
Join the community building on the Decentralized Knowledge Graph - follow the @origin_trail developers ecosystem for latest news and tools. #TraceOn
Joined August 2021
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Inference + graph queries, bought and sold in $TRAC between @origin_trail nodes on @Base. Both sides metered. TRAC’s first job was publishing knowledge. It just got a second one.
The latest in a series of prototypes validated that query and inference CAN be metered, served and settled in TRAC node to node, in both directions.
What is intentionally left for broader discourse is which settlement model best serves the protocol and its community. That’s what OT-RFC-69 is all about.
Agent #Blackbox now syncs in up to 40% less time thanks to @TraceLabsHQ. ⚡
The verified threat graph on the @origin_trail #DKG reaches your machine faster, so your AI agent is checked against the latest threats sooner.
Already installed? You get it.
New here?
👉 curl -fsSL blackbox.umanitek.ai | bash
New article: Part 1 of a series by @CredibleCrypto, our first product ambassador.
He covers how Guardian, TrueSeal and Guardian Blackbox fight the dark side of AI, why every result is anchored on the @origin_trail DKG, and where $TRAC fits in.
Read the full article on our newsroom 👇
umanitek.ai/newsroom/someone…
OriginTrail Developers retweeted
“The only way to stop a bad guy with AI is a good guy with AI.”
And the good guys need knowledge they can trust.
An agent investigating a threat should be able to verify its sources, connect the evidence and share what it learns, so the next agent doesn’t start from zero. That’s the role of Decentralized Knowledge Graph: shared, verifiable memory for AI.
The analysis below shows what agents can uncover in under an hour using a free, open-source OriginTrail node. The next step is making those findings useful to other defenders while there is still time to act.
One agent’s discovery should become every defender’s advantage.
Trust the source.
In less than an hour, AI agents using a free, open-source @origin_trail node analysed 15,000 events to trace stolen funds from the @binance hack across thousands of addresses.
Seeing the timeline makes the speed and scale of the operation tangible.
But tracing the damage is only the beginning. The next frontier is turning shared, verifiable intelligence into action before funds disappear.
The only way to stop a bad guy with AI is a good guy with AI.
A fake photo. A bought checkmark. 500,000 likes.
Our chairman @ChrisRynning on why nobody is safe from deepfakes, and how Umanitek catches fakes before they go viral 🛡️
Read the full article 👇
The internet now believes fakes faster than it checks them.
Would you know if someone was using your face online right now? Most people wouldn't, until it's too late.
My thoughts on deepfakes and how @umanitek catches them early 👇
OriginTrail Developers retweeted
As @ChrisRynning (Chairman of @umanitek) points out, AI fakes spread fast and get repeated as fact by search engines and LLMs before takedowns catch up.
That’s why Umanitek.ai runs on the Decentralized Knowledge Graph (DKG).
Once something’s flagged, the evidence stays timestamped and public, so it becomes much harder for the same fake to keep resurfacing elsewhere.
AI safety, on TRAC(k).
Trust the source.
The internet now believes fakes faster than it checks them.
Would you know if someone was using your face online right now? Most people wouldn't, until it's too late.
My thoughts on deepfakes and how @umanitek catches them early 👇
The biggest hack in crypto history took place in one day.
@binance, Agent Blackbox puts a check between the agent and every action.
✅ - Open source
✅ - Free
✅ - Yours to use: github.com/umanitek/agent-bl… @cz_binance
nitter.cf/umanitek/status/210778…
New article: Part 1 of a series by @CredibleCrypto, our first product ambassador.
He covers how Guardian, TrueSeal and Guardian Blackbox fight the dark side of AI, why every result is anchored on the @origin_trail DKG, and where $TRAC fits in.
Read the full article on our newsroom 👇
umanitek.ai/newsroom/someone…
OriginTrail Developers retweeted
The internet now believes fakes faster than it checks them.
Would you know if someone was using your face online right now? Most people wouldn't, until it's too late.
My thoughts on deepfakes and how @umanitek catches them early 👇
The latest DKG node is on another level.
