veritasfuji-japan/veritas_os
VERITAS OS is an auditable decision infrastructure for LLM agents. Each decision runs through a deterministic pipeline: Evidence → Critique → Debate → Plan → FUJI safety gate → ValueCore → TrustLog. Designed to make AI decisions reviewable, traceable, and accountable inside real organizational workflows.
This project helps organizations integrate large language models (LLMs) into their operations in a controlled and accountable way. It takes an LLM's suggested actions or responses and puts them through a rigorous safety and compliance pipeline. The output is a clear, auditable decision, along with logs that show exactly how that decision was made. This is for risk managers, compliance officers, and operations teams who need to ensure AI systems are safe, transparent, and meet regulatory requirements.
Use this if you need to deploy AI agents in an environment where every decision must be traceable, explainable, and compliant with internal policies or external regulations like the EU AI Act.
Not ideal if your primary goal is rapid experimentation with LLM autonomy and tool use without the overhead of extensive governance and audit trails.
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Language
Python
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Last pushed
Mar 19, 2026
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