Walrus 🦭/acc Re-poster

Be sure to bookmark this upcoming session. Tomorrow, we are thrilled to present our next Builder AMA featuring the Founder of @wal_notes, @Edcriptofi. The live broadcast will focus on how they manage decentralized notes and utilize Walrus for their storage needs, alongside a real time question and answer segment.

We will be giving away exclusive merch to participants who submit the most engaging inquiries. To enter, simply share your thoughts in the [ama-questions] channel of our @discord.

The discussion takes place on Sept 2 @ 3 PM UTC.

Access the event and join the conversation via the Walrus Discord at https://discord.com/invite/walrusprotocol.

The month of August was exceptionally productive for our team. We successfully introduced verifiable AI trading capabilities, released fresh educational resources for Walrus Memory, and expanded the reach of $WAL. Notably, $WAL is now officially available on @Revolut. This major milestone broadens our accessibility, allowing 80M+ users throughout 40+ countries to interact with our token.

In partnership with @Astros_ag, we also debuted the Walrus Verifiable Trading Standard. This initiative was designed specifically to ensure that market data remains fully auditable as well as easily readable by machines. Alongside this launch, our documentation underwent a complete overhaul. We implemented a product-first navigation experience to help users seamlessly browse through information regarding Walrus Sites, Walrus Memory, and the core Walrus platform.

On the educational front, developers can now access three distinct tutorials we recently released. These guides provide detailed instructions for integrating portable Walrus Memory using Claude Desktop, Claude Code, and the TypeScript SDK. Furthermore, we published an extensive 4-part deep dive exploring the intricacies of context engineering and agentic memory.

Media appearances were another highlight of the month. Audiences tuned in to hear @KostasCryptos explain the fundamentals of verifiable infra during his features on @ThePaypers and the Starting Block podcast hosted by @TheBlockCo. Looking ahead to next month, our team will be present in Amsterdam for @HumanXCo. Additionally, remember to secure your tickets for Sui Basecamp, which takes place from Oct 7 to 8 in Singapore. If you require direct links to either of these upcoming events, simply drop a request in the comments section and we will gladly reshare them.

A staggering 4B paper documents currently flow through the $25T global trade industry, creating a severe and systemic vulnerability to document fraud.

To combat this widespread issue, @blockticity is stepping up by migrating over 1M authenticated records onto Walrus. These records account for more than $7.7B+ in actual real-world assets.

By replicating upwards of 15TB+ of trade evidence across five distinct commercial verticals, Blockticity empowers its partners with public, cryptographic proof of origin. At the same time, it guarantees that all sensitive commercial data stays completely secure.

For complete details, please check out the official announcement here: https://blog.walrus.xyz/blockticity-brings-7b-in-authenticated-trade-records-to-walrus-verifiable-data-platform/

Currently happening live in Lagos at @SuiHubAfrica, a group of more than 30 builders has united in person to study prompt design and develop projects utilizing context and Walrus Memory. By bringing the digital structure of our Prompt Jam 5 to a physical space, this event provides practical instruction for participants to discover the capabilities of portable agent memory. We are extremely excited to see the final projects these teams will produce.

The process known as context engineering governs the precise information a model processes during any given phase, encompassing specific instructions, tools, history, and recalled memory. The inherent limitation of this temporary context, however, is its inability to preserve state between different runtimes. @JessieWritesx, a Tech Lead Manager at @Mysten_Labs, explores the distinct boundary where the capabilities of context engineering end and the necessity for durable memory begins. You can read the comprehensive overview here: https://blog.walrus.xyz/what-is-context-engineering/

The Walrus Memory Prompt Jam has officially concluded. We want to extend our heartfelt appreciation to all the builders, writers, and developers who participated by submitting their prompts. Your contributions perfectly demonstrated the true capabilities of persistent memory.

We welcome you to discover the complete collection of open-source prompts and project submissions. The entire showcase is now available to view on DeepSurge at the following link:

https://www.deepsurge.xyz/hackathons/f313beb4-290d-46d9-ac73-3e216fdba8d1

We have officially concluded the Walrus Memory Prompt Jam, and we want to express our sincere appreciation to every developer, writer, and builder who participated. The prompts you submitted perfectly highlighted the incredible capabilities of persistent memory.

To discover all the open-source prompts and review the various project submissions, we invite you to browse the complete DeepSurge showcase using this link:
https://www.deepsurge.xyz/hackathons/f313beb4-290d-46d9-ac73-3e216fdba8d1

Did you happen to miss the latest update? @Revolut now officially features $WAL on its platform. This new listing significantly broadens availability, opening up access to an expansive network of 80M+ users located throughout 40+ countries.

The Walrus Memory Prompt Jam will be wrapping up in just 24 hours. Since submissions are scheduled to close tomorrow, we invite you to head over to DeepSurge to discover the current projects. While you are there, take the opportunity to experiment with the open-source prompts and review all 6 featured prompt categories.

