of Code

The mini‑SWE‑agent, a lightweight open‑source software‑engineering AI built by the original SWE‑bench team, achieves about 65% bug‑fix success on the SWE‑bench benchmark using roughly 100 lines of Python, thanks to its minimal dependencies, shell‑based execution, linear history, and support for various container environments, offering a fast, extensible alternative to the full‑featured SWE‑agent.

AI AgentLLMSWE-bench
0 likes · 8 min read
How mini‑SWE‑agent Solves 65% of SWE‑bench Bugs with Only 100 Lines of Code
JD Tech Talk
JD Tech Talk
Jul 29, 2025 · Artificial Intelligence

Unlock JD’s Open‑Source JoyAgent: Build, Deploy, and Customize AI Agents

This article introduces JD's open‑source JoyAgent‑JDGenie, a lightweight multi‑agent framework, explains its architecture and performance, and provides step‑by‑step instructions for local Docker deployment, configuration, and usage for creating AI‑driven applications.

AI AgentDockerJava
0 likes · 8 min read
Unlock JD’s Open‑Source JoyAgent: Build, Deploy, and Customize AI Agents
JD Tech Talk
JD Tech Talk
Jul 28, 2025 · Artificial Intelligence

8 Key Features of JD.com’s Open‑Source Genie AI Agent

JD.com’s Genie open‑source AI agent introduces eight powerful capabilities—including plug‑in multi‑agent support, iterative planning, cross‑task context sharing, digital employee enhancements, deep model‑plus‑search, CodeTool for code lifecycle, refined system prompts, and a configurable MCP server—designed to boost intelligent workflow efficiency.

AI AgentArtificial Intelligencecode management
0 likes · 1 min read
8 Key Features of JD.com’s Open‑Source Genie AI Agent
Model Perspective
Model Perspective
Jul 27, 2025 · Artificial Intelligence

Build a Practical AI Agent from Scratch with Coze’s Low‑Code Platform

This guide walks you through creating a functional AI agent using the Coze low‑code platform, covering account setup, goal definition, visual workflow design with large‑model and image‑generation nodes, variable configuration, testing, and publishing the agent to multiple channels.

AI AgentCozelarge language model
0 likes · 10 min read
Build a Practical AI Agent from Scratch with Coze’s Low‑Code Platform
Architecture and Beyond
Architecture and Beyond
Jul 27, 2025 · Artificial Intelligence

What Makes an AI Agent Tick? From Expert Systems to Modern Architectures

This article traces the evolution of AI agents from early expert systems to today’s multimodal, memory‑rich agents, explains their perception, reasoning, memory and action modules, discusses model selection, prompt engineering, RAG techniques, and highlights current limitations such as hallucinations, reliability, cost, and security.

AI AgentFunction CallingRAG
0 likes · 28 min read
What Makes an AI Agent Tick? From Expert Systems to Modern Architectures
Ubiquitous Tech
Ubiquitous Tech
Jul 26, 2025 · Artificial Intelligence

How to Deploy ByteDance’s Open‑Source Coze AI Agent Platform for Personal and Enterprise Use

This article walks through ByteDance’s open‑source Coze AI Agent platform—its components, Apache‑2.0 license, Golang backend and React/TypeScript frontend architecture, Docker‑Compose deployment steps, model configuration, container startup, UI access, and the practical benefits it brings to developers and enterprises.

AI AgentCozeDocker
0 likes · 21 min read
How to Deploy ByteDance’s Open‑Source Coze AI Agent Platform for Personal and Enterprise Use
Fun with Large Models
Fun with Large Models
Jul 23, 2025 · Artificial Intelligence

Why ChatGPT Agent Sets the Benchmark for Future Large‑Model AI Agents

The article analyzes OpenAI's ChatGPT Agent—its launch, performance metrics, all‑in‑one tool integration, real‑world use cases, pricing tiers, core capabilities, and how it surpasses competing agents like Manus, highlighting its significance for the next generation of AI agents.

AI AgentChatGPT Agentpricing
0 likes · 11 min read
Why ChatGPT Agent Sets the Benchmark for Future Large‑Model AI Agents
Alibaba Cloud Observability
Alibaba Cloud Observability
Jul 21, 2025 · Artificial Intelligence

How AI Agent Architecture Is Transforming Software Engineering Practices

The article explores the evolution of AI Agent technical architecture, its four core capability dimensions, the pivotal role of observability and security, and introduces LoongSuite as a high‑performance, low‑cost observability suite that supports multi‑language agents and future cloud‑native AI developments.

