Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.
Discover semantically related concepts using ConceptNet's similarity algorithms to expand exploration, find related terms, and understand semantic neighborhoods.
Analyze API relationships to discover related functionality, inheritance, protocol conformances, and Apple's recommended alternatives for understanding how APIs work together.
A local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.
Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.