Deterministic safety solutions for probabilistic AI agents

🛡️ Zero-dependency runtime crash guard for Node.js apps with disciplined exits and clean logs

Runtime governance for AI agents. Contracts enforce what tools can do — before they execute.

cppnat is a NAT reverse proxy tool (aslo known as a hole punching tool) helps you expose your private IP and port and bind them onto a server with public IP,access your private service anywhere.

a library aims to convert json string to C++ data struct in modern,fluent and fast way. Runtime safety and No C++ Exception.

AI Identity and Behavioural Fingerprinting

Local-first runtime safety layer for AI agents that blocks runaway costs, loops, retries, and budget overruns before provider API calls execute.

A modern,fluent and simple C++ mysql database library implemented wit C MySQL API.Runtime safety and no exception.

Runtime approval gates for AI agent tool calls. Intercept payments and emails before execution

Runtime guardrails for AI agents that enforce token budgets, loop limits, and tool rate limits locally.

Ts-TypeSafeEnv: A lightweight TypeScript library for managing type-safe environment variables. Say goodbye to runtime errors with compile-time validation and effortless setup—perfect for building reliable, error-free JavaScript or TypeScript projects 🚀.

Runtime safety components for AI model inference with formal proofs, ultra-low latency, and guaranteed correctness.

Detect the most common JavaScript runtime crash before it happens

AgentShield — trust layer for AI agents. Risk scoring, pause-for-approval gate, and kill switch for autonomous AI systems.

Governance infrastructure for AI agents. Risk classification, approval gates, and audit logging for autonomous systems.

Runtime safety layer for autonomous AI agents. Policy enforcement, progress tracking, state revalidation, and behavioral baseline learning. Rust core with Python & Node.js SDKs.

Runtime safety through convex projection

A semantic contract system that enforces explicit coupling at runtime and enables safe evolution.

Aegis is a research framework that applies Non-Linear Control Theory and H-Infinity Robust Control to AI Alignment. It treats Large Language Models as stochastic plants, using mathematically rigorous feedback loops to identify and reject "deceptive" activations as system disturbances.

Modular middleware for emotional safety, symbolic transparency, and real-time drift prevention. From bind-aware routing to EU-ready ethics, LLOYD Preserver protects behavior, motifs, and trust in language systems.