walrus

with a gain of 1.41 percent in the last 24 hours The highest price in the last day was 0.1241 and the lowest was 0.1194 The trading volume shows that 2.98 million WAL have been exchanged and the total USDT value is 361567.92 This shows that there is some interest in buying and selling this coin
Looking at the charts the moving averages MA7 MA25 and MA99 are pointing slightly up which is a positive sign for traders It means the price may continue to rise if the trend keeps going Some people may see this as an opportunity to buy on a small dip or they may want to hold their WAL for a bigger gain later
Trading in crypto is always a mix of patience and timing Right now WAL is showing signs of life and small increases in price and volume can attract more attention Traders who have been watching may feel encouraged by the steady growth The volume increase suggests that more people are entering the market which can sometimes push the price higher in the coming hours or days
Many traders consider different strategies Some like to buy when the price is lower and wait for it to go up while others prefer to hold what they have and see if the coin will reach higher levels before selling The decision depends on your goals and how comfortable you feel with risk WAL is still relatively small and active trading can create fast changes in price It is good to keep an eye on the market and see how it moves over the next few days
Watching simple trends like price changes and trading volume can help understand what is happening in the market The small upward movement in WAL is a positive sign but nothing is guaranteed Crypto can move quickly in any direction Being aware of the numbers and understanding what they mean for you as a trader is important It is also smart to decide in advance how much you are willing to invest and what your plan is if the price goes up or down
Right now the WAL market shows some optimism Traders see the rise and the higher volume as signs that people are interested in buying Some may feel this is a good time to add more WAL to their portfolio Others may feel it is better to hold and wait for a bigger increase There is no right or wrong choice only the strategy that fits your own comfort level and goals
In the end WAL is moving in a positive direction and watching the charts every day can give clues about the next steps The price at 0.1226 and the small gains show that activity is happening and traders are paying attention Decisions about buying or holding should be based on your own plans and careful observation of how the market behaves.
#walrus @Walrus 🦭/acc $WAL

to bring memory support to decentralized AI agent systems. This step helps AI agents remember things over time instead of starting fresh again and again. Walrus is now the default memory layer for elizaOS V2. This gives developers a safe and long term way to store and use data for AI agents.
elizaOS is an open source platform that helps people build and manage AI agents. With Walrus built into the system developers can give their agents real memory. This memory can be shared across many agents and many tasks. Walrus is already part of the elizaOS signup flow. New users can try memory features right away using limited free credits. This makes it easy for beginners to start without stress.
One big problem for AI agents is how to store data in a simple and trusted way. Walrus helps solve this by acting as one common data layer. It can store text images and other files in one place. Every time data is uploaded Walrus creates a proof on the Sui network. This proof shows that the data exists and has not been changed. This helps people trust where the data comes from.
Because of this developers can store and share data in a fair and open way. AI agents can read past memory check sources and work together better. Walrus makes it possible for many AI agents to use the same data without fear of loss or misuse. This is very useful for long running tasks and group AI work.
Rebecca Simmonds from the Walrus Foundation shared that memory is one of the hardest parts of AI agents. She explained that agents need memory that lasts and can be trusted. With this work with elizaOS developers can now store and share memory safely across many workflows.
The goals of this work are clear. Walrus becomes the main data layer for elizaOS V2. Developers can manage agent memory from day one. Real use cases and examples will help more people learn and build. Simple guides and ready templates will make learning faster. This also shows that Walrus can work beyond just one chain.
Shaw Walters the founder of elizaOS said that Walrus gives the memory layer needed for larger AI systems. Developers no longer need to worry about broken data tools. They can focus on building smart agents that help people in real life.
This work also supports Seal and Nautilus. These tools help with data privacy and safe access. Together they let developers choose how data is used shared or sold. This creates the base for a fair AI data economy.
As more AI products launch later this year Walrus is set to become a common data layer for AI agents. It brings storage safety and trust together. This marks an important step toward a future where AI systems are open fair and reliable.
#walrus @Walrus 🦭/acc $WAL

