OSCAR is a self-improving assistant that runs on your own hardware and checks its own answers before they reach you. Most agents remember and act — OSCAR also verifies.
Request early access See the proofToday's agents curate memory and call tools — but nothing checks whether the answer is actually true before it reaches you. A confident, wrong answer ships anyway. In code, in research, in support, that's the failure that costs you.
OSCAR adds the missing layer: an answer-level verification gate — a Critic that catches unsupported claims and says "I can't determine that" instead of inventing one.
OSCAR's verification runs on a small, reproducible benchmark anyone can run. Honest scope: it proves the pattern, not production-scale robustness — and it gets the same numbers on a free local model and on a frontier model.
To be precise: this is application-level verification — a trust gate over an agent's output. It is not a foundation-model claim (that's the work of the labs). It's the piece that decides whether you can trust what the agent just told you.
OSCAR is named after a Great Pyrenees — a breed bred for one job: to guard the flock and never raise a false alarm. That's exactly what this agent does. It watches, it works, and when it isn't sure, it doesn't bark at shadows — it tells you the truth. A guardian you can trust is the whole idea.
OSCAR was designed and built by a self-taught builder — a registered nurse, not a career engineer — directing the architecture while an AI partner wrote the code. The conviction behind it: AI shouldn't replace people; it should make them capable of more than they thought possible. OSCAR is the proof.
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