We're building a multi-agent financial analysis system where different AI agents work together to provide comprehensive stock market insights. Think of it like assembling a team of specialists:

• Financial Expert Agent (gives advice and analysis)
• Data Fetcher Agent (gets current stock prices)
• News Agent (finds latest financial news)
• Coordinator Agent (orchestrates everything)

What it is: A way for AI agents to talk to each other Why we need it: Instead of one big AI doing everything, we have specialists Real-world analogy: Like having a financial advisor who can call a data analyst or news reporter when needed

What it is: A way to give AI agents specific tools/functions Why we need it: Our agents need to DO things (fetch data, scrape news) Real-world analogy: Like giving your assistant access to specific databases and websites

What it is: A framework that coordinates multiple AI agents and tools Why we need it: It makes all the agents work together smoothly Real-world analogy: Like a project manager coordinating different departments

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