beads

You can manage multi-agent coordination by organizing work into a hierarchical structure of Epics, Tasks, and Subtasks. This graph-based system provides clear task decomposition and progress tracking for complex projects involving multiple agents.

Dependency tracking enforces task execution order by defining relationships between tasks. This ensures agents complete prerequisite work, such as backend APIs, before dependent tasks like frontend integration or testing begin.

File locking prevents conflicts by allowing agents to reserve specific files before modifying them. This coordination mechanism ensures no two agents can simultaneously edit the same file within a shared multi-agent project environment.

Yes, hierarchical task decomposition supports complex multi-session projects by organizing work into Epics, Tasks, and Subtasks. This structure enables session protocols and robust progress tracking across multiple agents.

You initialize the environment by defining a project team and assigning roles, such as a frontend role, to each agent. Agents then claim the next available task, executing structured claim, reserve, and done cycles for coordination.

A graph-based system for agent coordination is needed when complex projects involve multiple agents working on shared codebases. It provides essential dependency management, hierarchical task tracking, and file locking for seamless collaboration.