Marionette is a deterministic simulation testing (DST) library for Zig.
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Updated
Aug 30, 2026 - Zig
Marionette is a deterministic simulation testing (DST) library for Zig.
A tutorial about how to apply property-based testing to stateful systems.
A tool for comparing the design and analysis of surveys by simulating spatially-correlated populations
Simulation sandboxes to test AI agents against different APIs
Memory for AI agents - entity extraction, dual retrieval, and evolution tracking
IX-HapticSight: open safety authority for AI-controlled robots/XR. RGB-D perception→3D hazards→ALLOW/MODIFY/DENY physical action, with consent, force/tactile/proximity/thermal gating, ROS2 control, recovery, WebXR, replayable evidence & 183 tested checks. MIT + Responsible Use.
Deterministic crawl kernel in Rust — same seed, identical crawl, identical replay. BoringSSL TLS impersonation (JA3/JA4), 17-patch CDP stealth mode, BLAKE3 content-addressed storage, WARC++ format, distributed crawling, RAG extraction. 288 tests, 15 crates, 10K pages proven.
Idiomatic spec library for javascript
Testing the multivariate observer effects (MOE) framework
This repository contains the multi-physics validation models, mechanical-thermal calculations, and trajectory telemetry for a next-generation high-RPM internal combustion engine powertrain.
An infrastructure-to-vehicle (I2V) wireless speed-control system that dynamically restricts maximum vehicle speed in designated safety zones (school zones, municipal limits, construction areas) using Sub-GHz RF beacons and Drive-by-Wire throttle interception.
Find reproducible qualitative simulation transitions and turn them into pytest regressions.
Deterministic Rust testing utility for simulation and stochastic workflows
Workflow orchestration engine written from scratch in Python, with leases, optimistic locking, and a deterministic fault simulator
Deterministic simulation testing for TypeScript — find async races, deadlocks and lost retries, then reproduce them from a seed every time
Tamper-evident AI agent audit harness. Cryptographic witness chain, pre-call policy interception, and byte-stable replay. Prove what your agent did, tried to do, and was blocked from doing. Written in Rust.
Deterministic simulation testing for AI agents. Runs an agent inside a fake world where tools fail on purpose, and measures how often it claims to have done something it didn't — or does it twice.
Raft consensus in a seeded fault simulator: the five safety properties are checked after every step and any failure replays from its seed.
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