deterministic

Deterministic safety solutions for probabilistic AI agents

60 deterministic Claude AI skills for Frappe Framework & ERPNext v14-v16 development and operations

Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.

A pure Python LR/GLR parser - https://igor.dejanovic.online/parglare/

Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.

Official implementation of MSR-GCN (ICCV2021 paper)

Deterministic agent reliability detection rules for the Trustabl Analyzer

Grade Image / Grade Images — deterministic, non-generative photo color grading and RAW development for Codex with strict structure, identity, and texture preservation.

Pure-Python reader/writer for VBA macros embedded in Excel / PowerPoint / Word / Access files. Zero dependencies, deterministic round-trip, safe on protected and signed projects.

​A neuro-symbolic runtime architecture for AI agents. Enforces zero trust privilege separation between probabilistic LLM reasoning and deterministic kernel execution. Prevents agent drift with real-time invariants and decision telemetry for auditable autonomy.

CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.

Deterministic rubric engine for AI response review - weighted criteria, evidence-backed scores, stable rankings, Python and C# runtimes.

A BIP-39 / seed-phrase / brain-wallet based Hierarchical Deterministic GPG / SSH key generator that also provisions OpenPGP smartcards for easy key backup and recovery.

Autonomous trading agents with deterministic execution. The agents propose; the system decides.

Compile an AI agent's repeated workflows into deterministic, auditable routines that replay for free, with a fallback to the agent.

Memory-safe clean-room Rust reimplementation of NetworkX with deterministic graph semantics, differential conformance, and RaptorQ-backed durability.

Emboss — precision PDF generation for Python. Declarative specs, Knuth-Plass typography, PDF/UA tagging, deterministic output.

AI failure causality explorer: ingest execution events and their dependencies, forge a causal graph, rank the events most likely to have started an incident, and export timelines plus Markdown/JSON investigations.

Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.

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