CortexDB: Structured Context for Trustworthy AI Agents

As AI agents grow more autonomous and complex, traditional RAG systems prove insufficient—agents require structured, verified context with built-in citations and permission boundaries. CortexDB addresses this critical gap by introducing an agent-native context database that transforms raw text chunks into trustworthy, token-budgeted context packages, enabling more reliable and accountable AI decision-making.