#AI agent architecture
30 related articles
·3 min
Hermes Agent Hands-On Review: An AI Efficiency Revolution for Indie Game Developers
Indie game developer reviews Hermes Agent vs OpenClaude: intelligent context compression, real-time Memory, remote control via Telegram, and practical use cases in game dev, social media, and email.
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Claude Code Dynamic Workflows Explaine…
·2 min
Claude Code Dynamic Workflows Explained: A Hands-On Guide to Sub-Agent Orchestration and Reuse
Learn how Claude Code Dynamic Workflows orchestrate sub-agents for parallel tasks. Compare four collaboration modes, enable workflows, and save them for reuse.
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Can AI Agents Replace Security Enginee…
·3 min
Can AI Agents Replace Security Engineers? Insights from Coding Agents Reveal the Industry Truth
In-depth analysis of AI agents' real impact on cybersecurity. From chat tools to coding agents like Crawfish and Hermes, learn how AI is reshaping security engineering and how professionals should adapt.
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AI Agent Global Variable Pool & Memory…
·4 min
AI Agent Global Variable Pool & Memory Mechanisms: A Practical Guide to Workflow Node Data Passing
Deep dive into global variable pool design for AI Agent development, covering three memory types, variable scoping, node execution architecture, and placeholder variable replacement workflows.
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·2 min
Cosmos Unified Agents Platform: A New Paradigm for AI Agent Collaboration Through Shared Context and Memory
Deep dive into how the Cosmos Unified Agents Platform solves multi-AI Agent collaboration challenges through shared context and memory mechanisms, and its positioning in enterprise multi-Agent orchestration.
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·3 min
Codex Hooks Explained: The Automation Powerhouse That Hijacks the Entire AI Workflow
Deep dive into Codex Hooks' six lifecycle hook types, covering configuration, local vs global hooks, and practical use cases like security interception and auto-summarization for full AI workflow control.
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·2 min
Gemini Spark: Google's AI Workflow Assistant with Deep Workspace Integration
Gemini Spark is Google's AI workflow assistant powered by Gemini 3.5 Flash, deeply integrated with Google Docs, Gmail, and Workspace apps for cross-app task orchestration and office automation.
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·2 min
Gemini Spark: Google's AI Workflow Assistant with Deep Workspace Integration
Gemini Spark is Google's AI workflow assistant powered by Gemini 3.5 Flash, deeply integrated with Google Docs, Gmail, and other Workspace apps for cross-app task orchestration and boosted productivity.
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Tutorials·1 min
ESP-IDF Extension Integrates AI Agent: Complete Embedded Build, Flash, and Debug with Natural Language
ESP-IDF VS Code extension integrates Copilot Chat Agent mode, enabling natural language build, flash, and debug with AI-powered error analysis and fix suggestions.
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Tutorials·2 min
Practical Guide to Claude Code Plan Mode and Auto Accept Mode
A detailed guide to Claude Code's two core features: Plan Mode and Auto Accept mode, with a dark mode implementation demo showing efficient and safe AI-assisted development.
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Tutorials·3 min
Cursor Beginner's Guide: Four AI Modes & Hands-On Project Demo
A detailed guide to Cursor AI's download, installation, interface layout, four AI modes (Agent/Plan/Debug/Ask), and a hands-on demo showing how beginners can generate complete projects using natural language.
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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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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·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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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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Product Reviews
How a 5-Person Team Reimagined the Ent…
·3 min
How a 5-Person Team Reimagined the Entire Software Development Workflow with Codex: A Real-World Case Study
How a 5-person fleet management team uses OpenAI Codex to revolutionize efficiency: non-technical staff build products independently, orchestrator pattern for layered scheduling, and verify-first mode for code quality.
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Product Reviews·3 min
Claude Code Firmware-Level Ops in Practice: Virtual Disk Expansion & Local Agent Deployment
Hands-on testing of Claude Code for firmware-level ops: Ventoy virtual disk expansion, ext4-to-btrfs conversion, and a cost-effective local Agent deployment architecture with distributed design.
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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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Industry Insights
MCP Isn't Dead! Anthropic's Two Power …
·3 min
MCP Isn't Dead! Anthropic's Two Power Moves Cut Costs by 85% + 12 Agentic Patterns Fully Explained
Deep dive into MCP's cloud repositioning strategy, how Anthropic cuts token costs by 85% with Tool Search and code sandboxes, and 12 Agentic patterns for production-grade AI Agents.
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