handoff

To pause an AI agent task and resume it later, you use a cross-conversation continuity system that saves the current state and user questions to a persistent JSON file. The handoff mechanism stores the task context so a new session can retrieve and continue processing exactly where the previous one left off.

Cross-conversation continuity in AI agent state management is the ability to maintain task context across separate chat sessions. It works by saving the agent's current state and pending user questions to a JSON file, allowing subsequent interactions to load the context and resume the workflow seamlessly.

To check for pending user input questions when starting a new AI conversation, run the handoff check command via CLI. This script inspects the JSON state file for any saved task context or questions left by a previous session, allowing the agent to resume the conversation flow immediately.

Yes, you can save AI task context and clear handoff states using a CLI script. The system provides command-line operations to write the current state and user questions to a JSON file for persistence, or to clear the saved handoff state once the task is successfully resumed and completed.

Yes, a JSON state file is required for AI conversation flow persistence. The handoff system relies on this file to store and retrieve the saved task context and user questions, ensuring that the pause-and-resume mechanism functions correctly across different conversation channels and sessions.

You should not use a pause-and-resume system for AI agent continuity if your conversations are strictly synchronous and never span multiple sessions or channels. It is designed for complex workflows requiring user input later, so simple single-session tasks without pending questions do not need handoff state management.