The decision layer
for agentic AI
Memintel compiles natural language intent into deterministic execution graphs. Same input. Same decision. Every time.
Why Memintel
Deterministic by design
Same input, same guardrails, same decision — every execution. No probabilistic drift, no LLM on the hot path.
Fully auditable
Every decision is traceable: which primitives were fetched, which concept was computed, which strategy fired and why.
Strategy-driven conditions
Conditions evaluate meaning through structured strategies — threshold, percentile, z-score, change, composite — not prompt heuristics.
Calibration without mutation
Feedback drives parameter recommendations. Applying calibration creates a new immutable version. Historical decisions stay reproducible.
Guardrails system
Admin-defined policy layer constrains LLM output at task creation time. Strategy registry, type-compatibility, parameter priors, bias rules.
Composable primitives
Concepts compose from versioned primitives. Features derive intermediate signals. The entire graph is typed, validated, and version-pinned.