The UOR Foundation is joining the Linux Agentic AI Foundation (@AgenticAIFdn ).
Together we are advancing a neutral, open foundation of trusted standards, protocols and infrastructure for the agentic era.
Our shared goal is to enable transparent collaboration, interoperability and mutual growth between humans and agents across the ecosystem.
UOR’s @linuxfoundation roots run deep.
Read more about the original UOR framework:
next.redhat.com/2022/07/13/t…
New joint research from MIT Project NANDA and UOR Foundation.
When AI agents pass data to each other, the receiver needs one clear answer: is this the data the owner published?
Same Data, Different Bytes by Jin Gao and Maura Clark, accepted at the NANDA Workshop (IEEE TPS-ISA 2026), solves it with a serialization-invariant identifier. Equivalent representations get the same ID; real changes do not.
In controlled tests the method raised correct acceptance of equivalent data by +80% over ordinary tools and +70% over checksums, while improving rejection of altered content.
Paper: arxiv.org/pdf/2610.24916
GitHub: github.com/UOR-Foundation/uo…
Same Data, Different Bytes by Jin Gao and Maura Clark, accepted at the NANDA Workshop (IEEE TPS-ISA 2026), solves it with a serialization-invariant identifier. Equivalent representations get the same ID; real changes do not.
In controlled tests the method raised correct acceptance of equivalent data by +80% over ordinary tools and +70% over checksums, while improving rejection of altered content.
Paper: arxiv.org/pdf/2610.24916
GitHub: github.com/UOR-Foundation/uo…


