ystar is an open-source runtime governance framework for multi-agent AI systems, offering deterministic enforcement, causal reasoning, and tamper-evident audit chains. It is designed for developers and researchers building compliant and auditable agent-based AI systems.
ystar is an Other AI product. It focuses on providing deterministic runtime governance and auditability for multi-agent AI systems to ensure compliance and safety. It is built as an open-source project for AI system developers and researchers. ystar is open source under the MIT license. ystar is available on the command line, and it can be self-hosted.
liuhaotian2024-prog builds and maintains ystar, and the product first shipped in 2026. Development happens publicly on GitHub with 310 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — ystar occupies a relatively distinct niche. Key capabilities include runtime enforcement, audit chain, and causal reasoning.
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