
AI agents were the first step. The bigger opportunity is what happens when you give those agents a company around them, with a team, memory, products, customers, revenue and eventually even its own token.
That is the idea behind *Vanar Foundry*. Here’s how an AI Organisation actually comes to life 🧵
It's time for you to build your 1 person AI Org! Look at the showcase to see whats possible!
onvanar.com/showcase
One founder. A whole organization.
Vanar Foundry is LIVE!
Build an AI Organization around your idea, your expertise or the business you already run. Give your AI team the knowledge and direction to turn customer requests into useful work, from research reports and marketing campaigns to support and business operations.
Today, Genesis begins with an initial group of up to 250 selected whitelisted users, each receiving 5,000 free credits to start building.
This first group will help us test real workflows, gather feedback and improve Foundry before public access opens.
Over the coming days, we’ll show you what’s possible, how it works and how to prepare your own Organization.
Welcome to Foundry.
The biggest impact of AI won’t be fewer employees. It’ll be needing almost none to start.
@McKinsey asks why the agentic organization isn’t here yet. mckinsey.com/capabilities/pe…
I'm asking what happens when it starts with one person. View article
Agents got the funding headlines this week. Clay, Lightfield, another wave of 'agentic' tooling. Useful, but Incomplete.
A business isnt a task queue. It's roles, memory, support, reputation + decisions trees that compound.
Last cycle tokenised agents. Next is whole Orgs.
Attended a @SOAS graduation this week. The President and the Chair both said AI can't have the graduates' unique knowledge, their nuance or their passion. They're right. AI should pay for all three, per question, for years.
Told you - build your own onvanar.com
LFG!!
The New Home Base of VANRY ✈️
@Vanarchain protocol-owned liquidity has migrated from the competition to Aerodrome.
Why? On Aerodrome, protocols can stake liquidity to earn maximally while contributing to the top pools by volume on Base.
Swap & LP $VANRY today.
Binance will Delist ACX, HFT, PIVX, PYR, VANRY, VIC on 2026-08-17
👉 binance.com/en/support/annou…
INTRODUCING VANAR ORGS!
The chain race is no longer the game.
The next era is not about who runs the rails.
It is about what can be built, launched, hired, backed, and trusted on top of them.
Check the video, read the thread or visit onvanar.com to learn more!
A year of heads-down building, pieces of it already open-sourced, and the use case they were always for. This is the part I've wanted to talk about for months.
This is the new not your keys not your coins.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: anthropic.com/news/fable-myt…
Solid map of the stack from @khalaresearch x @0xSammy
The 4th layer the report circles but doesn't discuss: permissioning.
x402 = how to pay
ERC8004 = who you are
ERC8183 = what you agreed
xBPP = what you're allowed to do
Open spec shipped last week → xbpp.org
In 1997, HTTP status code 402 was reserved for 'Payment Required'; a native payment layer built into the web itself
For almost 30 years, nobody could make it work
There was no digital cash and no settlement layer that could handle sub-cent transactions. The web defaulted to advertising and credit card checkout flows instead
Stablecoins and Layer 2s changed that. x402 finishes what HTTP 402 started; payment as native to the web as loading an image
Most people looking at agentic commerce see one maturity cycle, but there are two:
1) The retail narrative is approaching its peak; CT is buzzing, ecosystem maps are proliferating, every protocol is announcing x402 compatibility. That will correct
2) The institutional adoption curve is on a completely different trajectory. For this layer, the trough already happened in 2025
Stripe, Visa, AWS, Google, Coinbase, Circle and Cloudflare are shipping production infrastructure because their own internal analysis on projected agent transaction volume justify it
In our x402 report, we map the protocol architecture, the agentic stack, the institutional landscape, and assess where the value could accrue
The full report is in the next post below:
We’re not watching the agentic space evolve.
We’re building the layer it’s missing.
Agents can now transact across x402, onchain, and APIs.
Without a shared policy layer, none of it scales safely.
That’s why we open-sourced xBPP.
Learn more at xbpp.org
Congrats to the whole @Zai_org team. GLM is making major moves..
Introducing GLM-5.1: The Next Level of Open Source
- Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.
- Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations.
Blog: z.ai/blog/glm-5.1
Weights: huggingface.co/zai-org/GLM-5…
API: docs.z.ai/guides/llm/glm-5.1
Coding Plan: z.ai/subscribe
Coming to chat.z.ai in the next few days.
Excited to be part of this seeing amazing AI builders!