in the Sui ecosystem. This move is an important step as online fraud and fake accounts continue to grow with the rise of AI tools. Humanity Protocol wants to help people and apps know who is real while keeping personal data safe.
Humanity Protocol is a privacy focused identity network. It helps confirm that each user is a real and unique person without sharing private details. Before this change the project stored data on IPFS. Now it has moved millions of user credentials to Walrus and brought them into the Sui ecosystem. Today more than ten million identity records are stored on Walrus. The plan is to grow this number to over one hundred million by the end of 2025. Walrus is also expected to store more than three hundred gigabytes of data by that time.
The goal of Humanity Protocol is to build an open identity graph. This means users can prove their membership trust and achievements across Web2 Web3 and real life. Users stay in control of their own data at all times. Companies can also use this system as a ready to use identity service. This helps them reduce fraud and fake users without collecting personal details.
A key focus of Humanity Protocol is stopping AI abuse. Fake accounts deepfakes and bot attacks are becoming common problems. Humanity Protocol uses palm scan checks to confirm that each person is unique. Once verified the identity record is stored on chain so it cannot be changed. This creates a strong base of trust while still protecting user privacy.
Walrus plays a big role in this setup. With Walrus the system can issue identity records in real time and at large scale. It also allows smart access rules so users can choose what data to share and when to revoke it. The system supports identity checks on Sui and other chains. Developers can use this trusted data layer to build apps that resist fake users such as DeFi tools and AI services.
The Walrus Foundation shared that AI brings both speed and risk. While AI can help daily life it can also be used for scams and attacks. Humanity Protocol is built with this risk in mind. The partnership aims to support safer AI use while keeping people in control of their data.
The founder of Humanity Protocol said Walrus gives the speed and scale needed for global use. As more apps adopt user owned identity systems this partnership helps meet growing demand in a safe and smooth way.
In the future Humanity Protocol plans to expand further within the Sui ecosystem. It will use Sui for cross chain identity checks and Seal for secure storage with user controlled access.
Sui Network is a layer one blockchain built to support the next wave of Web3 users. It uses the Move language and is designed to scale easily so developers can build fast and low cost apps.
#walrus @Walrus 🦭/acc $WAL

Some projects are built for quick attention. Others are built to improve with time. WAL feels like it belongs to the second category.
By focusing on solid infrastructure and dependable data, it’s creating something that doesn’t rely on trends to stay relevant. As usage grows and demands increase, that kind of design usually shows its strength.
In Web3, projects that age well often become the most trusted ones.
Just a thought. No advice.
#WAL #Walrus $WAL @Walrus 🦭/acc

Walrus will now work as the data layer for Myriad. This step is taken to make prediction markets more open and easy to trust.
Myriad is a Web3 prediction market platform. It allows people to trade ideas news and future results in real time. Users can take part in markets that are based on current events and shared views. The goal of Myriad is to let people use real information to make better choices.
Walrus is known for storing data on chain in a way that anyone can check. Before this partnership Walrus already worked with Decrypt. Decrypt content was stored on chain so readers could confirm it was real and unchanged. Now Myriad is building on that work. It will use Walrus to store market data news and results in a clear and open way.
With this setup Myriad users can see news and market chances at the same time. Decrypt text and video content appears inside the Myriad platform. This helps users understand what is happening before they make a prediction. It also helps them act faster when news breaks.
Rebecca Simmonds from the Walrus Foundation said this partnership opens new ways for people to use prediction markets. She explained that real time news combined with trusted data helps users make smarter choices. With Walrus every market story and final result is stored on chain. This makes the data open checkable and ready to be used by other tools like AI and DeFi apps.
Since launch Myriad has already passed five million dollars in on chain prediction trades. The protocol can also be used by other platforms. Teams can use Myriad as a white label product. They can build their own front end with an API or use an SDK to connect directly to prediction markets.
Myriad CEO Loxley Fernandes shared his view on the future. He said that prediction markets are becoming a normal part of finance. Information and outcomes are becoming things people can trade. He believes this future will live fully on chain. Working with Walrus helps Myriad avoid old storage problems and keeps data open and fair. This fits with the long term mission of the project.
Myriad also plans to explore more tools from the Sui system. One example is Seal which focuses on private data control. These tools can help Myriad grow while keeping users safe.
About Sui Network
Sui is a layer one blockchain built from the ground up. It is designed to support the next wave of Web3 users. Apps on Sui use the Move smart contract language. The network is fast low cost and built to scale. It helps developers build apps that feel simple and smooth for daily users.
#walrus @Walrus 🦭/acc $WAL

