Walrus 🦭/acc Re-poster

Walrus Memory has recently captured the spotlight in a new feature by @Forbes.

Reflecting on a critical challenge, @kostascrypto shared the following thought: "There was a point in time that we were stopped from accessing Fable and Mythos. And imagine at that time, what do I have to do?"

This exact dilemma explains why builders are eagerly transitioning to user-keyed, portable memory systems. Following a milestone of over 5,000+ agents and more than 4.5M+ retrievals, the motivation is abundantly clear. By adopting this technology, developers ensure that migrating between different LLMs never requires them to start completely from zero.

You can dive into the comprehensive article authored by @guneyyildiz right here: https://www.forbes.com/sites/guneyyildiz/2026/10/21/ai-startups-are-betting-on-what-the-big-platforms-cannot-credibly-sell/

To introduce verifiability into its enterprise data suite, @PerceptronNTWK is currently moving the data that powers its 800,000-node network over to Walrus. This transition directly addresses a critical requirement for hedge funds and enterprise buyers who depend heavily on real-time data, as it is absolutely crucial to confirm that this information remains completely unaltered.

Discover all the details by reading the complete announcement at the following link: https://walrus.xyz/blog/perceptron-walrus-verifiable-data-provenance/

It is certainly a positive development to see the largest data platforms shifting towards model-flexible and framework-agnostic memory solutions. For instance, @databricks launched agent memory into beta on Oct 12, just after @MongoDB introduced the capability to Atlas last month.

Nevertheless, a significant issue persists. While this memory might function across different models and agents, it frequently stays anchored to a single data platform. As a result, the valuable customer insights acquired by your agents transform into yet another trapped asset that you cannot relocate.

Walrus Memory ensures that your data remains completely yours. It acts as an independent memory layer that accompanies your agent everywhere. Because it is not restricted to any specific platform, it can be accessed from any runtime or model. Storing a fact is as simple as using remember(), and bringing it back just takes recall().

https://docs.databricks.com/aws/en/release-notes/product/2026/october

We warmly invite you to a special builder AMA on @discord where we will discuss how to eliminate the guesswork involved in locating information across decentralized sites and blobs. On October 21, 2026 at 12:00 p.m. UTC, @OmuraHQ co-founders Aditya Berry and Sourabh Chawla will be joining us to provide a comprehensive overview of the search infrastructure and real-time indexing developed for Walrus. We look forward to seeing you there, so please come prepared with your inquiries and access the event using the following link: https://discord.com/invite/walrusprotocol

In a fascinating conversation about maximizing GPU performance, @AMD representative @AnushElangovan recently sat down with @ConorBronsdon. Together, they delve into the capabilities of ROCm 10 and discuss the innovative application of agent swarms. These agents are deployed to successfully navigate search spaces, resulting in the automated optimization of thousands of models. You can catch this insightful discussion on Season 4 of the @chain_ofthought podcast, which is proudly sponsored by Walrus Memory. Listen to the complete episode at the following link: https://chainofthought.show/podcast/72-tuning-gpu-performance-with-ai-agents-amds-anush-elangovan-on-rocm-10/?utm_source=sponsor-share&utm_medium=referral&utm_campaign=ep72

We are incredibly proud to be a sponsor for season four of @chain_ofthought. In a recent episode, @ConorBronsdon sat down with Jaime DeLanghe, the CPO of @SlackHQ, for an engaging conversation regarding agent context. Together, they explored the reasons behind channels emerging as the natural context model for agents. The pair also discussed the dynamics that unfold when a complete team collaboratively steers a single agent, as opposed to employees working within isolated silos. You can listen to the full episode by visiting the link provided below.

https://chainofthought.show/podcast/71-slack-wants-to-be-the-context-harness-for-code-cpo-jaime-delanghe/?utm_source=sponsor-share&utm_medium=referral&utm_campaign=ep71

Providing context for your agent and supplying data to your application are essential steps, and Walrus Console is designed to bridge these two needs seamlessly. To help you get started, we offer a short guide that explains the process of connecting Walrus Console to Cursor utilizing MCP. This integration allows your agent to effortlessly read and write files as a natural part of your workflow. You can explore Walrus Console today at the following link: https://walrus.xyz/products/walrus-console/?utm_source=twitter&utm_medium=social&utm_campaign=walrus_console

Are you currently developing an artificial intelligence agent? You can now equip it with the ability to retain information long after an active session ends. For developers who are frustrated by disappearing data between executions or having to constantly provide background context, Walrus Memory offers a highly effective solution to maintain continuity.

To help you get started, here is an overview of the available resources and how they function.

