A practical comparison of 12 major AI Agent frameworks and Coding Agent products, covering Agent Loops, context, tools, permissions, subagents, MCP, persistence, sandboxing, and human-in-the-loop design.
Tag: AI Application Architecture
AI & Agents
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Chapter 4 — What Is an Agent Harness?
An Agent Harness is the runtime framework that transforms LLM reasoning into reliable, safe, controllable, and stateful real-world actions. This chapter explains the relationship between Model, Agent, and Harness, its core responsibilities, Harness Engineering, production challenges, and why the Harness will remain essential as AI models evolve.
AI & Agents
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Chapter 3 — The Agent Loop: The Core Execution Cycle of an AI Agent
Agent Loop is the core execution cycle of an AI Agent. This chapter explains Observe–Think–Act, ReAct, Tool-use Agents, Self-correction, error handling, context overflow, and why Agent Harness complexity matters.
System Architecture
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AI Agent Architecture and Engineering Practice Guide
Explore AI Agent architecture from LLMs and Agent Loops to Harnesses, Claude Code, Coding Agents, and production-grade Agent Platforms