AI AgentCloud NativeLoongSuite
0 likes · 18 min read
How AI Agent Architecture Is Transforming Software Engineering Practices
Alibaba Cloud Native
Alibaba Cloud Native
Jul 18, 2025 · Artificial Intelligence

How AI Agent Architecture Is Evolving to Redefine Software Engineering

The article outlines the rapid evolution of AI Agent technology stacks, detailing multi‑dimensional development across perception, decision, memory, and tool integration, while highlighting cloud‑native deployment models, observability challenges, and the open‑source LoongSuite suite that provides high‑performance, low‑cost monitoring for AI workloads.

AI AgentLoongSuiteOpenTelemetry
0 likes · 19 min read
How AI Agent Architecture Is Evolving to Redefine Software Engineering
Alimama Tech
Alimama Tech
Jul 17, 2025 · Artificial Intelligence

How to Build a High‑Scoring AI Werewolf Agent: Strategies, Prompt Engineering, and Code

This article details the author's experience designing a top‑performing AI Werewolf agent for the Taotian Group's AI Werewolf Challenge, covering game rules, core challenges, prompt engineering, caching, concurrent requests, model selection, reinforcement‑learning‑style tuning, and tactical strategies for each role, with code examples.

AI AgentLLMWerewolf
0 likes · 25 min read
How to Build a High‑Scoring AI Werewolf Agent: Strategies, Prompt Engineering, and Code
Architecture and Beyond
Architecture and Beyond
Jul 12, 2025 · Artificial Intelligence

What Exactly Is an AI Agent? History, Architecture, and Future Challenges

This article traces the evolution of AI agents from early expert systems to modern large‑language‑model‑driven assistants, explains their core perception, reasoning, memory, and action modules, compares thinking and execution models, and discusses current limitations such as hallucinations, reliability, cost, and security.

AI AgentRAGlarge language model
0 likes · 20 min read
What Exactly Is an AI Agent? History, Architecture, and Future Challenges
Tech Freedom Circle
Tech Freedom Circle
Jul 11, 2025 · Artificial Intelligence

The Three Core Protocols of AI Agents 2.0: MCP, A2A, and AG‑UI

This article explains the three foundational protocols—MCP for tool access, A2A for inter‑agent communication, and AG‑UI for Agent‑UI interaction—detailing their origins, technical roles, example implementations, and how they together form the communication backbone of modern AI applications.

A2AAG-UIAI Agent
0 likes · 18 min read
The Three Core Protocols of AI Agents 2.0: MCP, A2A, and AG‑UI
Go Programming World
Go Programming World
Jul 7, 2025 · Artificial Intelligence

Why My AI Agent Stops Responding When Multiple MCP Tools Are Selected – Debugging the Root Cause

This article documents a step‑by‑step investigation of an AI Agent that fails to return results when it selects multiple MCP services, detailing log analysis, network packet capture, MCP protocol behavior, the discovery of tool‑name conflicts, and both temporary and permanent remediation strategies.

AI AgentKubernetesMCP
0 likes · 20 min read
Why My AI Agent Stops Responding When Multiple MCP Tools Are Selected – Debugging the Root Cause
DataFunSummit
DataFunSummit
Jul 2, 2025 · Artificial Intelligence

How End-to-End Reinforcement Learning Powers the Kimi Researcher AI Agent

The article explains how Kimi Researcher, an AI Agent built with end‑to‑end reinforcement learning, achieves state‑of‑the‑art performance on the Humanity’s Last Exam benchmark, scales via data‑driven training, and supports diverse research and analysis scenarios.

AI AgentKimi ResearcherResearch Automation
0 likes · 9 min read
How End-to-End Reinforcement Learning Powers the Kimi Researcher AI Agent
Baobao Algorithm Notes
Baobao Algorithm Notes
Jun 30, 2025 · Artificial Intelligence

How End‑to‑End Reinforcement Learning Powers the Kimi‑Researcher AI Agent

The article examines Kimi‑Researcher, an AI research agent built with end‑to‑end reinforcement learning, detailing its technical motivations, advantages over traditional workflow‑based and SFT methods, performance breakthroughs on benchmark exams, and diverse real‑world use cases ranging from literature reviews to legal analysis.

AI AgentEnd-to-End RLKimi Researcher
0 likes · 10 min read
How End‑to‑End Reinforcement Learning Powers the Kimi‑Researcher AI Agent
Instant Consumer Technology Team
Instant Consumer Technology Team
Jun 23, 2025 · Artificial Intelligence

What Are AI Agents? Architecture, Applications, and Future Trends

AI Agents, autonomous intelligent programs that perceive, reason, and act, are reshaping industries from healthcare to autonomous driving; this article explains their core components, differences from large language models, planning techniques, memory mechanisms, tool use, real‑world applications, current challenges, and future directions.

AI AgentApplicationsMemory
0 likes · 35 min read
What Are AI Agents? Architecture, Applications, and Future Trends
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 AgentArchitectureLLM
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 AgentContext Managementautomation
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 AgentProduct Designengineering
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 AgentLangChainVertex AI
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 AgentFunction CallMulti-agent
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