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.

海象記憶提示（Walrus Memory Prompt Jam）將在短短 24 小時內告一段落。由於投稿將於明天截止，我們邀請你前往 DeepSurge 了解目前進行中的專案。在那裡，別忘了趁機試用開源提示，並瀏覽全部 6 個精選提示類別。

你可以透過以下網址瀏覽完整展示： https://www.deepsurge.xyz/hackathons/f313beb4-290d-46d9-ac73-3e216fdba8d1

在漫長的桌上角色扮演（TTRPG）戰役中，手動追蹤數百個決策、地點、任務線與 NPC 議題，出名地相當困難。為了幫助解決這個挑戰，我們非常興奮地在 Walrus Prompt Jam 的社群聚光燈中，作為最終一則收錄 D&D Campaign Memory——作者為 @0xanjalii，作品位於 GitHub。

這款專為桌上 RPG 設計的傑出專案，能夠作為「持久型共同 DM（co-DM）」。在數月的遊玩過程中，它會無縫地整理你的世界狀態、會話紀錄與戰役背景故事（lore）。

你可以直接在此連結探索提示內容：https://github.com/0xanjalii/Campaign-Vault/blob/main/dnd-dm-assistant.md

我們很高興在最新的 Prompt Jam 亮點中，展示「考試錯誤記憶（Exam Mistake Memory）」。本專案由 @eazitechh 所打造，其 GitHub 帳號為 (@/eazitech1)。此計畫為標準的學習應用程式提供了一個清新的替代方案。

典型的考試準備資源常見的缺陷在於，它們傾向於持續測驗已經掌握的概念。相較之下，「考試錯誤記憶」會密切追蹤你的錯誤答案，以找出你知識不足的精確範圍。透過運用你先前嘗試所產生的資料，它會建立客製化的練習流程，完全聚焦在你實際需要學習的主題上。

你可以透過以下連結查看完整提示（prompt）：https://github.com/EAZITECH1/exam-mistake-memory/blob/main/prompts/exam-mistake-memory.md

在最近一期由 @TheBlockCo 主持的 Starting Block 播客中，@kostascrypto 與 @gazza_jenks 展開了一場引人入勝的對談。兩人一同探討了資料來源可追溯性與 AI 威脅模型的種種複雜性，同時也精確說明了 Walrus 如何融入更廣泛的整體版圖。

你可以在這裡觀看完整訪談：

部署修正、架構決策和除錯備註等關鍵洞見，通常一旦工作階段結束就會完全消失。為了解決這個常見問題，我們今天聚焦一款能提升開發者生產力的工具。這款工具由 @/Olalekan2345 建立，並托管在 @github 上，BuildMEM Agent 提供了非常有效的解決方案。

無論你是在節奏快速的黑客松中協作，還是處理長期的建置工作，這套系統都會認真記錄你的進度、系統錯誤與設計選擇。透過保存這些重要資訊，工具能確保你不必再為同一個 bug 反覆解決。

你目前正在參與 prompt jam，或正嘗試用創新的方式提升程式開發效率嗎？我們很想知道你正在打造些什麼。

請花一點時間直接透過以下連結查看提示內容：https://github.com/Olalekan2345/buildmem-agent/blob/main/CLAUDE.md

你是否曾經遇過：當一個工作階段結束的瞬間，代理程式就把整個記憶全都遺失了？為了在不同的執行環境中維持一致的狀態，必須將這些資訊存放在作用中的進程之外。

這個流程其實出奇地簡單。我們整理了一份示範，教你只用約 90 行程式碼就能初始化 Walrus Memory TypeScript SDK。在逐步導覽中，我們會整合三個特定的呼叫：recall、generate 和 remember。為了證明這套設定確實有效，我們會刻意關閉程式，然後再重新啟動，讓你能觀察到代理程式能無縫地從中斷的精確位置繼續進行工作。

你可以在這裡觀看完整教學：

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

更順暢的瀏覽體驗已為 Walrus Docs 上線。我們最近實作了新的以產品為優先的版面，讓你可以輕鬆地在 Walrus、Walrus Memory 和 Walrus Sites 的專屬章節之間切換。除了這項改進的導覽功能，你也會發現全新改版的 Changelog，讓你比以往更容易找到重要更新。歡迎透過 https://docs.wal.app 造訪，瀏覽重新整理過的資源

在各種 AI 平台之間跳轉，同時還要處理多個副業或客戶任務，常常會導致歷史紀錄分散、使用者偏好也被放錯地方。

為了解決這個問題，我們非常歡迎在我們持續進行的 Walrus Prompt Jam 社群聚焦系列中，推出一款為多專案工作流程打造的傑出工具。此工具由 @alexbelij 在 Github 開發，Continuum 能夠無縫地將你尚未完成的任務、過往的專案記錄以及必要設定，跨不同應用程式進行轉移，確保你的工作脈絡始終保持高度一致。

我們很想聽聽你的想法：當你在多專案的 AI 環境中工作時，目前是如何保留脈絡（context）的呢？歡迎在回覆中分享你的策略。

你可以直接在此查看提示內容：
https://github.com/alexbelij/Continuum/blob/main/prompt.md

當一個會話結束時，你的代理卻完全失去先前那 40 個步驟的追蹤，這確實可能令人相當沮喪。如果你想在不同的執行階段之間保留狀態，你必須確保記憶體是放在外部，而不是僅限於目前的執行程序中。

我們最新的逐步導覽展示如何使用正好 19 行程式碼來設定 Walrus Memory TypeScript SDK。在整份指南中，我們串聯了三個不同的操作：回憶（recall）、生成（generate）以及記住（remember）。一旦全部連接完成，我們會刻意關閉應用程式，然後重新啟動，讓你可以觀察代理能夠毫不費力地從它停止的那一刻起，直接繼續執行任務。

你可以在下方連結查看完整示範：

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