This project functions as a Model Context Protocol server and a multi-agent orchestration framework designed to bridge large language models with external data sources and specialized engineering tools. It provides a structured environment for automating software development workflows, enabling models to interact directly with codebases and remote services to perform complex tasks.
The system distinguishes itself through a multi-agent orchestration layer that coordinates autonomous assistants to manage shared objectives and multi-step workflows. By utilizing structured task decomposition and an event-driven execution engine, it maps natural language requests to specific functional operations, allowing for the delegation of tasks between independent agents.
The platform supports a range of automated software engineering capabilities, including codebase analysis, logic refactoring, and security auditing. It integrates with external APIs to retrieve real-time data, ensuring that models have access to current information during the execution of development tasks. The software is distributed as a Python-based utility.