Some projects rely on constant visibility to stay relevant. Others grow because people actually use them. WAL feels aligned with the second approach.
When data works smoothly and systems stay dependable, usage grows naturally. No heavy promotion needed — just consistent performance over time.
That kind of growth isn’t flashy, but it’s sustainable. And in the long run, it’s usually the growth that matters most.
Just sharing a perspective. No advice.
#WAL #Walrus @Walrus 🦭/acc $WAL

The current price is around 0.1213 and it is slightly higher than yesterday. Buyers are active and the market looks calm but positive. The price moved up after holding well above the 0.1169 support level. This level acted as a base and helped the price bounce upward with confidence.
During the last twenty four hours the price stayed within a clear range. The high was near 0.1216 and the low was close to 0.1161. This range shows that sellers tried to push the price down but buyers stepped in each time. Trading volume also increased which often means stronger interest from the market. More people are watching WAL now and that usually brings more movement.
On the chart the short term trend looks positive. The fast moving average and the medium moving average are starting to line up in a good way. This often happens when a trend is trying to change from slow to strong. It does not guarantee a big move but it does show growing strength. Price staying above these averages is a good sign for short term traders.
The most important level to watch right now is 0.1216. This level has stopped the price before. If WAL can move above it and stay there the market may see more upside. A clean break above this level can attract more buyers who were waiting for confirmation. When many traders see the same level break it often leads to faster moves.
For those thinking about a trade patience is key. One simple idea is to wait for a clear close on a small time frame above 0.1213. This helps reduce risk and avoids chasing sudden spikes. If the price moves up without a proper close it can fall back just as fast. Waiting for confirmation is often the safer choice.
Risk control is also important. A stop level below 0.1198 can help protect against sudden drops. No trade is perfect and the market can change direction at any time. Using a stop helps keep losses small and emotions under control. This is especially important in fast moving markets.
Overall WAL is showing positive signs. Support is holding and momentum is slowly building. As long as the price stays above key support levels the outlook remains constructive. Traders should stay alert and react to what the chart shows rather than guessing. Slow and steady decisions often work better than rushed ones.

When someone first called Walrus “boring,” I took it as a compliment. In crypto, boring usually means reliable. For years, decentralized storage has existed in an awkward middle ground—important in theory, but not trusted enough to build critical systems on. Data often lived off-chain, behind gateways or on semi-temporary servers, and the industry somehow accepted that as normal. My first impression of Walrus wasn’t hype or skepticism—it was curiosity. The more I studied it, the more its restraint felt deliberate rather than cautious.

Walrus starts with a simple, often unspoken premise: decentralized applications already rely on huge amounts of data. Ignoring that has weakened systems, not purified them. Instead of forcing everything on-chain or overloading loosely incentivized networks, Walrus defines a focused role: making large data objects reliably available over long periods, under adversarial conditions, without trusting a single party. No grandiose promises, no cost competition with hyperscale clouds—just durability, retrievability, and accountability.

Walrus works hand-in-hand with Sui, a platform designed for complex, state-heavy, and parallel applications. Where Sui expects objects to change and execute concurrently, Walrus ensures that data persists independently of any single actor. Availability is embedded into the same trust boundaries developers already rely on. This isn’t exclusivity—it’s coherence. Systems fail less when components are built to anticipate each other.

Technically, Walrus doesn’t reinvent the wheel. It uses erasure coding to split large files into fragments and distributes them across a decentralized network. The innovation isn’t novelty—it’s acceptance. Nodes will go offline, some will underperform, and network churn is expected. As long as enough fragments remain, data is recoverable. The system degrades gracefully instead of collapsing catastrophically—a principle borrowed from mature engineering disciplines but rare in crypto, where ideal conditions are often assumed.

Walrus also enforces reliability in a clear, pragmatic way. The WAL token isn’t for speculation or governance pageantry. It’s a tool for accountability. Storage providers stake WAL, earn rewards for serving data correctly, and get penalized for failures. The incentives are simple: deliver data, get paid; fail, lose stake. No social games, no relying on altruism—just rational, economically enforced behavior.

