#AI Agent
376 related articles
Deep Dives·2 min
MCP Protocol Architecture Deep Dive: Host-Client-Server Three-Layer Design and Three Core Primitives
Deep dive into MCP's Host-Client-Server three-layer architecture and its Resources, Tools, Prompts primitives. Learn how it transforms AI tool integration from M×N to M+N.
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Deep Dives·1 min
Ralph Loop: The New AI Programming Paradigm That Beats Multi-Agent Systems Through Iterative Trial and Error
Ralph Loop is a 2025 AI programming paradigm: a memoryless AI Agent repeatedly reads the same Prompt, accumulates experience via file systems, beating multi-agent architectures through iterative loops.
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Tutorials·1 min
AI Crop Pest & Disease Early Warning System: A Detailed RAG + Agent Implementation Guide for Graduation Projects
A detailed guide to building an AI crop pest early warning system for graduation projects, covering image recognition, RAG knowledge retrieval, Agent-based alerting, data visualization, and weather monitoring.
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Tutorials·1 min
AI Agent Interview Focus Comparison: ByteDance vs. Tencent vs. Alibaba — Differences in Approach & Preparation Strategies
Deep comparison of AI Agent interview focuses at ByteDance, Tencent, and Alibaba: ByteDance drills ReAct implementation & RLHF details, Tencent emphasizes MCP protocols & memory systems, Alibaba focuses on multi-Agent architecture & business deployment.
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Tutorials·2 min
Harness Engineering Explained: A Guide to Building a Four-Step Closed-Loop AI Agent Work System
A deep dive into the Harness Engineering four-step closed-loop principle (Goal, Action, Verification, Memory), clarifying its relationship with Prompt Engineering, Context Engineering, and MCP.
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Tutorials·2 min
Beginner's Guide to Claude Code and Codex: Complete API Configuration with CC Switch
Detailed guide to Claude Code, Codex, and Cursor AI programming tools with step-by-step CC Switch setup for unified third-party API management at lower cost.
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Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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Tutorials·2 min
Codex Computer Use Tutorial: Let AI Automatically Control Your Computer to Complete Tasks
A detailed guide to OpenAI Codex's new Computer Use feature: setup, configuration, and practical demos including AI-controlled app launching and commanding Cursor to create projects, plus privacy tips.
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Tutorials·3 min
Agent Tank Guide: AI Writes Code for Tank Battles — A Ranking Guide from Bronze to King
Agent Tank is a cyber cricket fighting game where AI Agents write tank combat strategies. Learn game mechanics, ranking tips, and human-AI review workflows to climb from Bronze to King using Claude Code or Codex.
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Tutorials·4 min
AI Agent Memory Architecture Design: Four-Layer Partitioning + Bitemporal Modeling Practical Guide
A deep dive into production-grade AI Agent memory architecture covering four-layer partitioning, bitemporal modeling, and skill extraction to eliminate hallucinations and historical amnesia.
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Deep Dives·3 min
What Are LLMs, Skills, Agents, and OpenClaude? A Complete Guide to Core AI Concepts
A plain-English guide to LLMs, Skills, AI Agents, and OpenClaude — clarifying how AI evolved from "can talk" to "can act" to "can act autonomously," with a comparison table.
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Tutorials·3 min
Agency Agents: 144 AI Role Templates with One-Click Installation for Cursor/Claude Code
Agency Agents provides 144 structured AI Agent role templates across 12 domains, with one-click installation for Claude Code, Cursor, Windsurf and more.
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Tutorials·2 min
Claude Code Investment Research Tool: A Detailed Guide to AStockData Skill's Six Free Data Modules for China A-Shares
Detailed guide to AStockData, a free Claude Code Skill covering A-share K-lines, research reports, Dragon Tiger Lists, news, financials & announcements — no API Key required.
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Tutorials·2 min
Streamlining AI Agents from 10 to 5: How the Single Responsibility Principle Doubled Efficiency — A Practical Retrospective
Real-world guide to streamlining AI Agents from 10 to 5 using the Single Responsibility Principle, doubling efficiency with focused agents for memory, design, copy, video, and publishing.
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Product Reviews·2 min
OpenAI Codex Launches on Mobile: Hands-On Testing Remote Programming Control from Your Phone
OpenAI Codex launches on ChatGPT mobile with QR-code pairing for remote desktop programming. Hands-on testing covers code editing, UI testing, browser automation, and cross-Agent orchestration with lower latency than Claude's solution.
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Tutorials·1 min
LangGraph 1.0.5 Tutorial: Master AI Agent Orchestration & Multi-Agent Systems in Six Lessons
Complete guide to LangGraph 1.0.5 tutorial series covering durable execution, memory management, Human in the Loop, streaming, time travel, and multi-agent collaboration.
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Deep Dives·2 min
LangChain Core Architecture Explained: A Practical Guide to Its Five Key Modules
Deep dive into LangChain's five core modules: Model I/O, Data Connection & Retrieval, Chains, Agents, and Memory. Learn RAG workflows, Agent decision-making, and practical AI app development.
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Product Reviews·3 min
Deep Dive into AionUI: What Makes This 24.6k Stars AI Agent Workbench So Powerful
In-depth analysis of how open-source AionUI evolves from chatbox to AI Agent workbench, covering built-in Agents, CLI Agent integration, file deliverables, remote access, and multi-Agent collaboration.
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Expert Opinions·2 min
AI Works Around the Clock — So Now Humans Are on Call 24/7?
When AI Agents work 24/7, humans aren't freed — they're on permanent standby. From Codex to mobile coding, work boundaries are vanishing. Is this digital servitude?
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Tutorials·2 min
Engineering AI Agents for Production: Four Key Challenges and a 12-Week Implementation Roadmap
90% of AI Agent projects stall at the demo stage due to insufficient engineering. This article breaks down four core challenges and provides a 12-week actionable roadmap to production.
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