#Multi-Agent
1398 related articles
Tutorials·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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Product Reviews·2 min
OpenDesign Open-Source AI Design Engine: Dissecting the Orchestration Layer Architecture Behind 45K GitHub Stars in One Month
Deep dive into OpenDesign's three-layer orchestration architecture: agent detection, 30+ composable design skills, and 72 brand design systems. Compared with Claude Design and Figma for rapid prototyping.
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Tech Frontiers·2 min
Voice-First AI Phone Operating System: A Deep Dive into the Voice Hack Night Hackathon Grand Prize Project
Deep dive into Voice Hack Night's People's Choice winner Agentic OS: a voice-first AI phone OS using multi-Agent cross-app collaboration to replace touch with natural language conversation.
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Industry Insights·2 min
Cloud AI Agent Architecture Design: Far More Than Moving Local Agents to a Server
Building cloud AI Agents requires entirely new architectural thinking. This article analyzes three core infrastructure components—durable execution platforms, execution frameworks, and dev environment tools—to help teams avoid common pitfalls when migrating from local to cloud.
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Product Reviews·3 min
FreeBuff: A Free AI Coding Agent Integrating Top Models Like DeepSeek V4
FreeBuff is a completely free AI coding agent integrating DeepSeek V4 Pro, Kimi K2.6, MiniMax M2.7 and more. Nine sub-agents handle the full workflow from project building to code review.
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Tutorials·3 min
AI-Powered Mini Program Development: Fundamentals and Agent Configuration Practical Guide
A systematic guide covering mini program frontend-backend collaboration, WXML/WXSS/JS core languages, and AI Agent multi-agent configuration methods for effective AI-assisted development.
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Research·4 min
Deep Dive into Claude Code's Open-Source Architecture: The Design Philosophy Behind 510,000 Lines of Code
Deep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
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Tutorials·3 min
GenSpark's Six AI Agents in Action: A Complete Guide for Building a One-Person Company
A practical guide to GenSpark's six AI Agents: AI Developer for websites, AI Designer for visuals, AI Sheets for data, AI Slides for presentations, Workflow automation, and Claw mobile manager.
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Industry Insights·4 min
Deep Dive into Claude Code's Open-Source Architecture: Six Core Design Principles and Engineering Practices Revealed
Deep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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Tutorials·3 min
Hermes Orchestrating DeepSeek + MiniMax Dual-AI Collaborative Coding: A From-Scratch Project Test
Testing Hermes agent coordinating DeepSeek V4 and MiniMax 2.7 for collaborative coding: PDF export in 9 minutes, RSS service built from scratch in Nim language.
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Product Reviews·3 min
Cursor 2.0 Deep Dive: The In-House Composer Model and Five Major Feature Upgrades
Deep dive into Cursor 2.0's five new features: the in-house Composer model with major speed gains, Git Worktree multi-Agent parallel development, Agent View mode, built-in browser, and more.
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Tutorials·3 min
OpenCode Getting Started Guide: Choosing Your Installation Method & Core Features Explained
A detailed guide to OpenCode's three installation methods (Desktop, CMD, WSL) and core features including Agent architecture, custom commands, MCP integration, and Agent Skills.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Research·3 min
MementoGUI: A Multimodal Memory Management Framework for Solving Long-Horizon GUI Agent Amnesia
MementoGUI is a plugin-style multimodal memory management framework that solves GUI agent forgetting in long-horizon tasks through dual time-scale memory and four memory control operators, boosting long-task completion without fine-tuning.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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Product Reviews·3 min
Deep Comparison of AI Coding Tools: Why OpenClaw Is Not Suitable for Writing Code
Deep comparison of AI coding tools like VS Code and Google IDE, revealing why OpenClaw is just a gateway not a coding tool, with analysis on model binding issues.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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