Having observed infrastructure projects stumble for years, I’ve learned to be wary of flexibility without limits. Ambiguity kills reliability. Walrus deliberately narrows its promises so it can deliver on them. That mindset reflects mature engineering culture more than speculative marketing hype.

Looking forward, the questions aren’t about the need for decentralized storage—they already exist—but about scalability and discipline. Can incentives remain balanced as the network grows? Will operators stay committed through bear markets? Can decentralization hold as demand rises? Walrus doesn’t pretend to have all the answers—it structures the system so these challenges can be met without redesigning everything.

In the broader landscape, Walrus navigates the trilemma of availability, decentralization, and cost with clarity. Availability comes first. Decentralization is enforced economically. Cost is managed, not obsessively minimized. It’s not perfect for purists, but it aligns with real-world application needs.

The early signs are promising. Within the Sui ecosystem, builders increasingly assume persistent storage rather than designing around its absence. That subtle shift, visible in architecture diagrams and product decisions, is the hallmark of infrastructure moving from novelty to necessity.

No system is guaranteed to succeed in crypto. Markets are cyclical, incentives get tested, usage fluctuates, and competitors appear. But Walrus has something rare: alignment between promises and capability. It works now, within clear boundaries, without relying on speculative future upgrades.

Ultimately, Walrus feels less like a flashy breakthrough and more like a correction—a reminder that decentralization without reliable memory is incomplete. By focusing on the unglamorous work of keeping data available, Walrus proves that meaningful progress doesn’t always look like speed or scale. Sometimes it looks like fewer assumptions, clearer incentives, and systems that just keep running when no one is watching. And that kind of progress is often the kind that endures.

@Walrus 🦭/acc #walrus $WAL

Trust isn’t created in a day. It comes from systems that work consistently, even when no one is watching. WAL feels focused on earning that trust the right way — through reliability, structure, and steady progress.
There’s no rush to impress. Just a clear effort to make things work properly behind the scenes. And over time, that approach usually speaks louder than words.
In Web3, trust built slowly often lasts the longest.
Just a thought. No advice.
#WAL #Walrus $WAL @Walrus 🦭/acc

ecosystem during an RWA hackathon. At that time Sui had another hackathon running. Even though the schedule was tight and I had never written Move before I decided to join anyway.
The hackathon ran from November sixth to November twenty third in twenty twenty five. It was fully online and open to teams from all over the world. The deadline was first set for November sixteenth and later extended by one more week which helped a lot.
Walrus is a decentralized data storage tool built in the Sui ecosystem. It is one of several core tools together with Seal zkLogin and Nautilus. Sui is still a young chain but its base layer is solid. There are not many applications yet which makes it interesting for builders.
One important thing is that this hackathon did not force teams to use Walrus. There were different tracks to choose from. Even though Walrus and Seal come from Sui they can also work with other blockchains. You still need some basic Sui knowledge but not much. I spent a few hours reading the documents and that was enough to get started.
This was my first fully online hackathon. In the past I usually joined with a team that was prepared in advance and we worked together on site for a few days. This time the hackathon had already started when I looked for teammates. The idea came from discussions with a teammate who has an accounting background. I was the only one with Web3 experience in the team.
The problem we wanted to solve was earn out agreements in mergers and acquisitions. In simple words a buyer does not want to pay the full amount at once because they worry the seller may stop performing after the deal. Part of the payment is delayed and only released if certain goals are met. This is a trust problem.
We decided to use blockchain to reduce this trust issue. We combined Walrus and Seal to build a system where only related parties can see sensitive data. These roles are buyer seller and auditor. The reason to use blockchain is to make the data impossible to change.
Walrus stores the data and Seal handles encryption and access control. We deployed a main contract on Sui and created a deal object for each case. The buyer uploads encrypted files to Walrus. Anyone can download them but only approved roles can decrypt them through Seal.
The rest of the system like auditing and goal checks was simple. I thought about using Nautilus to prove the calculation process but it could not guarantee the input data was correct so we dropped that idea.
We finished the project in about one week with help from an experienced Web2 frontend engineer. This was the most complete project I have ever submitted in a hackathon. There were two hundred seventy nine projects in total and only a small number of winners.
This was my first Sui hackathon. I learned how to write Move contracts and how to use tools in the ecosystem. That alone made the experience worth it. Now I will wait for the results and share an update later.
#walrus @Walrus 🦭/acc $WAL

