Building a Multi-Agent AI System in Python and LangGraph

TL;DR

• A multi-agent system is a collection of AI agents that collaborate to complete a larger task.
• Each agent has a specific responsibility, prompt, and instructions.
• Multi-agent systems make sense when a task breaks into distinct steps or roles.
• Use multiple agents when separation of responsibilities improves the result.
• Use a single agent when the task is manageable as one coherent interaction.
• Ollama and Qwen enable local agent execution without API costs.
• LangGraph workflow frameworks simplify building complex AI systems.
• Python implementation shows the simplicity of building a multi-agent system.