Searches across a unified memory system to retrieve past decisions, patterns, and contextual wisdom.
Soul Memory Search provides a powerful interface for accessing the 'soul'—a persistent repository of project context, past failures, architectural decisions, and conceptual definitions. By spawning a dedicated subagent, this skill performs high-precision semantic searches to recall specific episodes or beliefs, helping developers maintain consistency across long-term projects and avoid repeating past mistakes. It automatically synthesizes search results into clear summaries, highlighting common themes and relevant patterns to inform current development tasks without losing existing context.
Key Features
01Semantic memory retrieval with similarity scoring
020 GitHub stars
03Categorized search across wisdom, beliefs, failures, and episodes
04Automated synthesis of findings and pattern recognition
05High-speed recall of project-specific terms and definitions
06Context-preserving Task agent execution
Use Cases
01Recalling the rationale behind a specific architectural decision made months ago
02Quickly looking up project-specific terminology and shared conceptual definitions
03Identifying recurring patterns or past failures to avoid during a new implementation
