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This is one of the latest achievements of the Dusk Network (@DuskFoundation) and brings internal privacy features to an EVM-compatible environment.

Hedger is a privacy engine specifically designed for the DuskEVM execution layer. It operates through an innovative combination of Zero-Knowledge Proofs (ZKPs) and homomorphic encryption (based on ElGamal ECC) technologies. This enables confidential transactions: your balances and transfer amounts remain hidden from everyone, but are open for regulatory audits and compliance when necessary.

For most of crypto’s history, blockchains optimized for execution.
They moved value, settled transactions, and finalized state. Speed, throughput, and fees dominated the conversation. Entire ecosystems competed on marginal performance gains.
That era is over.
Execution is now cheap, fast, and abundant. Rollups, Layer 2s, app-chains, and parallel execution have flattened the landscape. The market has largely converged on its execution winners. Performance will continue to improve, but it no longer changes what blockchains fundamentally enable.
What changes things now is intelligence.
More specifically, agents are embedded directly into real workflows.
This shift is already visible. Tools like Claude and ChatGPT are no longer just prompt interfaces. They have become operational surfaces. On top of them, agents are appearing everywhere: monitoring positions, coordinating tasks, summarizing governance, managing workflows across protocols, and operating continuously rather than session by session.
Once systems begin making decisions, execution alone stops being sufficient.
Consider a DeFi agent managing your yield strategy. Today, it might optimize allocations based on your instructions. Two days later, it asks for your risk tolerance again. Next week, it treats a protocol you explicitly avoid like a viable option. The agent isn’t getting dumber. It just never remembered in the first place.
That’s not a product gap. It’s a structural failure.
The moment agents are trusted to act continuously, reuse context, and operate across tools, stateless intelligence stops scaling.
Almost all of these agents share the same weakness. They are stateless where it matters.
Context lives in prompts, short-term sessions, hidden vector stores, or private databases. Knowledge resets between tools. Memory fragments across workflows. Agents can feel impressive in the moment, then forget everything that made them useful minutes later.
The bottleneck is not intelligence. It is context.
An agent without persistent context is not meaningfully intelligent, no matter how capable the underlying model appears. Without durable memory, information resets, domain knowledge fragments, and behavior never compounds. The hard problem is not generating outputs. It is controlling how information flows, how memory persists across tools and time, and how knowledge accumulates rather than evaporates.
This is not an inconvenience. It is a ceiling.
You cannot build genuinely capable agents without a durable, precise, reusable context. You cannot compose workflows if every step forgets what the previous one knew. You cannot build intelligent applications if intelligence disappears between sessions.
For years, AI x crypto systems worked around this limitation instead of addressing it. Intelligence ran off-chain. Decisions were made elsewhere. The blockchain executed outcomes. That abstraction breaks the moment agents are expected to operate continuously, coordinate across systems, or act on behalf of users over time.
Why did the agent do that? What did it know? Which context mattered?
These are not regulatory questions first. They are product questions. They determine whether an agent feels smart or brittle, useful or unpredictable.

Yes, frontier models now offer memory features. But that memory is ephemeral, siloed, and controlled by centralized providers. Agents operating across protocols, chains, and tools need memory that’s portable, verifiable, and owned by users, not platforms locked behind API terms of service.
This is where blockchain stops being optional. Onchain memory isn’t just about persistence. It’s about provenance. When agents act autonomously, users and protocols need to verify: What did this agent know? When did it learn it? Which context shaped this decision? Without verifiable memory, agents remain black boxes. With it, they become auditable, composable, and trustworthy.
Agents require memory.
At Vanar, we stopped asking how to make blockchains faster or cheaper. Instead, we asked what agents actually need in order to improve over time.
The answer was not more compute. Not better prompts. Not bigger models.
It was a memory.
Not logs or transcripts, but semantic memory: structured, reusable knowledge agents can reason over. Preferences, constraints, learned behavior, and historical signals. The kind of context that makes an agent feel hyper-personalized rather than generic.
When memory becomes durable, intelligence compounds. Agents stop starting from zero. Workflows become composable. Applications become meaningfully adaptive.
So we built infrastructure where memory is a first-class primitive.

The stack:
Neutron gives builders persistent semantic memory, allowing agents to become genuinely smarter over time instead of resetting on every interaction.
Kayon reasons directly over that memory, enabling agents to behave consistently and explain decisions as they learn

Flows allow developers to design complex, multi-step agentic workflows without losing context between actions.
Axon sits above this as the application layer, making it possible to spin up full dApps without rebuilding memory, reasoning, or workflow logic from scratch.
Execution can remain wherever it already lives. The intelligence layer is designed to follow agents and workflows, not chains.
This is not theoretical.
Thousands of people already rely on persistent AI memory through products like MyNeutron. That usage surfaced a simple truth: once agents remember, adapt, and improve over time, going back feels broken
What emerged was not a new narrative. It was a necessity.
The future will not be defined by who executes fastest. It will be defined by who enables agents to learn, remember, and act coherently over time. Agents without memory are toys. Agents without context are brittle. Agents without provenance cannot scale beyond trust.
The intelligence layer exists because agents need it to grow up.

Execution chains are infrastructure.
Intelligence layers are leverage.
The intelligence layer isn’t coming. It’s already here. The only question is whether you’re building for it deliberately, or catching up later when your stateless agents hit their ceiling.

#Vanar $VANRY

Dusk enables universal access to financial markets by transitioning the entire financial ecosystem onto the chain. Our protocol allows individuals to invest and perform verification processes while also assisting institutions in issuing smart, compliant, and cost-effective real-world assets. Designed for seamless settlement and payment, Dusk plays a pioneering role in converting securities, cryptocurrencies, and digital currency.
$DUSK <t-9/>#Dusk

Walrus Sites are "web" sites that use Sui and Walrus as their core technology. It is one of the best examples of how Walrus can be used to create new and exciting decentralized applications. Anyone can create, distribute, and make a Walrus Site accessible to the world! Interestingly, this documentation itself is also available as a Walrus Site at https://docs.wal.app/walrus-sites/intro.html (if you're not already there).

#Plasma $XPL

Blockchain technology has revolutionized the digital economy with decentralized applications (dApps) and smart contracts. However, pioneering networks like Ethereum have faced limitations in scalability, transaction speed, and gas fees as usage has increased. Plasma stands out as an innovative Layer 2 solution that offers a fundamental solution to these issues.
What is Plasma?
Plasma is a scalability framework proposed in 2017 by Ethereum co-founder Vitalik Buterin and Joseph Poon. The core idea is to exponentially increase the capacity of the Ethereum network by offloading transaction load from the main chain to side chains ("child chains").