Master AI Agents.
Learn how agents reason, use tools, remember, collaborate, communicate, and operate in production — from first principles to real systems.
From zero to agentic systems.
A guided path for readers who want to understand what an AI agent is before moving into architecture, protocols, production, and advanced patterns.
Learn the whole field, not isolated buzzwords.
AIRundown organizes AI-agent knowledge around durable domains so protocols and frameworks can change without breaking the learning structure.
Learn
Foundations, reasoning, planning, memory, context, tools, actions, and multi-agent systems.
Explore fundamentals → 02Build
Tutorials, agent patterns, RAG, integrations, coding agents, and practical implementation.
Build agents → 03Architect
Architectures, MCP, A2A, interoperability, context systems, workflows, and orchestration.
Design systems → 04Operate
Evaluation, observability, reliability, security, deployment, cost, and performance.
Go to production →Understand the tools without being trapped by them.
Explore frameworks, SDKs, models, agent tools, and comparisons while keeping the underlying concepts clear.
Frameworks & SDKs
LangGraph, CrewAI, AutoGen, PydanticAI, OpenAI Agents SDK, and future frameworks.
Agent Tools
Builders, observability platforms, memory systems, IDE agents, and production tooling.
Comparisons
Clear decision guides for protocols, frameworks, architectures, models, and implementation choices.
New knowledge, connected to the system.
Every article should deepen the knowledge graph — not become another disconnected post.
New to AI agents?
Begin with the foundations, follow the guided sequence, and move from understanding agents to building and operating real systems.
Start Here →