Walrus Session 8 Winners: Chatbots with Memory

ملخص

The Upside celebrates the winners of Walrus Session 8, focused on chatbots that remember across conversations. Winning apps include a simulation workbench, a chatbot with user-controlled memory, and a Telegram accountability bot; additional awards recognize promo, bug bounty, and article contributions. These projects showcase practical uses for persistent memory stored with Walrus.

Walrus Session 8: Chatbots That Remember winners! 🤖

What a session! Thank you , the quality blew us away.

Winners:

🥇 App

1: Playbook by @inspikalu: a chatbot with a simulation workbench (bridges, queues, solar and more) that remembers your limits, your best settings and what already failed. $500 worth of WAL
App: https://playbook-nu-six.vercel.app/
Article: https://medium.com/@inspikalu/playbook-my-use-case-62e1009e9d37

2: hippo by @uydev: a chatbot on web, Telegram, Discord and a terminal that keeps its memory in a Walrus account you own and can revoke. $250 worth of WAL
App: https://ask-hippo.vercel.app/
Article: https://medium.com/@lequocuyit/i-gave-my-chatbot-memory-then-gave-the-memory-back-to-the-users-eaba16bb6b86

3: Anchor by @angelraph: a Telegram accountability bot that remembers your promises, messages you first when they are due and tracks your follow-through. $150 worth of WAL
App: https://anchor-production-6bb4.up.railway.app/
Article: https://medium.com/@uzoechiraphael1/how-i-added-long-term-memory-to-a-telegram-chatbot-so-it-remembers-users-between-sessions-76a7579b20af

📣 Promo - $100 worth of WAL each

@olalekan234 @esteexbt @vikajoestar @vibexcoin @drapkfile.

🐛 Bug Bounty - $100 worth of WAL each

@aquajohn @vikajoestar @kafir @sandman.sh @dannytrillions_ @nxrskyaa

✍🏼 Article - $100 worth of WAL each

  • WalCoach by @edcryptofi : seven AI mentors (fitness, study, cooking and more) that share one memory of you, with an honest write-up. https://medium.com/@cryptolairbr/walcoach-remebers-you-b2f3b5596868

  • Sabi by @web3sultan: a chatbot whose memory belongs to a whole developer community, storing fixes together with who verified them. https://medium.com/@iupacnumen2020/sabi-a-chatbot-whose-memory-belongs-to-the-whole-community-24e470cf9fec

  • Deck Hand by @izzetcakmak.: how a launchpad chatbot on one chain got a cross-device and cross-chain memory on Walrus. https://medium.com/@izzetcakmak35700/two-chains-one-memory-giving-a-launchpad-chatbot-a-brain-on-walrus-62e485eb068e

🧠 Beyond the Big Two - $150 worth of WAL each

  • Walden 3 by @hromi_18650: a Matrix group chatbot on a local IBM Granite model that carries room memory between servers through Walrus. https://medium.com/@d_14873/my-chatbot-invented-a-dog-called-max-then-i-gave-it-a-memory-on-walrus-59000255f4d0

  • Tact by @khanhhung23: a group-chat bot on a local Qwen3 1.7B that keeps private per-person notes to help the group decide. https://x.com/cuzboy23/status/2108926848772276641

🎁 And a bonus for the ones who were so close - $50 worth of WAL each

We were so impressed with everything you have been building that we added a bonus prize for people who came really close to winning in App, Promo, Bug or Article. You will get a little something:
@ga8471 @ksschkw @gunroarcannon @raffny @dauniz @elfarizi02 @veevee_89 @choviy @bgstr @jeielsantos @OlympusXVN @ar1ma @eazitech

Something I want you all to consider, it is not always about building the most technical thing. A simple product with a great use case is just as valuable and a reason why portable memory makes sense. Also, try to build something you want to use, worst case you have 1 user

Reviewing all of the projects was an amazing job and deciding the winners was a really tough one!

We are also considering a community choice: a top list where the community votes for a winner, like we had before. We cannot expect you all to test 70+ projects, so it would be a shortlist. Let us know what you think!

Thank you all. Keep building and good luck with #channel !

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