Getting Started with Ollama and CrewAI

#ollama #crewai #ai #machinelearning

A Beginner-Friendly Guide to Building AI Agents on Your Own Machine

Have you ever wished for an intelligent assistant to help you plan trips, write blog posts, or do research? With tools like Ollama and CrewAI, you can now build your own AI-powered team on your laptop.

And the best part?
You don’t need to be an AI expert to get started.

In this guide, I’ll break things down in plain English and walk you through:

1) What Ollama is
2) What CrewAI does
3) How to set them up together
4) How to build your intelligent agents

What is Ollama?

Ollama is a simple tool that lets you run large language models (LLMs) — like ChatGPT-style models — locally on your machine.
No internet, no cloud, and no privacy concerns.

Simple installation and setup
Access to various open-source models
Local execution (no internet required after setup)
Command-line interface for interaction

🧠 Think of Ollama as your own personal AI lab on your laptop.

You can run models like:

LLaMA 3
Mistral
Code LLaMA

And more...

All with just one command.

👥 What is CrewAI?

While Ollama gives you the brain, CrewAI gives you the hands.

CrewAI helps you create a team of AI agents that can collaborate, communicate, and accomplish tasks for you.

Multi-agent collaboration
Role specialization for different agents
Task delegation and coordination
Integration with various LLMs (including those run via Ollama)

Each agent has:

A role
A goal
And a task

Together, they work as a crew to get things done.

We need to use them together: Ollama enables you to run AI models locally on your device, ensuring offline access, enhanced security, and privacy. Meanwhile, CrewAI organizes AI agents into collaborative teams, allowing them to handle complex, multi-step workflows efficiently.

Step 1. Install Ollama
First, let's install Ollama on your system:

For macOS:

bash
brew install ollama

For Linux:

bash
curl -fsSL https://ollama.com/install.sh | sh

For Windows (via Winget):

bash
winget install Ollama.Ollama

Step 2) Run an AI Model

ollama run llama2

This downloads and runs the model right on your machine.

step 3) Install CrewAI
First, make sure Python is installed. Then open your terminal and run:

pip install crewai

Step 4: Your First Ollama Interaction
Let's test Ollama with a simple query:

ollama run llama2 "Tell me a joke about AI"

You should see the model generate a response directly in your terminal!

Step 5: Creating Your First CrewAI Project
Now let's build a simple CrewAI setup that uses Ollama as its LLM provider.

Create a new Python file, my_first_crew.py:

from crewai import Agent, Task, Crew
from langchain.llms import Ollama

# Set up Ollama LLM
ollama_llm = Ollama(model="llama2")

# Define your agents
researcher = Agent(
    role='Senior Research Analyst',
    goal='Discover new insights',
    backstory="""You're an expert at finding interesting information""",
    llm=ollama_llm,
    verbose=True
)

writer = Agent(
    role='Content Writer',
    goal='Write engaging content',
    backstory="""You're a talented writer who simplifies complex information""",
    llm=ollama_llm,
    verbose=True
)

# Create tasks
research_task = Task(
    description='Find interesting facts about AI in healthcare',
    agent=researcher
)

write_task = Task(
    description='Write a short blog post about AI in healthcare',
    agent=writer
)

# Form the crew
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task],
    verbose=2
)

# Execute the crew's tasks
result = crew.kickoff()

print("Here's the result:")
print(result)

python my_first_crew.py

Understanding the Code

Agents: Specialized AI workers with specific roles
Tasks: Individual assignments for each agent
Crew: The team that coordinates the agents
Ollama Integration: We're using the locally-run LLM via Ollama

Troubleshooting Tips

If Ollama isn't working, make sure the service is running (ollama serve)
For CrewAI errors, check your Python version (3.7+ required)
Start with small models if you have limited RAM

Conclusion:
https://github.com/rajeevchandra/ollama-crewai-starter
You've now taken your first steps with Ollama and CrewAI! These tools open up exciting possibilities for local AI development and multi-agent systems. As you become more comfortable, you can explore more advanced features and build increasingly sophisticated AI applications.