Lesson 3: Memory, State & Simple Agents

Advanced Architectures for Vertical AI Agents ~2 min read 60 min hands-on

Cognitive Agent Workbench

Integrated production console for agent memory, autonomous runtime, chain-of-thought reasoning, and few-shot classification. This project unifies four core engineering domains into a single deployable system with a unified dashboard, REST API, and Docker packaging.

What this project covers

This platform is the capstone integration for the Memory, State & Simple Agents track. It combines concepts and patterns from four standalone reference implementations:

Dashboard tabs

Architecture

Code

Stack: Python 3.12 Β· FastAPI Β· Pydantic v2 Β· google-genai Β· Vite Β· React 19 Β· Docker (nginx + slim images)

Prerequisites

  • Python 3.12+

  • Node.js 20+ and npm

  • Docker Desktop (optional, for containerized deployment)

Quick start

All commands run from inside the project directory β€” no parent wrapper script required.

bash

Open http://localhost:3400 Β· API docs at http://localhost:8400/docs

Docker deployment

bash

Environment configuration

Keep going with the full lesson

The rest of this lesson β€” plus its implementation guide, runnable scripts and source code β€” is included with the course or an All Access plan. Create a free account to start the free lessons in every course.

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