#Multi-Agent architecture
51 related articles
·3 min
Vibe Coding in Practice: A Junior Student Uses Cursor to Build a Multi-Agent System with 51 AI Officials Based on the Three Departments and Six Ministries Framework
A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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·4 min
Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path
Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.
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Codex Systematic Tutorial: From Beginn…
·2 min
Codex Systematic Tutorial: From Beginner to Enterprise-Level AI Engineering
In-depth guide to Codex AI programming tool: environment setup, Rules system, MCP protocol integration, multi-Agent collaboration, and enterprise RAG customer service project for complete AI engineering deployment.
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LangGraph Core Explained: Its Relation…
·3 min
LangGraph Core Explained: Its Relationship with LangChain and Multi-Agent Orchestration Principles
Deep dive into LangGraph's core positioning, its relationship with LangChain, practical code comparisons of Chain vs Graph, understanding Agent essentials, and multi-agent orchestration design.
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OpenAI Confirms System Bug Caused Wron…
·1 min
OpenAI Confirms System Bug Caused Wrongful Account Suspensions; Multiple AI Tools Release Dense Updates
OpenAI confirms a system bug caused wrongful account suspensions. Codex, ChatGPT email, Gemma 4 quantized, Cursor Design Mode, and more AI tools receive major updates.
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Cursor Design Mode Launch and OpenAI C…
·3 min
Cursor Design Mode Launch and OpenAI Codex Updates: Latest Developments in AI Programming Tools
Cursor launches Design Mode for visual development, OpenAI Codex updates and Safety Lock Mode released, Anthropic doubles limits, AI agent leaderboards debut, Google DeepMind model compression breakthrough.
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Practical Experience Building an Autom…
·2 min
Practical Experience Building an Automated Development Pipeline with Multi-AI Agent Collaboration
Practical experience building a dev pipeline with multiple AI Agents: three-Agent architecture, Batch API cutting 50% token costs, 24/7 async execution, and the one-person company paradigm.
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·2 min
Google Antigravity CLI Launch: Unified AI Development Platform and Gemini CLI Migration Guide
Google launches unified AI platform Antigravity, migrating Gemini CLI users to the new Antigravity CLI rebuilt in Go with multi-agent orchestration and async workflows.
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·4 min
Five Common Misconceptions in AI Agent Development: An Essential Guide Before You Start
Debunking 5 common AI Agent development misconceptions: Agents aren't smarter ChatGPTs, complexity doesn't equal power, and RAG can't cure hallucinations. Learn the right approach to building Agents.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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·4 min
7 Core Features of Hermes Agent Explained: The Real Reasons Users Are Abandoning OpenCore
Deep dive into Hermes Agent's 7 core features including Kanban multi-tasking, /goal deep execution, and multi-agent architecture, compared with OpenCore's stability and performance issues.
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Tutorials·2 min
MCP Protocol in Practice: Building an AI Investment Analysis Agent with TradingView + Notion
A detailed guide on MCP protocol vs Skills, integrating TradingView and Notion MCPs to build an automated investment analysis Agent with market scanning, backtesting, and report generation.
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Tutorials·3 min
Advanced LangGraph in Practice: Complete Guide to Agent Optimization, Evaluation, and Cloud Deployment
Deep dive into three advanced LangGraph topics: multi-agent architecture optimization, evaluation frameworks for non-deterministic AI systems, and cloud deployment with LangGraph Platform.
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Deep Dives·3 min
Deep Dive into Pi's Swarm System: A Biology-Inspired Multi-Agent AI Programming Architecture
Deep dive into Pi's swarm system architecture (26K GitHub stars): scout, worker, and soldier ant roles, pheromone communication, adaptive concurrency control, and how multi-agent collaboration revolutionizes AI programming.
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Product Reviews·2 min
Knox Studio: A Rust-Powered All-in-One Tool for AI Video Generation and Editing
Knox Studio is a Rust-built macOS-native app combining screen recording, AI Agent assistant, and video/image/audio generation. Drive creation with natural language commands via CEO Model workflow architecture.
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Tutorials·2 min
Multi-Agent Collaborative Novel Writing: A Practical Tutorial from Template Setup to Continuous Creation
Learn how to build an AI novel writing team using Glutter's multi-Agent templates, with Editor-in-Chief, Author, and Proofreader roles collaborating to solve character consistency and plot coherence challenges in long-form fiction.
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Tutorials·3 min
Deep Dive into ByteDance's Codex Chinese Manual: A Complete Guide Across Ten Chapters
Deep analysis of ByteDance's Codex Chinese manual covering environment setup, MCP workflows, Skills encapsulation, and multi-Agent collaboration across ten chapters for developers.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Tutorials·2 min
LangChain 1.0 Complete Guide: Architecture, Core Modules, and Learning Path
Deep dive into LangChain 1.0's three-layer architecture (LangChain, LangGraph, Deep Agents), core components like Models, Tools, and Memory, plus a complete learning path from semantic search to multi-agent collaboration.
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