关于
Goose Introspection provides a sophisticated framework for AI agents to maintain historical context and self-awareness across multiple sessions. By implementing a reafference-based discovery system, it allows Claude and Goose instances to query their own past interactions, track evolution across different providers or models, and perform deep analysis of session metadata. This is particularly useful for long-term projects where maintaining continuity and understanding previous decision-making patterns is critical for agent performance.
