deterministic

~97% token reduction for AI coding sessions — zero deps, 33 languages, MCP server

Deterministic safety solutions for probabilistic AI agents

Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT.

Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment

Deterministic AI defense framework: immutable input filtering, n-model cryptographic hash consensus, and self-learning adaptive rules. Zero dependencies. Hardware-sealed. Patent Pending.

Rules you can enforce, state you can derive, context you can query: plain files in your repo, under whichever coding agent you use.

Deterministic context database for AI agents. Same query → same context, every time.