UK AI Agent Hackathon Ep.4 x OpenClaw Demo Day!
xitter.cf/i/broadcasts/1RJZzjwvo…
Was great to be part of the AI agent hacks session at @imperialcollege - insightful sessions and great energy by @Thom_Wolf @steipete @flock_io @Zai_org @ysiu and more for the next generation of AI builders!
Great framework. One missing layer: memory. Bots hiring bots, reputation, economic coordination - none of it works if agents forget every interaction the moment it ends. Identity tells you who. Memory tells you why. Ethereum needs a persistent context layer to make this real.
Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: vitalik.eth.limo/general/202…
This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical perspectives.
I am reminded of Toly's recent tweet that I should "work on AGI". I appreciate the compliment, for him to think that I am capable of contributing to such a lofty thing. However, I get this feeling that the frame of "work on AGI" itself contains an error: it is fundamentally undifferentiated, and has the connotation of "do the thing that, if you don't do it, someone else will do anyway two months later; the main difference is that you get to be the one at the top" (though this may not have been Toly's intention). It would be like describing Ethereum as "working in finance" or "working on computing".
To me, Ethereum, and my own view of how our civilization should do AGI, are precisely about choosing a positive direction rather than embracing undifferentiated acceleration of the arrow, and also I think it's actually important to integrate the crypto and AI perspectives.
I want an AI future where:
* We foster human freedom and empowerment (ie. we avoid both humans being relegated to retirement by AIs, and permanently stripped of power by human power structures that become impossible to surpass or escape)
* The world does not blow up (both "classic" superintelligent AI doom, and more chaotic scenarios from various forms of offense outpacing defense, cf. the four defense quadrants from the d/acc posts)
In the long term, this may involve crazy things like humans uploading or merging with AI, for those who want to be able to keep up with highly intelligent entities that can think a million times faster on silicon substrate. In the shorter term, it involves much more "ordinary" ideas, but still ideas that require deep rethinking compared to previous computing paradigms.
So now, my updated view, which definitely focuses on that shorter term, and where Ethereum plays an important role but is only one piece of a bigger puzzle:
# Building tooling to make more trustless and/or private interaction with AIs possible.
This includes:
* Local LLM tooling
* ZK-payment for API calls (so you can call remote models without linking your identity from call to call)
* Ongoing work into cryptographic ways to improve AI privacy
* Client-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assurance
Basically, the kinds of things we might also build for non-LLM compute (see eg. my ethereum privacy roadmap from a year ago ethereum-magicians.org/t/a-m… ), but for LLM calls as the compute we are protecting.
# Ethereum as an economic layer for AI-related interactions
This includes:
* API calls
* Bots hiring bots
* Security deposits, potentially eventually more complicated contraptions like onchain dispute resolution
* ERC-8004, AI reputation ideas
The goal here is to enable AIs to interact economically, which makes viable more decentralized AI architectures (as opposed to non-economic coordination between AIs that are all designed and run by one organization "in-house"). Economies not for the sake of economies, but to enable more decentralized authority.
# Make the cypherpunk "mountain man" vision a reality
Basically, take the vision that cypherpunk radicals have always dreamed of (don't trust; verify everything), that has been nonviable in reality because humans are never actually going to verify all the code ourselves. Now, we can finally make that vision happen, with LLMs doing the hard parts.
This includes:
* Interacting with ethereum apps without needing third party UIs
* Having a local model propose transactions for you on its own
* Having a local model verify transactions created by dapp UIs
* Local smart contract auditing, and assistance interpreting the meaning of FV proofs provided by others
* Verifying trust models of applications and protocols
# Make much better markets and governance a reality
Prediction and decision markets, decentralized governance, quadratic voting, combinatorial auctions, universal barter economy, and all kinds of constructions are all beautiful in theory, but have been greatly hampered in reality by one big constraint: limits to human attention and decision-making power.
LLMs remove that limitation, and massively scale human judgement. Hence, we can revisit all of those ideas.
These are all things that Ethereum can help to make a reality. They are also ideas that are in the d/acc spirit: enabling decentralized cooperation, and improving defense. We can revisit the best ideas from 2014, and add on top many more new and better ones, and with AI (and ZK) we have a whole new set of tools to make them come to life.
We can describe the above as a 2x2 chart. There's a lot to build!
Neutron x @openclaw
Join us on @binance as we get into our Ai infra , Neutron memory layer and Vanar on Openclaw!
Join us at 1PM UTC for a live @Binance Square AMA with our CEO @JawadVanar!
We’ll talk:
* Vanar’s AI stack: Neutron, Kayon, Flows
* Persistent memory for AI agents
* Neutron Memory API and OpenClaw builders
* What’s next for agent infrastructure
Link in the comments 👇




















