Create AI Agents Locally with OpenAI Agents SDK & Ollama (100% FREE)
In this tutorial, I show you how to build powerful AI agents using OpenAI Agents SDK with Ollama - completely FREE, LOCAL, and PRIVATE! Learn to create single agents, multiple agent workflows, custom tools, and a user interface.
https://mer.vin/2025/03/openai-agents...
🔍 What You'll Learn:
Creating a basic agent with Llama 3.2
Building a research agent with internet search capabilities
Connecting multiple agents in a workflow
Creating a news assistant UI with Chainlit
📋 Requirements:
Ollama (https://ollama.com)
Llama 3.2 model
Python packages: openai-agents, chainlit, duckduckgo-search
💻 Installation Commands:
```
ollama pull llama3.2
pip install openai-agents chainlit
pip install duckduckgo-search
```
📝 Step-by-Step Guide:
1. Install Ollama and pull the Llama 3.2 model
2. Install required Python packages
3. Create a basic agent that generates a meal plan
4. Build a custom internet search tool using DuckDuckGo
5. Create two agents: a news agent and an editor agent
6. Connect them in a workflow
7. Build a user interface with Chainlit
📱 Project Features:
100% FREE - no API costs
Completely LOCAL - all processing on your machine
PRIVATE - no data sent to external services
CUSTOMIZABLE - add your own tools and agents
🌐 Full Project Demo:
Build a news assistant that:
Searches the internet for latest news on any topic
Processes information through an editor agent
Delivers well-formatted articles through a clean UI
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#AIAgents #OpenAI #Ollama #LocalAI #Llama3 #AITutorial #MachineLearning #Python #FreeTutorial
0:00 - OpenAI Agents SDK Introduction
1:09 - Installation Steps
1:41 - Creating a Single Agent
2:34 - Running the Basic Agent Example
2:51 - Creating Custom Tools & Multiple Agents
3:07 - Setting Up Internet Search Tool
4:09 - Creating Two AI Agents (News + Editor)
4:34 - Building the Agent Workflow
5:28 - Code Overview
6:05 - Testing the Multi-Agent System
6:39 - Building the User Interface
7:32 - Demo of the News Assistant UI
8:06 - Final Thoughts
