CLARIXO InheritOS detects when AI, agents, or reasoning workflows are about to inherit unstable, stale, or unresolved states. Instead of only judging the final answer, it checks the inheritance boundary: should this state be allowed to continue? Built for AI agents, long-memory assistants, governance workflows, and human-AI collaboration.
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Maker
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Hi Product Hunt 👋
I’m Stone, founder of CLARIXO.
I built CLARIXO InheritOS around one question:
When an AI continues reasoning, should it be allowed to inherit the previous state?
Many AI failures do not begin with one bad answer. They begin when an old, stale, weak, or unresolved state is silently inherited by the next reasoning step, agent, workflow, or user-facing response.
InheritOS is a public proof surface for detecting inherited instability in reasoning.
It helps examine:
- whether a reasoning state is stable enough to continue;
- whether responsibility and authority are properly attributed;
- whether evidence is missing, stale, or contradicted;
- whether a previous conclusion is being inherited without revalidation.
The current public version includes a live demo, theory notes, example inputs, expected outputs, smoke-test matrices, attribution-first classification direction, and dual-sided protocol protection theory.
This is still early, but the goal is clear:
make AI continuation safer by checking what has earned the right to be inherited into the next response or action.
I’d love feedback from AI safety researchers, agent builders, AI governance teams, and developers building long-memory or multi-agent systems.