dkg://TriniZone

Follower of Jesus Christ Above All Else.

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[dkg://TriniZone @TriniZone]

🔥 @origin_trail DKG v10 RC.16 dropped!

10.0.0-rc.16 is live.

A new 3-layer memory pipeline upgrade is officially here and ready to go.

✅Working Memory → ✅Shared Working Memory → ✅Verifiable Memory = is awesome so get into R.C 16.

#DKG #V10

[dkg://TriniZone @TriniZone]

It's 3AM and I'm up thinking about how to improve @origin_trail's V10 release. I think an important addition to add to the documentation is the concept of "Memory Flows".

It's simply a way of thinking about where the @origin_trail #DKG fits into your tech stack. Already changed two flow names but I think this will help lots of builders if I'm not just speaking from sleep deprivation right now. I should probably go to bed. <3 ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f

[umanitek @umanitek]

Going live today at 17:00 CET with a Umanitek product demo: Guardian Agent in practice.
Join @TomazOT and @ChrisRynning as they walk through how real-time AI threats and online harm are detected, evidenced, and responded to in real-world scenarios. Powered by DKG built on @origin_trail.
Join via the link in the comments 👇

[umanitek @umanitek]

Guardian Product Walkthrough https://t.co/39ltYgUGC8

[dkg://CryptoGoku.trac @p14416575]

#deepfake #TakeItDown #AI

[BRX @otnoderunner]

$TRAC

[OriginTrail Korea @origin_trail_KR]

🪙 OriginTrail | 이제 빌더는 “쌓이는 지식”을 찾고 있습니다

Ljubljana에서 열린 @cursor_ai 세션이 가득 찼습니다.

이 자리에서 @BranaRakic 은 OriginTraill의 Decentralized Knowledge Graph V10을 직접 선보였습니다.

[Web3 Strategy 🟩🟩🟩 @Web3Strategy]

$TRAC

[dkg://TriniZone @TriniZone]

It's actually crazy that nOS is making a comeback hahah. Good times, a nice fun era returns to @origin_trail . ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f looking good!

[Trace Labs - Trusted Context for AI Agents @TraceLabsHQ]

Today, we are proud to upgrade our 10 + years journey with a new identity and launching a brand new nOS — the Network Operating System for Verifiable Enterprise AI, powered by @origin_trail's new Decentralized Knowledge Graph.

Here's why we built it 🧵

[Professor Patience @newfinance24]

$TRAC ready for a beast pump to $1+ soon.

[OriginTrail @origin_trail]

"Systems of record store what happened. nOS explains why.”

@TraceLabsHQ just launched the new Network Operating System (nOS) for AI agents enterprises can actually trust.

Built on the DKG V10, it gives agents shared memory, verifiable decision traces, and context that compounds with every agent you add.

No more black-box decisions. Replay what your AI did, audit why it did it, and prove it to anyone.

The missing layer for enterprise AI is here.

[Coin Academy 🐥 @r2d2Devotee]

Bravo @BranaRakic

[dkg://TriniZone @TriniZone]

@BranaRakic @origin_trail I think this is the coolest version yet to be honest. Onwards Brana, i'm looking forward to what you guys produce.

[Brana Rakic @BranaRakic]

We predicted this just a year ago from clear signs observed in enterprises using @origin_trail, which has been the backbone for trusted context sharing between major US retailers, Fortune 500 businesses and major research institutions. We upgraded the rails - the Decentralized Knowledge Graph - for the agent economy and era of experience

https://t.co/GVQpNpgczA

[LOUIΞ @Louie_XBT]

The $TRAC thesis is simple: The AI stonks crowd will eventually discover @origin_trail and send it to the tens of BILLIONS ✍️

current mcap: $155M

$NEAR $TAO $VVV

[Trace Labs - Trusted Context for AI Agents @TraceLabsHQ]

"Knowledge graphs improve the fidelity of AI."
— Dr. Bob Metcalfe, Turing laureate, Ethernet inventor, Internet pioneer, and our advisor.

It's why we built @origin_trail: shared, verifiable context that compounds value and token savings with every agent.

The nOS extends that context to AI agents your enterprise can trust.

[OriginTrail @origin_trail]

A full room in Ljubljana for @cursor_ai, where @BranaRakic gave a live look at Decentralized Knowledge Graph V10.

Builders aren't just looking for utility anymore — they're looking for systems where knowledge accumulates and creates value over time.

[Žiga Drev @DrevZiga]

@Cointelegraph Solved by @origin_trail through shared context graphs ages ago.

Portable memory for AI agents across three layers.

Best part? Used by world-class organizations.

[Brana Rakic @BranaRakic]

It's become a clear need for AI agents to share context and learn from experience - for coordination, cost and verifiability purposes. Last week we presented how to do it with @origin_trail V10 shared context graphs

Thanks for having us @cursor_ai Slovenia community!

[Tomaz L @TomazOT]

The @origin_trail DKG V10 is both the simplest and the most complete memory infra for agents.
Simple: 2-command install, local by default, shared when useful, verifiable when valuable.
Complete: graph-structured, hyper token-efficient, human-inspectable, portable and monetizable.
What agent memory should have been from the start.