AI Agent Architecture
AI Agent System Architecture Guides and Resources
Understand composable agents through micro-agent design, tool collaboration, hybrid models, and building guides.
Define task, state, and tool boundaries before deciding whether multiple agents are needed. Micro-agent guides, OpenCode, Opal, AgentKit, and small-model discussions provide design references alongside building handbooks. Compare lifecycle control, error handling, and testability rather than assuming stronger models or more agents remove the need for engineering boundaries.
Articles and supporting resources
Use the titles and summaries to find the question closest to yours. Resource entries lead to their preview and download pages.
- Article Loop Engineering Explained Through Music: Hooks and Skills Loop Engineering explained through music: understand AI agent loops, Hooks, Skills, Harness, and recurring automation through a musician’s experience.
- Article OpenClaw is just taking off, and now Hermes is here Digital Strategy Review | 2026. Just as OpenClaw begins to gain traction, Hermes arrives to disrupt the market. Is this the next big shift in AI tools?
- Article If OpenClaw's viral success leaves you cold, you're not an average user Unmoved by OpenClaw's hype? You've likely moved past the novelty phase, focusing on core workflow challenges and AI agent deployment rather than just setup.
- Article Decoding OpenCode for Agent Development: The Architecture of Next-Gen AI Coding Assistants A deep dive into OpenCode's architecture, revealing how this next-gen AI coding assistant handles complex programming tasks through session management, tool systems, and provider abstraction.
- Resource Agent System Engineering: From Design to Deployment A deep dive into AI Agent system engineering, covering architecture, reliability, monitoring, evaluation, and key engineering practices.
- Resource AI Agents Companion V2 A comprehensive reference handbook on AI Agents, covering definitions, classifications, use cases, and future trends in the Agent ecosystem.
- Resource A Practical Guide to Building AI Agents A systematic guide to building AI Agents from scratch, covering architecture design, engineering implementation, and best practices.
- Article Deep Dive Into Google Opal: The LEGO of the Agent Era? By Mr. Guo Hey, it’s Mr. Guo. I recently got my hands on Opal, an experimental tool from Google Labs. My gut reaction? It turns something like...
- Article Deep Dive into Google Opal: The LEGO of the Agent Era? A deep dive into Google Opal — how this 'LEGO' of the Agent era makes AI workflows accessible to everyone and becomes a powerful tool for indie developers to rapidly validate product ideas.
- Article A Strategic Guide to OpenAI AgentKit for Agent Builders This strategic guide deconstructs OpenAI AgentKit's core components, strategic intent, and transformative impact on AI agent construction.
- Article The AI Agent Gold Rush Truth: Why 2025 Belongs to 'Super Tools,' Not 'All-Purpose Butlers' The 2025 AI Agent victory belongs to focused 'super tools' not 'all-purpose butlers' — overcoming three limits: mathematical, economic, and engineering.
- Article AI Agent First Principles: Why Claude Code's Minimalism Beats Complex Multi-Agent Systems Explore AI Agent first principles — understand how Claude Code's minimalism outperforms complex multi-Agent systems through simple loops, LLM Search, and structured communication.
- Article Deep Dive: NVIDIA's Bold Claim That AI Agent's Future Belongs to Small Models (SLM) An in-depth analysis of NVIDIA's paper revealing why cost-efficient SLMs outperform LLMs for AI Agents, plus a practical LLM+SLM hybrid architecture roadmap.
- Article The Engineering Path for AI Agents Series (Part 3): From Islands to Federation—Agent Collaboration and Robustness Learn how to build isolated AI Agents into a collaborative intelligent federation, ensuring robust error handling and efficient external interactions.
- Article The Engineering Path for AI Agents Series (Part 2): Building the Agent's Brain and Nervous System Revealing how to build a Micro Agent's brain (decision core) and nervous system (perception/control), mastering prompts, context, and control flow for Agent engineering.
- Article The Engineering Path for AI Agents Series (Part 1): Is AI Agent Dead? Long Live 'Micro Agent'? General-purpose AI Agents easily get lost; the future belongs to focused 'Micro Agents' embedded in deterministic workflows.