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OriginTrail
13.9K posts
OriginTrail
@origin_trail
Trust the Source.
Decentralized Katılım Mayıs 2014
1.4K Takip Edilen91K Takipçiler
OriginTrail retweetledi
We're not chasing AI. We're chasing medicine you can trust. Every result traceable to evidence. Every decision becomes context the next agent inherits.
That's what the Network Operating System on @origin_trail is for. Nothing wasted. Everything compounds.
Trust the source.
OriginTrail@origin_trail
💊 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.
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How do we make medical AI trustworthy?
Dr. Kim Wager of Oxford PharmaGenesis showcased a live demo of agentic medical AI grounded in verifiable data provenance, powered by the @origin_trail Decentralized Knowledge Graph.
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💊 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.
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Threat analysis is one example of a bigger shift: AI only scales when it can rely on trusted data, verifiable sources, and connected context.
See how @origin_trail puts that into practice ⤵️
origintrail.io/solutions?utm_…
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Threat analysis breaks when signals scatter and sources can't be verified.
DKG gives agents shared, verifiable memory:
→ Every signal traces back to its source
→ Context stays attached across networks
🛡️@umanitek uses @origin_trail to analyze and trace threats in real time.
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OriginTrail retweetledi
@satyanadella Capturing the value of context is something we've been working on with shared context graphs at @origin_trail
No central authority needed, just peer to peer knowledge transactions
x.com/BranaRakic/sta…
Brana Rakic@BranaRakic
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OriginTrail retweetledi
“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.
Satya Nadella@satyanadella
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Most people will read “Google Drive for AI agents” as a simple analogy.
I think it describes a much bigger infrastructure shift.
Today, agents rebuild context in isolation, repeat work and lose institutional memory.
Shared context changes that:
one agent learns
every permitted agent benefits
knowledge compounds
provenance remains visible
This is not just better memory.
It is coordination infrastructure for the agent economy.
That is why @origin_trail DKG V10 matters.
ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f
@origin_trail @TraceLabsHQ @DrevZiga @BranaRakic @TomazOT @woisau1 @CryptoMichNL
#TRAC #OriginTrail #DKGV10 #AgenticAI #AIMemory #KnowledgeGraph #VerifiableAI #AIInfrastructure
OriginTrail@origin_trail
Remember work before shared drives? Files trapped on one computer. Version chaos. Everyone redoing everyone's work. That's AI agents today. Each builds context in isolation, uses it once, then loses it. There's a fix: a shared "Google Drive" for AI agents.
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Decentralized Knowledge Graph:
🔑 You own your context
🧾 Provenance stays attached
📈 Shared context compounds in value
💸 Up to 70% LLM token savings
Works with Claude Code, Cursor + more.
Context shared is power multiplied.
origintrail.io/technology/dec…
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Remember work before shared drives?
Files trapped on one computer. Version chaos. Everyone redoing everyone's work.
That's AI agents today. Each builds context in isolation, uses it once, then loses it.
There's a fix: a shared "Google Drive" for AI agents.
English
OriginTrail retweetledi
Thanks @origin_trail community for the great feedback and bug reports- which now landed in DKG 10.0.5
Note for builders: please keep posting issues on the repo, and do share your experience in the DKG Red team telegram chat
Note for stakers: staking positions show a small value for previous epoch rewards which didn't have any publishing conviction accounts allocated (finishing V8 epoch 18). This is expected. From epoch 19 onward we will see the publishing allocation increasing
Trace On!
OriginTrail Developers@OriginTrailDev
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
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OriginTrail retweetledi
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
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@McKinsey Own your context. Build your moat.
Start here → origintrail.io
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"If everyone has the same advantage, it's not really an advantage."
@McKinsey on AI: Nearly 9 in 10 organizations now run it, mostly on the same models. So the model isn't the moat. What surrounds it is: context you own and can verify.
That’s the OriginTrail DKG: trusted, sovereign context for AI, with provenance by design — portable across models, locked to no vendor.
Common models, uncommon moats. The uncommon part is the context layer.
Trust the source.
McKinsey & Company@McKinsey
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
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AI agents don't need more context. They need context they can trust.
@Google's OKF made knowledge portable. OriginTrail makes it verifiable and owned.
Shown on Strategy's $MSTR Bitcoin treasury: raw SEC filings become facts agents can trace & verify.
Trust the source.
OriginTrail@origin_trail
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
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OriginTrail retweetledi
A supply chain is hundreds of companies. A digital product passport is only as trustworthy as the data every one of them adds.
We made that data verifiable before regulation required it.
Proven, not promised.
OriginTrail@origin_trail
🛂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.
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OriginTrail retweetledi
We met to share the latest on @origin_trail Decentralized Knowledge Graph and where it is heading
Exciting times!
OriginTrail@origin_trail
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…
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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…
English