The cognitive layer for autonomous agents
A reasoning runtime that gives AI agents planning, memory, human oversight, and self-correction. Designed to be embedded into existing frameworks.
Planning
Milestone-structured plans with pre-execution validation and targeted revision
Memory
Trust lifecycle, confidence from outcomes, decay, conflict detection. Multi-collection vector search with graph relationships and hybrid ranking
Human Oversight
Six gate levels, declarative policies, progressive trust
Self-Correction
Evidence propagation that prevents cascading hallucination
Multi-Agent
Memory isolation, learning transfer, structured debate, A2A protocol
Resilience
Error classification, fallback chains, graceful degradation
Every design decision grounded in research.