Build the next generation of intelligent systems with Memento-Skills: Build Self-Evolving AI Agents, a cutting-edge, hands-on bootcamp designed for professionals who want to move beyond static AI and into self-improving, adaptive agent systems. This course teaches you how to design AI agents that learn from experience, continuously evolve their capabilities, and improve performance over time—without retraining underlying models.
Traditional AI systems rely on fine-tuning models, but modern architectures are shifting toward memory-driven intelligence. In this bootcamp, you’ll master the paradigm of “Memory > Models”, where agents leverage structured memory, reusable skills, and feedback loops to evolve dynamically. You will learn how to design a Memento-Skills architecture, enabling agents to observe, reason, act, and improve autonomously.
Throughout this 7-day intensive bootcamp, you will build a complete self-evolving AI agent system from scratch. Starting with a baseline stateless agent, you’ll progressively add capabilities such as structured logging, skill libraries, and intelligent routing systems. You’ll define what a “skill” is—combining prompts, workflows, and logic—and organize them into reusable, scalable components using JSON and Markdown-based architectures.
