Active Interleave Context Manager

소개

Active Interleave is a specialized context-augmentation skill that leverages Active Inference patterns to bridge insights across separate coding sessions. By performing a random walk through your awareness graph, it retrieves and interleaves relevant fragments from recent activity into your current thread to minimize uncertainty and maintain cognitive continuity. This skill is particularly useful for complex projects where cross-session context is critical, utilizing a GF(3) balanced exploration model to ensure that information retrieval is diverse, mathematically coherent, and chronologically relevant.

주요 기능

• Mathematical GF(3) balancing to ensure diverse and coherent information sampling.
• Active Inference implementation for epistemic foraging and uncertainty reduction.
• 2 GitHub stars
• Native DuckDB integration for efficient local cognition database querying.
• Time-windowed filtering to prioritize the most relevant recent interactions.
• Graph-based context retrieval via random walk across session awareness edges.

사용 사례

• Resuming complex development tasks by pulling in logic fragments from previous sessions.
• Cross-referencing architectural decisions made across multiple disparate chat threads.
• Automating the discovery of relevant project context during multi-day coding sprints.