ralph-tools

You can manage runtime tasks and memories during CLI orchestration sessions by using dedicated commands to add, list, ready, close, and query items. This automates task tracking and stores outcomes in structured files like .agent/tasks.jsonl.

Tracking work items and context memories in an automated workflow is best handled by logging them via CLI tools, which records runtime tasks and code tasks to markdown and JSONL files for auditing and decision-making support.

To add a task with dependencies and priority in a CLI workflow, run the task command with arguments for title, priority level, description, and blocked-by identifiers, enabling structured creation and lifecycle management.

Yes, you can use CLI commands to log and query context memories for task tracking. The memory interface allows you to show specific memories by ID, supporting decision-making and auditing during orchestration runs.

Ralph orchestration stores task tracking data in structured file formats, specifically saving runtime task outcomes in .agent/tasks.jsonl and code tasks in tasks/*.code-task.md files for persistent session management.

You need to manage code tasks separately from runtime tasks when working within orchestration sessions that involve both execution tracking and code-specific work items, allowing you to add, list, and close each task type independently.