https://github.com/ShaliniAnandaPhD/Neuron/tree/main/Tutorials

Building in Public series on LinkedIn: https://www.linkedin.com/posts/shalinianandaphd_neuron-as-an-agent-orchestrator-how-it-activity-7331338947626778624-TiTv?utm_source=share&utm_medium=member_desktop&rcm=ACoAAATH3cgBLB3ZhNKdiK83PyAA1KPddyaaY2I

A modular approach to building intelligent agent systems

Learn to create AI agents that can communicate, remember, and make decisions through a series of practical tutorials.

Why Neuron?

Instead of monolithic AI systems, Neuron teaches you to build modular, transparent agents where you can understand each component:

Traditional AI:           Neuron Framework:
┌─────────────┐          ┌───┐ ┌───┐ ┌───┐
│             │          │ A │─│ B │─│ C │
│  BLACK BOX  │    VS    └───┘ └───┘ └───┘
│             │           ↑     ↑     ↑
└─────────────┘         Clear Modular Testable

Core Philosophy: Build cognitive architecture you can read, run, and reason about.

Learning Path

This tutorial series teaches AI agent development through hands-on implementation, progressing from basic concepts to production systems.

🔷 Foundation (Tutorials 1-7)

Core concepts and basic agent functionality

Tutorial 1: Hello Neuron - Your First Agent Create your first agent with message processing, threading, and metrics collection 🔵 Tutorial 1: Hello Neuron - Your First Agent 🟠 Open in Colab

Tutorial 2: Memory Basics - Teaching Agents to Remember Implement working memory, cleanup routines, and intelligent recall mechanisms 🔵 Tutorial 2: Memory Basics - Teaching Agents to Remember 🟠 Open in Colab