Build Your First AI Agent in Python (From Scratch)
Skills:
Agent Foundations90%Tool Use & Function Calling80%Multi-Agent Systems60%Autonomous Workflows60%
๐ 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:
โข think about a goal
โข choose tools
โข execute actions
โข remember previous results
Youโll 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:
โข calculator tool
โข shell command tool
โข agent reasoning loop
โข JSON validation
โข modular architecture
This tutorial is designed for beginners who want to understand AI agents at a deeper level.
Subscribe for more content on:
AI agents
LLM architecture
agentic systems
autonomous AI
#AIagents
#AgenticAI
#LLM
#PythonAI
#Groq
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