AI Tools Kit
Token ToolsOpenClawEarnAgentsPromptsRAGTOONLearn
Architecture
Beginner

How AI Agents Work: Architecture Behind Autonomous AI

A deep dive into how AI agents are built. Covers the core components -- LLM brain, tools, memory, and planning -- plus the execution loop, tool calling, structured outputs, error handling, and real architecture patterns like ReAct and plan-and-execute.

Published February 13, 2026
10 min read

AI Tools Kit

AI Tools Kit provides free developer tools and educational content for working with AI agents and language models.

Learn more about us →

Related Articles

Architecture

Memory Systems for AI Agents: Short-term, Long-term, and RAG

Comprehensive guide to memory architectures for AI agents. Covers conversation buffers, sliding windows, summary memory, vector stores, entity memory, episodic memory, and hybrid systems with implementation examples.

Architecture

AI Agent Tools and Function Calling Explained

Deep dive into how AI agents use tools and function calling to interact with external systems. Covers OpenAI GPT-5, Claude 4.5, and Gemini 3 tool APIs with Python examples and architecture patterns.

Architecture

Planning and Reasoning in AI Agents: ReAct, CoT, and Tree of Thoughts

Deep dive into the planning and reasoning strategies that power modern AI agents. Covers Chain of Thought, ReAct, Tree of Thoughts, Plan-and-Execute, self-reflection, and extended thinking in 2026 models.

AI Tools Kit

Free tools to calculate tokens, estimate costs, and understand how AI models process your text.

Tools

Token CalculatorToken VisualizerTOON ConverterPricing Calculator

Resources

Learn & BlogPrompt LibraryRAG ToolsAbout Us

Legal

Privacy PolicyTerms of ServiceContact Us

Pricing last updated: February 2026

© 2026 AI Tools Kit. All rights reserved.

Token calculations are estimates. For precise counts, use official tokenizers.