Agentic AI Systems 🐔

This repository demystifies agentic AI systems through a "chicken" metaphor, simplifying AI orchestration for developers and researchers. It provides clear explanations of workflows, agents, and their implementation, enhanced with Mermaid diagrams, enabling users to quickly grasp and apply complex AI orchestration patterns.

How It Works

The project distinguishes between two primary paradigms: "Workflows," where code dictates a predefined execution path, and "Autonomous Agents," where an LLM dynamically controls the flow. Workflows encompass patterns like Baseline, Prompt Chaining, Routing, Parallelization, Orchestrator-Workers, and Evaluator-Optimizer. Autonomous Agents are designed for open-ended problem-solving. A core architectural constraint dictates that subagents cannot spawn other subagents, enforcing all delegation to route through the main agent. This structured approach facilitates understanding and implementation of varied agentic behaviors.

Quick Start & Requirements

The README does not specify direct installation commands or prerequisites. It references "Claude Code" and the "Agent SDK," suggesting integration with Anthropic's ecosystem. Relevant links include official documentation for Claude Code and the Agent SDK.

Highlighted Details

• Explains agentic AI concepts using an accessible "chicken" metaphor.
• Differentiates between code-controlled "Workflows" and LLM-controlled "Autonomous Agents."
• Details specific workflow patterns: Baseline, Chaining, Routing, Parallelization, Orchestrator-Workers, and Evaluator-Optimizer.
• Features autonomous agent patterns: "The Alternative" and "Multi-Window variant."
• Utilizes Mermaid diagrams for visualizing system architecture and decision flows.
• Outlines implementation components: Subagent, Command, Skill, and Hook.

Maintenance & Community

Contributions are welcomed via CONTRIBUTING.md. The project is positioned as an independent community resource, not officially affiliated with Anthropic. No specific community channels or notable contributors/sponsorships are listed.

Licensing & Compatibility

The project is licensed under the MIT license, permitting broad use, including commercial applications and integration into closed-source projects.

Limitations & Caveats

A key limitation is the strict rule that subagents cannot spawn other subagents; all delegation must be managed by the main agent. The project's reliance on Anthropic's "Claude Code" implies a dependency on that specific ecosystem.