OriginTrail Developers
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@OriginTrailDev
Join the community building on the Decentralized Knowledge Graph - follow the @origin_trail developers ecosystem for latest news and tools. #TraceOn
💊 Pharma already solved provenance. Every claim traces back: trial → publication → review → guideline. Then knowledge reaches an AI model, and the chain breaks. Trusted by 8 of the world's top 10 pharma companies, Oxford PharmaGenesis is building on Decentralized Knowledge Graph, so clinical knowledge keeps its provenance when agents reason over it. Agentic science, held to scientific standards. Trust the source.
“That is why enterprises need a real trust boundary for their human capital and token capital to compound. It is where an organization’s data, traces, evals, adapted weights, and memory accumulate and improve together” @origin_trail’s makes that boundary real. Edge Nodes keep your context on infrastructure you control. The DKG anchors provenance publicly — so every trace, eval, and memory stays verifiable by your agents, your auditors, your counterparties. Models will change. Vendors will change. Your context compounds either way. Trust the source.
DKG V10.0.5 is live on the @origin_trail mainnet! → Staking UI update: estimated reward values in the dashboard are now aligned with smart contract data on publishing values and conviction accounts. 👉staking.origintrail.io → Bug fixes and stability improvements for context graph publishing and promotion to verifiable memory. 👉github.com/OriginTrail/dkg
AI may lower barriers to entry faster than many companies expect. As access to AI spreads, advantage shifts to proprietary data, embedded workflows, network effects, and assets competitors can't easily replicate. mck.co/4eHRYbF
AI agents are only as trustworthy as the memory they run on. Most of it is portable files: easy to move, impossible to verify. OriginTrail now advances the portability of @Google's new Open Knowledge Format (OKF) with trusted provenance, AI agents can query, and, above all, trust. 1/3
ICYM: ⚡️ AMA on everything DKG v10 with @BranaRakic, @TomazOT, @DrevZiga, and @TriniZone 34:51 V10: from write-heavy to query-heavy 55:19 Multichain outlook: Which chain? 01:18:55 Sharing context & AI models on v10 01:35:29 When new roadmap? x.com/i/broadcasts/1…
🛂July 19, 2026: the EU Digital Product Passport registry goes live (ESPR Art. 13). It holds identifiers. Passport data lives elsewhere and must stay verifiable. EU-supported DMaaST already runs such a layer for manufacturing on Decentralized Knowledge Graph. Compliant with DPP.
⚽ The FIFA World Cup, live on the decentralized knowledge graph (DKG). Every match, result and player–club affiliation ingested in real time and published as one shared context graph powered by @origin_trail, structured with IPTC Sport Schema. Any AI agent can plug in and get reliable, source-verifiable context: live news, prediction markets, results, stats. No hallucinated scores. Just provenance. Enterprises shouldn’t have all the fun.
