handoff

Transferring conversation context between AI agents requires a structured handoff document that preserves session state, artifact references, and next-session goals. This approach ensures workflow continuation by capturing essential context while avoiding duplication of existing project artifacts.

An agent handoff document is a structured summary that transfers conversation context between AI agent sessions. You need one when a new agent session must continue development, analysis, or task execution from previous work without losing essential workflow information.

Creating a conversation summary for a new AI agent session involves converting the current session state into a structured handoff document. This document includes next-session goals, relevant references, and suggested skills while redacting sensitive information like credentials and personally identifiable information.

Yes, the handoff process redacts sensitive information such as credentials, secrets, and personally identifiable information before saving the continuation document. This safety-aware approach ensures that context transfer between agents does not expose vulnerable data.

Yes, you can continue development tasks across different AI agent sessions using context transfer. The handoff document applies to agent collaboration scenarios where a new session must continue development, analysis, or task execution from previous work while avoiding duplication of existing artifacts.