The OpenClaw plugin, mysten-incubation/oc-memwal, equips OpenClaw agents with the ability to automatically capture and recall information. This guarantees that memory remains fully accessible across multiple sessions. You can find this tool at https://github.com/MystenLabs/MemWal/tree/dev/packages/openclaw-memory-memwal

At the foundation is the core SDK, mysten-incubation/memwal, which handles the secure storage of encrypted memory directly on Walrus. This component ensures that the integrity of your data can be verified independently at any time. The SDK is located at https://github.com/MystenLabs/MemWal/tree/dev/packages/sdk

Furthermore, the project features AI-friendly docs. You will find step-by-step integration instructions within the SKILL.md file, alongside a highly structured documentation reference tailored specifically for AI tools in the llms.txt file. Review these materials here: https://github.com/MystenLabs/MemWal/blob/dev/SKILL.md

Ultimately, these tools give you complete control over persistent memory that functions seamlessly across various workflows, tools, and user sessions. To view the source code and access the quickstart guide, please visit the main repository at https://github.com/MystenLabs/MemWal

As we look toward the future, the next wave of artificial intelligence will rely heavily on human-generated data. Because of this shift, establishing a clear origin for information is now a strict requirement for procurement. Thankfully, @SuiNetwork and Walrus are working together to ensure this data provenance is entirely verifiable.

To support this vital process, Walrus is quickly becoming the primary storage foundation for both @datafdn and Trace, the onchain registry dedicated to rights-cleared AI training data. Within this ecosystem, Trace is responsible for documenting exactly who owns the information and where it originated. Meanwhile, Walrus securely houses the original files, ensuring they remain completely tamper-proof and are accessible solely to buyers who hold the appropriate licenses.

The sheer volume of activity on the platform highlights its growing impact. Applications that supply licensed data to frontier AI labs actively utilize this system. As a result, Trace has already documented over 250M total contributions and continues to process more than 3M new receipts every single day.

For complete details, please view the official announcement here: https://www.sui.io/blog/data-network-joins-sui-walrus

Sui Basecamp-dəki vaxtımız inanılmaz dərəcədə məhsuldar keçən iki gündən sonra rəsmi olaraq başa çatdı. Tədbir zamanı Walrus Console-u icmaya təqdim etməkdən qürur duyduq. Həmçinin @Mysten_Labs və @googlecloud-un Verifiable Agent Arbiter haqqında həyəcanverici birgə elanına diqqət çəkmək fürsətindən yararlandıq. Bu layihə agent sübutlarını həm Walrus-a, həm də Sui-yə bağlamağa yönəlib. Bundan əlavə, möhtəşəm tərəfdaşlarımız @astros_ag, @AlliumLabs və @matterhornso-nu xüsusi qeyd etməkdən məmnun olduq. Sonda isə agentlərin davamlı yaddaşına həsr olunmuş maraqlı seminarlar keçirməklə tədbir proqramımızı tamamladıq.

Sui Basecamp rəsmi olaraq başa çatdı. Bu iki günlük tədbir ərzində Walrus Console-u uğurla istifadəyə verdik və davamlı agent yaddaşına həsr olunmuş seminarlar keçirdik. Həmçinin tərəfdaşlarımız @astros_ag, @AlliumLabs və @matterhornso-nu təqdim etmək fürsətindən yararlandıq.

Sui Basecamp-dəki səyahətimiz rəsmi olaraq başa çatdı. Möhtəşəm iki günlük tədbir zamanı Walrus Console-u icmaya qürurla təqdim etdik. Həmçinin əla tərəfdaşlarımız Astros, Allium və Matterhorn-u diqqətə çatdırmaq fürsətindən yararlandıq. Sonda komandamız davamlı agent yaddaşının işləmə mexanizmlərinə həsr olunmuş maraqlı maarifləndirici sessiyalar keçirdi.

Qaçırmış ola bilənlər üçün: @DLougaris bu yaxınlarda #SuiBasecamp-də agent yaddaşı üçün ideal saxlama yerlərini izah etmək məqsədilə çıxış edib. Onun təqdimatından dərhal sonra iştirakçılara məlumatları daimi olaraq yadda saxlaya bilən agentləri necə hazırlamağı öyrədən praktiki seminar keçirilib.

Ənənəvi bulud yaddaşı həlləri fayllarınızı adətən bir təchizatçı ilə məhdudlaşdırır və məlumatlarınıza əlçatanlığı qoruyacaqlarına kor-koranə etibar etməli olursunuz. Walrus Console bu vəziyyəti tamamilə dəyişir. Bu platforma vasitəsilə məlumatlarınız üzərində tam sahiblik əldə edirsiniz. Sistem yüklədiyiniz hər bir elementi avtomatik şifrələyir, mövcud alətlərinizlə asan idarəetmə imkanı yaradır və məzmununuzun dəyişməz qaldığını, ona istənilən vaxt girişin mümkün olduğunu müstəqil şəkildə təsdiqləməyə imkan verir.

Ətraflı məlumatı burada öyrənin: https://walrus.xyz/products/walrus-console/?utm_source=twitter&utm_medium=social&utm_campaign=walrus_console