Multi-agent configuration for AI-assisted development

Multi-Agent Configuration for AI-Assisted Development

This repository provides a foundational multi-agent configuration system designed to enhance AI-assisted development workflows. It focuses on integrating large language models like Claude and Codex to streamline coding tasks. The system outlines core principles, extension points (hooks), reusable skills, and structured workflows, offering a robust framework for developers looking to leverage AI agents more effectively in their projects.

What it Does

The Multi-agent Configuration System acts as a central hub for defining and managing how AI agents, specifically those powered by Claude and Codex, interact and collaborate during the development process. It details the architecture for agent communication, task delegation, and the execution of predefined skills. This configuration allows for the creation of sophisticated AI-driven development pipelines, moving beyond single-agent interactions to a more coordinated approach.

Key Features

• Core Principles: Defines the fundamental concepts and design philosophies behind the multi-agent system.
• Hooks: Provides extension points within the agent workflow, enabling customization and integration with external tools or custom logic.
• Skills: A library of predefined functionalities that AI agents can execute, such as code generation, debugging, or documentation.
• Workflows: Structured sequences of agent actions and skill executions designed to achieve specific development outcomes.
• Claude & Codex Integration: Tailored for seamless integration with popular AI coding models.

Who it's For

This tool is intended for AI developers , software engineers , and researchers actively involved in building and deploying AI-assisted development tools. It is particularly useful for those seeking to implement advanced multi-agent systems for code generation, refactoring, testing, and other complex programming tasks. If you are working with LLMs like Claude or Codex and want to establish a structured, configurable, and extensible framework for AI agent collaboration, this repository offers a valuable starting point.