Building a practical checkpoint between “the model said it” and “we trusted it.”

HUQAN is a local-first, partial-trust observation and governance layer for AI-agent workflows. It brings together evidence, provenance, verification, contradiction and risk checks, policy decisions, human approval, and auditable Trust Receipts.

In practical terms, HUQAN is intended to help teams understand what an agent is doing, why an output or action was allowed or stopped, and what evidence or approval was involved. The project includes open-source developer surfaces such as CLI, REST, MCP, and local UI workflows, with governance and approval boundaries around selected agent-action paths.

HUQAN is not an LLM, a universal truth engine, or a guarantee that hallucinations will disappear. It does not replace the underlying models, identity systems, or every production security control. Its current role is more focused: a practical checkpoint between “the model said it” and “we trusted it.”