#Agent architecture
171 related articles
Product Reviews·2 min
JCode: Deep Dive into a Multi-AI Agent Collaborative Programming Framework
Deep dive into JCode, an open-source Coding Agent Harness designed for multi-Agent collaboration. Features Agent Memory, Swarm collaboration, multi-Provider access, and self-evolution with just 14ms first-frame latency and 117MB for 10 sessions.
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Expert Opinions·3 min
Burning Money on AI with Nothing to Show? Three Hidden Pitfalls a Developer Learned After Spending $140
A developer spent $140 in Tokens probing AI's limits and identified three hidden pitfalls: using cheap models, building spaghetti projects, and creating vanity products without demand validation.
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Expert Opinions·2 min
Stop Chasing AI Tools: The Right Approach Is Using AI Agents to Solve Real Problems
Learned tons of AI courses but can't apply them? This article reveals the right direction: stop chasing tools, use AI agents to solve real business problems with 10x efficiency gains.
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Industry Insights·2 min
Claude Code vs OpenClaw Architecture Comparison: Deep Analysis of Two AI Agent Technical Approaches
Deep comparison of Claude Code and OpenClaw AI Agent architectures—from tool governance pipelines and security sandboxes to memory systems and multi-agent collaboration.
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Tutorials·2 min
Two MCP Plugins Combined: Solving Claude Code's Memory Loss Problem in Large Projects
Claude Code loses memory on large projects? Learn how Cloud Context and Context Mode MCP plugins combine vector-indexed retrieval with 98% compression to solve context window overflow.
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Tutorials·3 min
From Claude Code to Codex: A Practical Guide to Diversifying Your AI Coding Tools
Learn how to integrate OpenAI Codex into your dev workflow alongside Claude Code. Covers pricing comparison, desktop setup, one-click migration, context management differences, and unique visualization features.
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Tutorials·2 min
Analysis of the Kiro, Cursor & Windsurf 3-in-1 Unlimited Refill Tool: Risks and Alternatives
Deep analysis of the Kiro, Cursor & Windsurf 3-in-1 unlimited refill tool: technical implementation, potential risks, account security concerns, and compliant AI coding alternatives.
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Tutorials·2 min
Building AI Agents on Kinoviz for Vector Animation: System Capabilities and AI Collaboration in Practice
Explore building AI Agents on Kinoviz for automated vector animation, analyzing the division between system and AI capabilities, and applications in logo animation and data visualization.
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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·3 min
Claude Code with GLM 4.6: A Guide to Deploying a Programming Agent with Chinese Domestic Models
A detailed guide on deploying Claude Code programming Agent with Zhipu GLM 4.6, covering installation, model replacement, commands, thinking modes, and SubAgent parallel development.
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Tutorials·2 min
Claude Code Reverse-Engineered & Open-Sourced: Local Deployment Guide and Domestic Model Integration
Developers successfully reverse-engineered Claude Code's full source and open-sourced it, supporting local deployment, third-party model integration, and MCP tool invocation.
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Expert Opinions·2 min
One Month After GPT5.5 Launch: People Who Use AI Are Quietly Getting Raises
One month after GPT5.5's launch, AI users are quietly getting raises while non-users remain anxious. Real usage insights, practical strategies, and why AI is your super assistant, not your competitor.
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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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Tutorials·2 min
Claude Code /goal Command Explained: Dual-Agent Architecture for Fully Autonomous AI Task Completion
Deep dive into Claude Code's /goal command: dual-agent architecture, auto-approve setup, finish line writing tips, and cost control strategies for fully autonomous AI task completion.
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Tutorials·4 min
Claude Code Agent Architecture Source Code Deep Dive: Agent Loop and Tool System in Practice
Deep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into MCP (Model Context Protocol) core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into the MCP protocol's core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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Tutorials·1 min
Getting Started with Agent Development: 3 Agent Types × 8 Core Mechanisms Fully Explained
A complete breakdown of AI Agent development: 3 agent types (autonomous, collaborative, orchestration-based), 8 core mechanisms, a 5-stage learning path, and framework selection guidance.
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Tutorials·4 min
Zion No-Code Platform: A Complete Hands-On Tutorial for Building AI Agents with Drag-and-Drop
Learn how Zion's no-code platform lets you build AI agents via drag-and-drop, with a hands-on prompt optimization assistant tutorial covering knowledge base integration, UI building, and API access.
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