Side-by-side comparison of AI agent frameworks: Agentica vs Deep Agents.

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This repo showcases an agentic AI workflow implemented in three ways: manual Python, LangChain, and AutoGen. It demonstrates step-wise planning, role-based agents, and routing logic offering a clear comparison of flexibility, control, and abstraction across frameworks.

A hands-on learning lab for exploring agentic AI using multiple frameworks. This repository serves as a curated collection of experiments, tutorials, and comparisons of popular tools for building autonomous AI agents—ranging from simple rule-based systems to LLM-powered multi-agent setups.