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 Agent
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
AI & Agents
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Chapter 1: Rethinking AI Agents
Chapter Objective: Build an accurate understanding of AI Agents, clarify the boundaries between Chatbots, Copilots, Agents, Autonomous Agents, and Coding Agents, understand why an LLM can serve as the “brain” of an Agent, and establish the fundamental definition of an Agent: Agent = LLM + Harness. This chapter provides the conceptual foundation for the entire book
Tech Notes
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Building a Python-based AI Agent with LangGraph and OpenRouter: A Hands-On Guide
In this guide, learn how to build a Python-based AI agent using LangGraph and OpenRouter. Explore how to integrate tools like weather services and PDF parsing into your agent to create real-world applications.
Tech Notes
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A Comprehensive Guide to AI Agents: Definition, Role, Examples, and Future Prospects
Learn how AI Agents work, their applications, and future potential. Discover an AI email assistant example showing the practical impact of AI Agents on productivity and communication.