[KongchangAI]
ProductRayTrace 沙箱

RayTrace

A sandbox tool that records the actual execution of AI coding agents at the kernel level. It runs agents on gVisor and collects execution evidence from the kernel layer, including processes, file systems, and syscalls, providing independent audit ground truth that does not rely on the agent's own account.

Timeline (last 90 days)

Oct 14

RayTrace runs AI coding agents inside gVisor-backed sandboxes and collects execution evidence at the kernel level.

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Oct 14

The types of evidence RayTrace records include: every process launched (executable, arguments, working directory, stdout/stderr, exit code, timestamp), the gap between proposed tool calls and actual processes, filesystem diffs, syscall/process tree evidence, and change alerts for protected files.

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Oct 14

RayTrace provides a forking a run feature: pause at any step of the agent's execution, change the input or environment the agent sees at that moment, then continue running to observe differences in behavior.

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Oct 14

RayTrace's founder describes forking a run as 'the closest thing I've found to a controlled experiment on agent behavior'.

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Oct 14

RayTrace is currently in a small-scale pre-pilot state, recruiting 5 Beta testers and offering $10 of free Claude Code sandbox credits in exchange for feedback.

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Oct 14

RayTrace's official website is https://raytracer.si.

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Oct 14

Kernel-level evidence comes from a layer outside and beneath the agent process, which the agent cannot directly tamper with, and is therefore more trustworthy than application-layer logs.

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Oct 14

RayTrace is more likely to appeal to teams that run coding agents frequently in CI/CD or local development, organizations that need security audits or compliance trails for agent behavior, and developers studying agent reliability.

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