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by zircote • Uncategorized
An MCP server providing persistent memory and semantic search for AI coding assistants.
Capture and recall coding session memories with semantic search.
Integration with Claude Code IDE hooks for enhanced context awareness.
A hybrid vector and BM25 search backend with normalized relevance scoring.
Subcog is a persistent memory system designed for AI coding assistants that captures decisions, learnings, and context from coding sessions and surfaces them when relevant. It features a three-layer storage architecture combining SQLite persistence, FTS5 indexing, and usearch HNSW vectors for hybrid semantic search. Subcog integrates with AI agents via MCP server protocol and supports advanced features like knowledge graphs, entity extraction, and temporal reasoning to enhance coding workflows.
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