🔗 GitHub Code:
https://github.com/chethannj/AgenticAIFromScratch.git
In this video, we build a real AI agent from scratch using Python.
Instead of just calling an LLM, we create an agent that can:
• think about a goal
• choose tools
• execute actions
• remember previous results
You’ll learn how agentic AI systems actually work by implementing:
- an agent loop
- tool calling
- memory
- structured JSON outputs
We also integrate fast LLM inference using Groq and Llama models.
By the end, you'll understand the architecture behind modern AI agents used in tools like AutoGPT and other autonomous systems.
Project features:
• calculator tool
• shell command tool
• agent reasoning loop
• JSON validation
• modular architecture
This tutorial is designed for beginners who want to understand AI agents at a deeper level.
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Build Your First AI Agent in Python (From Scratch) | NatokHD