This project is a framework for building AI coding agents that automate software development tasks using large language models. It includes a task lifecycle manager that tracks complex development goals through a persistent graph of dependent tasks and a system for multi-agent orchestration to delegate tasks to specialized sub-agents.
The framework implements a Model Context Protocol client to discover and execute tools from external servers and provides a remote development bridge to synchronize local command line interfaces with remote containers or desktop environments.
The system covers agent session management, including workspace isolation via git worktrees and append-only history logging for session recovery. It incorporates context optimization through multi-layer conversation compression and maintains security via a rule-based tool permission control engine.
