This project is a framework for integrating modular instruction packages and domain-specific tools into large language model agents. It provides a system for managing agent context and extending coding assistants through a modular prompt library of persona-based instruction sets and skill trees.
The framework distinguishes itself through a persistent memory layer that tracks architectural decisions and infrastructure patterns to prevent regressions during autonomous code modifications. It includes an orchestrator for managing multi-agent swarms and autonomous coding loops that cycle through generation, validation, and refinement.
The system further covers automated software engineering capabilities, including the generation of technical scaffolds and the synchronization of skill directories via filesystem symlinks. It provides utilities for prompt migration across model versions, skill security auditing to prevent command injection, and project metric analysis for scoring technical debt.
