Semantic Memory Search

About

The Semantic Memory Search skill empowers Claude with a long-term project memory, allowing it to surface relevant context from previous interactions and milestones. By leveraging the Engram plugin, it performs semantic queries to pinpoint specific architectural decisions, bug fixes, and development patterns that might otherwise be lost between sessions. This is essential for maintaining institutional knowledge and continuity in complex, long-running software projects.

Key Features

• Categorized retrieval for specific architectural decisions and lessons learned
• 0 GitHub stars
• Semantic natural language querying of project history
• Detailed result formatting with relevance scores and summary snippets
• Advanced filtering by memory type including tool use and exchanges
• Cross-project search capabilities for broad knowledge retrieval

Use Cases

• Onboarding onto a complex project by searching for historical context and past team decisions
• Recalling the rationale behind specific database schema choices made in previous sessions
• Identifying previously encountered bugs and the specific solutions implemented to fix them