The WebMEM™ Protocol exists to create a web of content that is verifiable, retrievable, and trusted—not just by humans, but by AI systems that increasingly govern how knowledge is accessed, interpreted, and remembered.
We believe that structure is trust. Every fact, field, and definition should carry a transparent lineage—clearly defining who said what, when, and why it matters. WebMEM delivers this through Semantic Data Templates (SDT), Glossary Term Protocol (GTP) alignment, and machine-resolvable provenance grounded in W3C PROV standards.
Our goal is to standardize trust-scored publishing across industries, governments, and platforms—transforming content into structured memory that AI agents can reliably cite, defend, and retain.
Our Core Values
- Trust by Design: We don’t declare trust—we embed it. Verifiability must be engineered into every fragment, not inferred from page-level signals.
- Fragment-Level Truth: Trustworthiness lives at the level of facts—not pages. Every fragment must stand on its own.
- Human + Machine Alignment: Content should be equally understandable by readers, screen readers, and semantic agents—speakable, scannable, and retrievable.
- Open Stewardship: The protocol is public, extensible, and implementation-agnostic. Anyone can publish memory-aligned content that complies with WebMEM standards.
We’re building the memory layer for the AI Web—
where knowledge is no longer optimized for clicks, but for citation, truth, and long-term reflection.