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Intro to AI Agents with Letta

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  • Learn to build stateful AI agents with persistent memory using Letta's MemGPT architecture—designed for developers and ML engineers.
    • Beginner Friendly.
      1 hour

ADE Interface Overview

Letta’s ADE features a user-friendly interface divided into three main panels: agent testing, configuration, and real-time state monitoring. This setup allows users to efficiently test, configure, and track the state of agents, empowering seamless workflow management.

Understanding Letta Templates

Letta’s agent templates simplify building MemGPT applications by offering pre-configured architectures embedded with memory blocks and essential tools. These templates accelerate the development process, allowing users to integrate memory functionalities effortlessly in their AI projects.

Letta’s Memory Blocks

Letta’s memory blocks allow agents to store shared information persistently. These blocks enable collaborative abilities as information can be retained and accessed over time, enhancing interactions. With pre-built tools, agents gain advanced capabilities such as web searches and code execution, further extending their functionality.

Multi-Agent Architecture

Letta’s architecture enables collaborative systems by providing shared memory and inter-agent communication tools. This allows different agents to effectively work together, sharing data and tasks seamlessly for a more efficient process.

Learn more on Codecademy

  • Learn to build stateful AI agents with persistent memory using Letta's MemGPT architecture—designed for developers and ML engineers.
    • Beginner Friendly.
      1 hour