Core Primitives
Seven fundamental building blocks engineered to orchestrate persistent, structured context for agentic systems.
Memory & Continual Learning
Persistent, structured memory built as a knowledge graph, powered by QIA's context engine.
Contextual Retrieval (Q-RAG)
Hybrid search and reranking over documents at sub-300ms latency, optimized for LLM context windows.
Session Filesystems
Every session mountable as a live, queryable structure — semantic search over stored context.
User Profiles
Preference and identity context that stays coherent across sessions, apps, and agents.
Connectors
Sync Slack, Notion, Google Drive, Gmail, GitHub, and custom sources automatically.
Extractors
Turn PDFs, images, audio, and raw files into memory-ready objects with smart layout-aware chunking.
Qualitative Analysis
Cluster and summarize behavioral signals in place, without exporting the underlying private data.
Want to understand the underlying engine?
Read the Haqikos QIA Engine documentation to explore the core memory loop, mathematical tensor transformations, and security guarantees.