You can browse the complete showcase by visiting: https://www.deepsurge.xyz/hackathons/f313beb4-290d-46d9-ac73-3e216fdba8d1

Keeping track of hundreds of decisions, locations, quest lines, and NPCs by hand is famously difficult during lengthy tabletop campaigns. To help solve this challenge, we are thrilled to feature D&D Campaign Memory by @0xanjalii on Github as the final entry in our Walrus Prompt Jam community spotlight.

Designed specifically for tabletop RPGs, this standout project functions as a persistent co-DM. Over months of gameplay, it seamlessly organizes your world state, session notes, and campaign lore.

You can explore the prompt directly at this link: https://github.com/0xanjalii/Campaign-Vault/blob/main/dnd-dm-assistant.md

We are excited to highlight Exam Mistake Memory for our latest Prompt Jam spotlight. Created by @eazitechh, whose Github handle is (@/eazitech1), this project offers a refreshing alternative to standard study applications.

A frequent flaw of typical exam preparation resources is their tendency to continuously quiz learners on concepts they have already mastered. In contrast, Exam Mistake Memory closely monitors your incorrect answers to identify the precise areas where your knowledge is lacking. By utilizing the data from your prior attempts, it formulates custom practice routines focused entirely on the subjects you actually need to learn.

You can review the complete prompt by visiting this link: https://github.com/EAZITECH1/exam-mistake-memory/blob/main/prompts/exam-mistake-memory.md

During a recent episode of the Starting Block podcast presented by @TheBlockCo, @kostascrypto joined @gazza_jenks for an engaging conversation. Together, they explored the complexities of data provenance and AI threat models, while also detailing exactly how Walrus fits into the broader landscape.

You can view the entire interview right here:

Crucial insights such as deployment fixes, architecture decisions, and debugging notes typically disappear completely as soon as a work session concludes. To address this common issue, our spotlight today focuses on a tool designed to enhance developer productivity. Created by @/Olalekan2345 and hosted on @github, BuildMEM Agent offers a highly effective solution.

Whether you are collaborating in fast paced hackathons or tackling long-term builds, this system diligently records your session progress, system errors, and design choices. By preserving this vital information, the tool ensures you will never have to resolve the exact same bug more than once.

Are you currently participating in the prompt jam or working on innovative ways to improve programming efficiency? We would love to hear the details of what you are creating.

Please take a moment to review the prompt directly by visiting the following link: https://github.com/Olalekan2345/buildmem-agent/blob/main/CLAUDE.md

Have you ever experienced an agent losing its entire memory the moment a session closes? In order to preserve a consistent state across various runtimes, it is necessary to store that information outside of the active process.

The procedure is surprisingly simple. We have put together a demonstration that teaches you to initialize the Walrus Memory TypeScript SDK using only ~90 lines of code. During the walkthrough, we integrate the three specific calls of recall, generate, and remember. To prove the effectiveness of this setup, we deliberately shut down the program and launch it again, allowing you to observe the agent seamlessly continuing its work from the exact point of interruption.

You can watch the complete tutorial right here:

https://youtu.be/YKNQkFlc0Qw?si=Uvif8lSWGCuDxG1N

A much smoother browsing experience has arrived for Walrus Docs. We recently implemented a new product-first layout to help you effortlessly move between the dedicated sections for Walrus, Walrus Memory, and Walrus Sites. Along with this improved navigation, you will discover a completely revamped Changelog designed to make finding important updates simpler than ever. Feel free to browse through the newly organized resources by visiting https://docs.wal.app

Bouncing between various AI platforms while handling several side ventures or client assignments often results in scattered histories and misplaced user preferences.

To solve this issue, we are thrilled to feature an exceptional tool designed for multi-project workflows in our ongoing Walrus Prompt Jam community spotlight series. Developed by @alexbelij on Github, Continuum seamlessly transfers your pending tasks, past project records, and essential settings across different applications, ensuring your work context remains perfectly aligned.

We would love to hear from you. How do you currently handle context retention when working with multi-project AI environments? Please share your strategies in the replies.

You can review the prompt directly here:
https://github.com/alexbelij/Continuum/blob/main/prompt.md

It can be quite frustrating when a session concludes and your agent completely loses track of its previous 40 steps. If you want to preserve state between different runtimes, you must ensure that memory is housed externally instead of remaining confined to the active process.

Our latest walkthrough demonstrates how to configure the Walrus Memory TypeScript SDK using exactly 19 lines of code. Throughout the guide, we connect three distinct operations, which are recall, generate, and remember. Once everything is linked, we intentionally shut down the application and boot it back up so you can watch the agent effortlessly resume its tasks right from the exact moment it stopped.

You can view the complete demonstration at the link below:

https://www.youtube.com/watch?v=YKNQkFlc0Qw&feature=youtu.be