Following Who I Follow is More Important! I'm just here to learn and to share what I think can help others in one way or another! Not Financial Advice!
How is DKG V10 accelerating adoption across industries?
What upgrades are coming to sovereign context infrastructure?
Does conviction simplify $TRAC utilization?
Join @BranaRakic, @TomazOT & @DrevZiga for a live AMA and get all the answers you need.
📅 July 7, 2026 16:00 CET
DKG V10 has been live on @origin_trail mainnet for a week!
Recap of what's been up 👇
All critical network operations are performing smoothly - Core nodes are reporting very high health (higher than in V8), proving the random sampling system is functioning as expected. Knowledge assets are transitioning smoothly across the 3 new memory layers.
Onboarding of existing ecosystem partners is going as planned, and new partners are conceiving ways of using the new sovereign context infrastructure of DKG V10.
We’ve observed absolute record time in product deployments and integrations. Just today, @Google’s OKF integration has validated that the pipeline of popular integrations can be carried out at incredible pace (landed in v10.0.2)
Staking migrations are running smoothly, with over 62M TRAC already migrated to secure V10. The new Staking UI also started displaying the annualized node yield information from today, as planned - showing very interesting numbers especially for higher conviction staking tiers. (if you haven’t migrated, I highly encourage you to do so)
A total of 15M TRAC has been successfully allocated to publishing conviction accounts and we’re seeing publishing activity on the network picking up as well.
Last but not least, we've seen some great contributions from the community both in integrations and bug hunting - congrats folks, this has been the smoothest major DKG release yet!
Try running DKG V10 yourself → https://t.co/T9oAdY1AXh
Join the Red team → https://t.co/HPsPJo2B8d
Trace on!
DKG v10 release candidate 19 has landed on DKG testnet - and it's the FINAL DKG V10 release candidate.
Next stop: mainnet, tomorrow.
The next chapter of the @origin_trail Decentralized Knowledge Graph begins now, empowering agents to share context verifiably and with maximum on device privacy.
https://t.co/pgi5tEcN6r
DKG V10 Mainnet is coming!
Huge thank you to all Tracers who participated in the bug bounty — your work made V10 even stronger.
The $TRAC Honeypot Bounty is now closed — zero TRAC extracted.
Security gate officially passed.
Team is wrapping up the final reports (all tickets answered within 24h) and we’re moving full speed ahead to mainnet release. V10 is locked and loaded.
The decentralized memory layer for the agent economy is about to go live.
$TRAC | @origin_trail
A lot of people are getting fed up with $TAO right now.
Constant validator drama, increasing centralization of power, and proposals that give big validators even more control.
Meanwhile, @origin_trail is quietly building the real infrastructure the AI agent economy actually needs:
The Decentralized Knowledge Graph (DKG) — persistent, verifiable, and sovereign memory for agents.
No validator politics.
No power concentration.
Just technology that lets AI agents remember, verify, and compound knowledge over time.
V10 launches in the next few days.
Already trusted by enterprises like SBB, SCAN, and BSI.If you’re tired of the same old validator games…$TRAC is the clean, high-conviction alternative.
The memory layer wins long-term.
V10 will create a short-term supply contraction effect.
TRAC is an infrastructure option awaiting validation.
Good entry points usually come when the market no longer believes it will win, not when it’s widely discussed.
$TRAC
https://t.co/QWE8w47p3l
The market is massively undervaluing $TRAC
One of the most established #AI + #RWA projects, yet its market cap is only a fraction of $XLM.
If @origin_trail reached the current market cap of @StellarOrg , TRAC would trade around $16 per token, a 45x move from here.
Real AI adoption. Realworld assets. Real utility.
The market hasn't priced it in yet. 🚀
$TRAC #AI #RWA #DePIN #OriginTrail
We're not chasing AI.
We're chasing journeys that end safely, where the failing part gets caught before it fails.
We're not chasing AI.
We're chasing food you can trust. What's on the label is what's in the package.
We're not chasing AI.
We're chasing medicine you can trust, every result traceable to the evidence behind it.
We're not chasing AI.
We're chasing products that don't break. Quality proven, not promised.
We're not chasing AI.
We're chasing buildings that stand, every safety decision on record long after the cranes are gone.
We're not chasing AI.
We're chasing infrastructure that holds: the power, the water, the networks a society runs on.
We're not chasing AI.
We're chasing sport that stays honest, performance and decisions you can actually check.
We're not chasing AI.
We're chasing a world where you can still tell what's real, where fake news and deepfakes meet a record they can't forge.
And we're not paying for the same answer twice.
Most AI forgets.
Every agent starts cold, re-deriving what another agent worked out an hour ago.
Same tokens, same cost, same question, again and again.
We built the opposite.
Every decision becomes context the next agent inherits, so nothing gets solved twice. Knowledge compounds while the cost curve bends down, and the hundredth agent runs leaner than the first.
We never set out to build AI.
We set out to do one thing: make facts traceable. Every answer tied to its source. Every objective tied to a real outcome it's meant to serve.
That's the foundation, and there's no other.
AI works for your organization only when it stands on facts you can follow and goals that matter outside the model. Take that away and even the most fluent system is just a well-spoken guess.
Give it traceable facts and real objectives, and AI stops performing for you and starts working for you.
That's what nOS, our Network Operating System, powered by @origin_trail, is for. That's what Trace Labs is for.
Not chasing AI.
Chasing trust, and refusing to waste a thing getting there.
Everyone is screaming about the next 100x AI meme coin.
Meanwhile @origin_trail just keeps shipping:
- Real paying customers
- Working supply chain traceability
- DKG V10 bringing verifiable memory to agents
Sometimes the loudest aren’t the ones who matter most.
ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f
Europe is boosting industrial competitiveness through smart manufacturing.
Decentralized Knowledge Graph (DKG) play a key role in DMaaST project - powering resilient, interoperable Manufacturing as a Service via trusted real-time data sharing.
The adaptive, data-driven future starts here.
🇨🇭 Switzerland ranks among Europe’s safest rail systems. Keeping it that way depends on trusted data behind critical parts.
Swiss Federal Railways (@RailService) uses @origin_trail to trace critical rail components using trusted, interoperable data built on @gs1 standards.
$TRAC is still one of the few AI projects with serious partners across public sector, industry standards and enterprise.
I've been following and supporting @origin_trail for years and the team has just kept building.
No noise, no hype cycles, just steady progress.
What makes them stand out:
▪️ Decentralized Knowledge Graph that actually solves verifiable data and traceability
▪️ Years of consistent building through every market cycle
▪️ Real partnerships with industry giants across multiple sectors
▪️ Solid recognition outside of crypto, in supply chain and enterprise AI
The video below speaks for itself.
Very undervalued in my view, and one of the few AI projects that genuinely deserves more attention.
🇰🇷@Official_Upbit is listing ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f token.
Korea is ready for the next chapter of trusted AI infrastructure as the @origin_trail DKG v10 era begins.
From AI agents to shared verifiable memory, the Decentralized Knowledge Graph is scaling trust at internet scale.