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What would you like to do with your Walrus Memory in Console? Read and search your memories, edit them, share them with another agentโor something else?
Weโve put together a short survey to understand what youโd use it for, which features matter most, and whatโs missing before youโd start using it. Your feedback will help us decide what to build first.
๐ Share your feedback: https://airtable.com/appoDAKpC74UOqoDa/shrZjtOek3V9LDbsn
Havenโt tried Console or Walrus Memory yet? Take a look here: https://console.walrus.xyz/ / https://memory.walrus.xyz/
Thanks for helping us shape it! 
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reminder to send your final submissions for #channel! There is still a good chance to win a prize 
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Please help us get featured higher on Product Hunt by upvoting our page. This is very important to get our product the most visibility
https://www.producthunt.com/products/walrus-console
Your data. More ways to build.
If you're building anything data-heavy, you know the tax. Your product accumulates files, context, and history that become your edge. But when apps and permissions are built around one provider, that data becomes harder to use anywhere else.
Walrus Console pairs familiar file management with an AI-ready data foundation. One place to store, protect, and connect your data, so you can put it to work across apps and AI tools and keep building on it as your stack evolves.
What you get:
๐ Portable โ use your data across supported apps, and connect AI tools and agents through MCP
๐ Programmable โ keep your data private by default with encryption
- Verifiable โ verify data integrity independently
No wallets, tokens, or storage renewals to manage. Sign in with Google or Apple and start free with up to 5 GB.
๐ Start for free: https://console.walrus.xyz/
Questions or feedback? Send them over in the Console channel. We're reading everything.
Decentralized storage for teams and individuals
Something big lands onstage at Sui Basecamp on Wednesday. ๐
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Most AI agents can be talked into things they should never do. This session, you find out how and build ones that can't be broken.
โ๏ธ How it works
Deploy 2 AI defenders on RedSentinel (Sui). Pick "Unbreakable Agents - Walrus" and set 0 Fee Per Message
Attack at least 3 other defenders with 5+ distinct attempts (prompt injection, social engineering, jailbreaks)
In the last 24h (Oct 19 to 20), try to break your own surviving defenders for bonus points
Register via the form
You score both ways: breaches you land plus how well your defenders hold. Attack fees are sponsored, so no SUI is needed to attack. Every attack is stored on Walrus as a public AI security dataset.
๐ฏ Watch for bounty defenders from the Walrus and RedSentinel teams. Harder to crack, worth more.
๐ $1,500 WAL prize pool
Leaderboard: $350 / $250 / $150 / $50 / $50 / $50
Bugs & Improvements: 3 ร $100
Best Promotion: 3 ร $100
๐ Found a bug? You can report it without a full submission: https://airtable.com/appoDAKpC74UOqoDa/shrKhoRfbKzH11N9Z
๐ Oct 5 to 20 ยท Winners announced Oct 27
Everything you need: https://thewalrussessions.wal.app
Start here: https://app.redsentinel.xyz
Register: https://airtable.com/appoDAKpC74UOqoDa/shrAaKvHZr1zgAiLR
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The team at the Walrus Foundation wants to hear from you, about what you are building with Walrus Memory. Be that for a session, your own personal project or any solution you are using Walrus Memory for, finished or unfinished.
If you are interested in showing us post on #channel and we would be happy to comment and give you feedback
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Matterhorn is making Walrus Memory the default backend for agent memory on its platform. Project context, deployment history, audit results, and agent conversations persist across sessions and are shared across a team.
Check our latest blog: https://blog.walrus.xyz/matterhorn-walrus-persistent-memory-ai-workflows/
Matterhorn is storing its AI agents' project memory on Walrus, so developers building blockchain apps in natural language keep their context across sessions and teams.
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