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Refactors markdown documents into cleaner, more structured formats using advanced parsing and semantic understanding.

Find relevant documents or data points based on semantic similarity using vector embeddings powered by winsorllc.

Semantic memory search using Qdrant + Ollama embeddings (QRAS). Use as primary method for recalling workspace files, notes, decisions, and prior work before falling back to built-in search.

Cocoindex enables semantic search across your documents by indexing content for faster, more relevant retrieval – boosting productivity and knowledge discovery.

Stores and retrieves vector embeddings in a Qdrant database, enabling semantic search and similarity analysis.

21 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for A