TLDR: David Bynon, founder of Trust Publishing, has launched the Semantic Digest Protocol (SDP), a structured memory system for AI designed to work with Anthropic’s Model Context Protocol (MCP). SDP aims to prevent AI hallucinations by providing verifiable memory content, with its first major deployment set for MedicareWire.com in August 2025.
David Bynon, the founder of Trust Publishing, has introduced a groundbreaking innovation in artificial intelligence with the release of the Semantic Digest Protocol (SDP). This new structured memory system is specifically engineered to be compatible with Anthropic’s Model Context Protocol (MCP), addressing a critical gap in AI’s ability to manage and recall information reliably. While MCP standardizes how AI systems interact with external tools and data, it does not define the structure or verifiability of memory content. SDP fills this void by delivering ‘trust-scored, fragment-level content objects’ in various formats, including JSON-LD, TTL, OWL, Markdown, and HTML embedded with Semantic Data Templates (SDTs).
According to Bynon, ‘We created the trust language AI systems can finally understand—and remember.’ This approach allows AI systems to retrieve precise information with full context regarding its source, scope, and reliability, thereby mitigating common issues like hallucinations and misinformation in AI outputs. The system designed to combat AI hallucinations was initially featured on USA Today.
A significant real-world deployment of SDP is slated for August 2025, when MedicareWire.com will implement the protocol. This marks the first large-scale application of AI-readable, verifiable memory within a regulated healthcare domain. The platform will enable AI systems to access scoped Medicare data, such as plan benefits, regulatory constraints, and glossary terms, with complete source attribution and without relying on outdated training data. This implementation highlights SDP’s broader potential as a foundational trust infrastructure for AI, particularly in sectors requiring high accuracy and accountability.
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IBM has recognized MCP as essential AI infrastructure, likening it to a ‘USB-C for AI’—a universal connector for external memory and tooling. SDP complements MCP by defining the structured payload that flows through this connection, effectively completing the AI’s memory loop. This synergy is expected to significantly enhance the operational reliability and trustworthiness of AI systems, especially in complex multi-agent environments.