From the early days of the internet to the rise of Web2 and now the new age of Web3 and artificial intelligence technology has always moved forward through builders and creators. Hackathons have played a key role in this journey by giving developers a space to test ideas learn fast and build real products. Today a new chapter begins as the Walrus Haulout 2025 Global Hackathon officially starts.
Walrus Haulout 2025 invites developers from around the world who are curious about the Web3 data layer. The event offers a global stage strong technical support and generous rewards. Everything is ready for builders who want to turn ideas into working solutions.
Walrus is the core technology behind this hackathon. It is a decentralized storage and data availability protocol designed for large binary files. Walrus allows low cost storage of unstructured content while keeping data available and reliable even during attacks or failures. This makes it a strong foundation for next generation applications.
Walrus works by splitting data into multiple pieces and storing them across distributed nodes. Even if some nodes fail the data can still be accessed without disruption. Walrus is deeply integrated with the Sui ecosystem which allows developers to interact with data easily through simple tools. Smart contracts on Sui are used to verify data availability and validity which adds another layer of trust and security.
Beyond one ecosystem Walrus also supports multiple blockchains. This makes it easier for developers to build applications that work across chains and unlock new data driven business models. The goal of Walrus is simple. Let data move freely securely and with trust while creating real value for users.
The Walrus Haulout 2025 Hackathon is designed as the first major exploration of this new data world. Developers are encouraged to build and experiment on this open foundation.
The hackathon features four main tracks. The first track focuses on data economy and markets where builders can create decentralized data marketplaces with clear ownership pricing and incentives. The second track explores the connection between artificial intelligence and onchain data to power smarter applications and systems. The third track centers on verifiable authenticity including media verification and data trust solutions. The fourth track focuses on privacy and security using advanced tools to protect users and their data.
Each track will reward the top three projects with cash prizes and there are additional awards for outstanding technical execution. The total prize pool exceeds one hundred thousand dollars.
Participants can join as individuals or teams by registering on the official platform and submitting their projects before the deadline. Projects usually include code a demo and clear documentation.
Community support is also a key part of this event. Builders will have access to learning materials discussion groups live online sessions and extra community rewards. This support helps participants learn faster connect with others and improve their chances of success.
Walrus Haulout 2025 is more than a competition. It is an opportunity to build practical tools explore new ideas and shape the future of decentralized data. Developers who join today may help define how data is stored shared and trusted tomorrow.
#walrus @Walrus 🦭/acc $WAL

In crypto, it’s easy to chase what’s popular. Harder to stay focused on building something that actually lasts. WAL feels like it’s choosing the second path.

Instead of reacting to every trend, the emphasis seems to be on strengthening the core — making data useful, dependable, and ready for real applications.
Projects that build this way may move quietly, but they usually move with purpose.
Just sharing a grounded take. No advice.
#WAL #Walrus $WAL @Walrus 🦭/acc