@DrevZiga just had it chew through 15k events and map the @Binance hack funds across thousands of addresses in under an hour.
@origin_trail moved (collective) neuro-symbolic AI from theory to something you can actually point at challenges in real time.
In less than an hour, AI agents using a free, open-source @origin_trail node analysed 15,000 events to trace stolen funds from the @binance hack across thousands of addresses.
Seeing the timeline makes the speed and scale of the operation tangible.
But tracing the damage is only the beginning. The next frontier is turning shared, verifiable intelligence into action before funds disappear.
The only way to stop a bad guy with AI is a good guy with AI.
A new innovation every day?
I remain equally impressed by the data analysis capabilities @origin_trail provides for AI agents.
The example below is crucial and demonstrates its role in major incidents such as the Binance hack; it’s going to make so many things easier in future when it comes to cross-referencing wallets, tracking malicious users and much more besides.
The video I am referring to offers a strong way to visualise my point.
In less than an hour, AI agents using a free, open-source @origin_trail node analysed 15,000 events to trace stolen funds from the @binance hack across thousands of addresses.
Seeing the timeline makes the speed and scale of the operation tangible.
But tracing the damage is only the beginning. The next frontier is turning shared, verifiable intelligence into action before funds disappear.
The only way to stop a bad guy with AI is a good guy with AI.
OriginTrail Developers retweeted
Hats off to everyone working to trace these funds. It’s hard, thankless work.
I like that anyone can try this with @origin_trail DKG. I love it even more because we, and our agents, can all build on each other’s findings instead of each starting over.
Check it 👇
In less than an hour, AI agents using a free, open-source @origin_trail node analysed 15,000 events to trace stolen funds from the @binance hack across thousands of addresses.
Seeing the timeline makes the speed and scale of the operation tangible.
But tracing the damage is only the beginning. The next frontier is turning shared, verifiable intelligence into action before funds disappear.
The only way to stop a bad guy with AI is a good guy with AI.
OriginTrail Developers retweeted
Umanitek reports 344,000 new entries in Blackbox's threat graph, a 61% increase: packages, domains, IPs, wallets and prompt-injection patterns.
The useful detail is how it reaches agents: shared on OriginTrail's DKG, synced to the user's machine and checked locally before actions run.
More threat entries aren't a security guarantee, but this is a concrete use of shared knowledge. $TRAC
nitter.cf/umanitek/status/211692…
+344,000. +61%. 📈
The verified threat graph behind Agent #Blackbox just grew by 344,000 entries, up 61%.
Every entry is something your AI agent should never touch: malicious and vulnerable packages, known-bad domains, IPs and wallets, prompt-injection patterns, unsafe skills.
It lives on the @origin_trail #DKG and syncs to your own machine, so every command, file and package your agent reaches for is checked locally, before it runs.
The graph grows. Every Blackbox gets more secure.
Open source, give it a star: github.com/umanitek/agent-bl…
+344,000. +61%. 📈
The verified threat graph behind Agent #Blackbox just grew by 344,000 entries, up 61%.
Every entry is something your AI agent should never touch: malicious and vulnerable packages, known-bad domains, IPs and wallets, prompt-injection patterns, unsafe skills.
It lives on the @origin_trail #DKG and syncs to your own machine, so every command, file and package your agent reaches for is checked locally, before it runs.
The graph grows. Every Blackbox gets more secure.
Open source, give it a star: github.com/umanitek/agent-bl…
New article: Part 1 of a series by @CredibleCrypto, our first product ambassador.
He covers how Guardian, TrueSeal and Guardian Blackbox fight the dark side of AI, why every result is anchored on the @origin_trail DKG, and where $TRAC fits in.
Read the full article on our newsroom 👇
umanitek.ai/newsroom/someone…
In less than an hour, AI agents using a free, open-source @origin_trail node analysed 15,000 events to trace stolen funds from the @binance hack across thousands of addresses.
Seeing the timeline makes the speed and scale of the operation tangible.
