Deterministic safety solutions for probabilistic AI agents
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Updated
Sep 11, 2026 - Python
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.
Local-first runtime safety layer for AI agents that blocks runaway costs, loops, retries, and budget overruns before provider API calls execute.
AI Identity and Behavioural Fingerprinting
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
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 guardrails for AI agents that enforce token budgets, loop limits, and tool rate limits locally.
Runtime safety components for AI model inference with formal proofs, ultra-low latency, and guaranteed correctness.
Verified maintenance infrastructure for coding agents: detect upstream changes, generate isolated patches, and prove the exact change before it ships.
AgentShield — trust layer for AI agents. Risk scoring, pause-for-approval gate, and kill switch for autonomous AI systems.
Stop writing schemas twice. Define logic as functions, let Typebox infer the types and activate them into a callable facade.
Detect the most common JavaScript runtime crash before it happens
Runtime policy guard for AI agent processes: watches process, file, and network activity from user space, applies deterministic policy, and attempts SIGSTOP or SIGKILL on reviewed triggers — no SDK required, works against any PID. Audit-only mode rehearses policy first; every decision logged as evidence.
Runtime safety through convex projection
A lightweight safety primitive for multi-channel estimator disagreement in autonomous systems. Triggers staged, reversible, low-risk behavior until estimates reconverge. Research prototype — not certified.
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.
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