task-backlog

Cross-agent task tracking is managed by capturing tasks from any session, assigning contextual execution parameters, and updating task status across various agents within the journal-kernel system. It supports prioritization, status updates, and deferred execution.

Yes, you can capture a task for deferred action from any active session. For example, the 'work' agent can record a task, and the 'personal' agent can query and execute that task based on your requests using contextual assignment.

Prioritizing and updating task status across agents requires querying the existing task backlog, reordering by priority, and marking tasks as in progress, completed, or dropped while maintaining proper context management throughout the process.

No specific dependencies are required for contextual execution in agent-based task management. The system operates standalone using scripts to handle task creation, status tracking, and context assignment within the journal-kernel environment.

To start tracking tasks across agents, use the command 'Capture task for [agent]: [description]' to record a task. The system then allows you to query, prioritize, and execute tasks across different agents with proper context management.

Cross-agent task management is designed specifically for the journal-kernel system and focuses on task creation, status tracking, and execution. It is limited to collaborative task management within this AI-assisted documentation environment and does not support external platform integration.