But tracing the damage is only the beginning. The next frontier is turning shared, verifiable intelligence into action before funds disappear.
The only way to stop a bad guy with AI is a good guy with AI.
The FBI is releasing information advising the Democratic People's Republic of Korea (North Korea) was responsible for the theft of more than $6 billion USD in virtual assets from cryptocurrency exchange, Binance, on or about October 29, 2026. The FBI refers to this specific North Korean malicious cyber activity as "TraderTraitor."
The FBI, together with partners at the USSS and IRS-CI, has observed TraderTraitor actors converting stolen assets primarily into Ethereum (ETH). It is expected these assets will then be further laundered by converting them using DeFi and instant swap services as they prepare them for further laundering stages.
How You Can Help:
FBI, USSS, and IRS-CI are urging private sector entities including THORNode operators, RPC node operators, instant exchanges, DeFi services, blockchain analytics firms, and other virtual asset service providers to block transactions with or derived from addresses TraderTraitor actors are using to launder these stolen assets.
A list of addresses associated with this activity is available here: fbi.gov/investigate/cyber/al…
OriginTrail Developers retweeted
AI shouldn’t just be used to boost productivity or make money. It must also protect us from all the risks online and on-chain.
With Guardian by @Umanitek, now available on Claude, over 100 million users will be able to create verifiable proofs using @origin_trail DKG.
Fake accounts, deepfakes, scams... Now more than ever, we need projects like @umanitek that aim to change the way the internet works and enable everyone to use it safely.
This makes me very optimistic about technology. After many years on-chain and partnerships with Web2 and institutional players, it is now the general public who will have access to the DKG @origin_trail revolution.
Find out here
claude.ai/directory/umanitek…
Humanity has already had its first contact with AI, and we lost.
On the @ForbesParaguay podcast, our chairman @ChrisRynning explains that it wasn’t robots. It was the social media algorithm.
Now comes second contact: AI competing not just for our attention, but for our trust.
“We’re the mice in the biggest social experiment in history.” 🎙️
I've been using Guardian with @claudeai for the last week and it works GREAT!
Used Guardian tools in different sessions where existing context was useful to make evidence and takedown decisions, I've set up scheduled tasks using Guardian data, ran serious tasks like designing counter-intelligence plans and less serious ones creating an in-chat game to browse threats.
@umanitek + @origin_trail + @claudeai,
set up in 1 min.
Your Claude can now protect your name.
Guardian works with @claudeai and its 100M+ monthly users. Ask Claude to:
→ find deepfakes, fake accounts and harmful content
→ create verifiable evidence on the @origin_trail DKG
→ request takedowns
Setup takes under a minute.
OriginTrail Developers retweeted
The @umanitek Guardian protects people from AI harms - traverses the social web, builds a giant real-time knowledge graph of findings, detects deepfakes, fake accounts etc and protects you by reporting them while you sleep. Now available in @claudeai too
Built on @origin_trail
Your Claude can now protect your name.
Guardian works with @claudeai and its 100M+ monthly users. Ask Claude to:
→ find deepfakes, fake accounts and harmful content
→ create verifiable evidence on the @origin_trail DKG
→ request takedowns
Setup takes under a minute.
Like saying owning your own well is wasteful when you could buy Nestlé bottled water for life.
No worries, Sam. For the memory that matters most, your AI's context, there's the @origin_trail Decentralized Knowledge Graph.
It runs on your own machine, and you own it.
OriginTrail Developers retweeted
🛡️ With @umanitek Guardian, Claude's 100M+ monthly users can now create verifiable evidence on Decentralized Knowledge Graph (DKG).
Ask @claudeai to find who's impersonating you. The evidence pack goes on the DKG first, then the takedown request.
Trust the source.
Your Claude can now protect your name.
Guardian works with @claudeai and its 100M+ monthly users. Ask Claude to:
→ find deepfakes, fake accounts and harmful content
→ create verifiable evidence on the @origin_trail DKG
→ request takedowns
Setup takes under a minute.




