Today WAL is up 3.51 percent and is trading at 0.1210 USDT The price has been moving up steadily and looks strong on the 15 minute chart The moving averages show that MA7 and MA25 are above MA99 which is a good sign for bullish momentum
The key levels to watch are 24 hour high at 0.1217 and 24 hour low at 0.1165 The trading volume is rising with 1.35 million WAL being traded around 160k USDT This shows that many people are active in the market and the token is getting attention from traders and holders alike
Watching the charts it is clear that WAL is gaining interest and momentum Investors are now deciding if they should buy the dip or hold for the next breakout Many traders look for patterns and moving averages to guide their decisions The current alignment of the averages suggests that the short term trend is upward and buyers are in control
Market sentiment is positive and the activity in the token is increasing This can create opportunities for those who are patient and those who are ready to act quickly It is important to observe price action and volume before making decisions Jumping in without understanding the trend can be risky but watching closely can provide an advantage
Some traders prefer to buy when the price is lower and hold their position waiting for a rise Others may enter after a breakout looking for short term gains Both strategies have their place and it depends on personal preference and risk tolerance WAL shows signs that both strategies could be considered depending on how the market moves in the next few hours
It is also important to keep track of key levels because these can act as support or resistance Watching the 24 hour high and low can give clues on where the price might move next Traders often use these points to set their goals and limits
Overall the market for WAL is active and the token is showing strong movement today The bullish trend is supported by moving averages and growing volume This gives confidence to traders that the token could continue upward in the near term
Everyone should take time to plan their trades and set limits according to their comfort level and strategy Jumping in blindly can lead to losses but staying alert and watching the trend can create opportunities for gains WAL is attracting attention and it will be interesting to see how it moves in the coming hours
The decision to buy the dip or wait for the breakout is personal and should be made carefully Watching the price action and keeping an eye on volume and key levels is the best approach The token is showing potential and today it has made a noticeable move which can create excitement among traders
#walrus @Walrus 🦭/acc $WAL
#Crypto #Trading #Altcoin #Bullish

In Web3, big promises are easy to make. Solid basics are harder to build. WAL feels focused on getting those basics right — data, structure, and reliability.

When the foundation is strong, growth becomes natural. There’s less need to push narratives and more room to let real usage speak.
Projects built this way don’t rush results. They earn them.
Just a perspective. No advice.
#WAL #Walrus $WAL @Walrus 🦭/acc

AI agents are systems that can work on their own and finish tasks step by step.
This article explains how they work and why they need shared data systems to grow.
Many people feel frustrated when using normal AI helpers.
You may ask an AI to find sales files from last year and compare them with this year.
The task sounds easy.
But the AI often finds wrong files or misses key details.
You still need to read the files check numbers and draw results by yourself.
AI agents work in a different way.
They do not only search for information.
They can read data understand meaning and finish full tasks on their own.
They can work across many tools and data sources.
They connect steps without asking the user each time.
This sounds useful but there is a big problem.
AI agents need a lot of data to work well.
They need training data memory and past records.
If the data is wrong the result will also be wrong.
When an agent works alone for many hours bad data can lead to bad decisions.
This is why a system like Walrus is important.
What Is an AI Agent
An AI agent is software that can plan and act without being told every step.
You give it a goal and it finds the steps on its own.
Normal AI waits for a question and then stops.
An agent keeps going until the task is done.
Most AI agents share these traits.
They can work alone without help.
They work toward a clear goal.
They learn from past actions and improve over time.
These traits allow them to handle long tasks.
Real World Uses of AI Agents
AI agents are already used in real work.
In finance they watch markets and react to changes.
They learn from past trades and improve results.
In customer support they remember past talks with users.
They respond based on history not fixed replies.
In content safety they review large amounts of material.
They adjust rules based on events and community needs.
All these uses depend on data that can be trusted and reached at any time.
Why Shared Data Matters
Most AI agents today depend on cloud storage run by one company.
This creates problems.
If the service goes down the agent stops working.
Users do not control where data is stored.
There is no clear proof that data was not changed.
Walrus solves this by spreading data across many nodes.
No single group controls it.
Data stays available even if some parts fail.
Walrus offers three key benefits.
Data is always reachable.
Data can be checked to prove it was not changed.
The system can grow as needs increase.
AI Agents Built With Walrus
Several platforms already use Walrus.
Talus lets AI agents work directly on the Sui network.
Agents can read data without delays.
elizaOS uses Walrus as memory for many agents working together.
Agents share history and work as a group.
Zark Lab helps agents organize and search content using normal language.
FLock lets communities train AI together without sharing private data.
Conclusion
AI agents mark a shift from tools that answer questions to systems that do real work.
They plan decide learn and act on their own.
Their success depends on the data they use.
That data must be safe clear and always ready.
Walrus provides this base.
The future of AI agents will be shaped by systems like it.
About Sui Network
Sui is a modern public blockchain built for large scale apps.
It uses the Move language and supports fast low cost use.
It aims to support the next wave of users in web based systems.
#walrus @Walrus 🦭/acc $WAL