Quipu: A Governed Bitemporal Knowledge Graph Store
A database that keeps AI agents honest about what they write
When AI agents write data to knowledge graphs, existing databases use outdated rules designed for human curators: they accept writes first and check them later, trust all writers equally, and keep minimal history. Quipu inverts this approach, forcing every write through a governance gate before acceptance, tracking complete time histories with trust labels, and treating governance rules themselves as queryable facts—catching all six planted defects in testing versus zero catches in ungated systems.
As AI systems increasingly generate and share information autonomously, the stakes of unchecked writes grow. Quipu makes governance verifiable through audit trails that live inside the database itself, so organizations can answer "Did this agent follow our rules?" as a simple query rather than manual forensics. Testing shows it answers all real governance questions correctly while reducing false claims by up to 87.5% compared to baseline approaches.