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Module 02

Agent Engineering

Build real agents: the ReAct loop, tool use, memory systems, and the architectural primitives that turn an LLM into an autonomous actor.

4 lessons210 min total
01
intermediate45 min

What Is an AI Agent ; The Loop, Memory, and Tools

The architectural reality of AI agents: the ReAct loop, tool use, memory layers, and why 'agent' means something specific and important.

agentreacttoolsmemoryloop
02
intermediate60 min

Building Your First Agent with the Claude API

Hands-on: wire up a ReAct agent from scratch using the Anthropic SDK. Tool definitions, the message loop, state handling, error recovery.

claudeanthropic-sdkpythonhands-ontools
03
intermediate50 min

Memory Systems ; Short, Long, and Episodic

How agents remember things: context window tricks, external key-value stores, vector databases, and the architectural decisions that determine what your agent knows.

memoryragvector-dbchromadbembeddings
04
intermediate55 min

Tool Use and Function Calling ; The Agent's Hands

How tools extend agent capabilities: schema design, parameter validation, dangerous tools, and building tool suites for offensive workflows.

toolsfunction-callingvalidationsecurity
ΛKrypteia Sec

AI hackbot research and development. Building offensive AI tools for the security community.

info@krypteiasec.com

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