Behavioral governance layer for AI assistants that monitors for hallucination, inconsistency, and unsafe reasoning patterns while managing stateful AI sessions.
Provides comprehensive psychological intelligence capabilities including persona analysis, attachment theory assessment, relationship compatibility evaluation, and autonomous workflow strategies through a complete graph database integration.
Tracks MCP server behavior from agent-reported interactions. Provides trust scores, behavioral baselines, anomaly detection, and compliance audit exports for EU AI Act and Singapore IMDA frameworks.
Provides a universal AI personality layer that uses a scientifically-backed Big Five engine to apply consistent character traits and brand voices across MCP-compatible platforms. It allows users to inject custom personality profiles or presets into AI interactions to ensure behavioral consistency.
Enables AI agents to consult a user's cognitive fingerprint, returning calibrated proceed/clarify/escalate/decline signals with policy-based guardrails and real-time phone escalation.
Serves portable behavioral identity models via MCP.
Extracts how a person thinks, communicates, and makes decisions from text, then provides always-on identity context, semantic fact retrieval, keyword search, and provenance tracing through 4 tools and 1 resource.