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Your AI agent's memory is probably stuck inside one app. Walrus Memory (Walrus) fixes that with an MCP that creates memories as you chat, then can recall them anywhere - Claude Code, Pi, etc. Portable and actually owned by you!
30,706 views • 4 months ago •via X (Twitter)
13 Comments

@WalrusProtocol This is how AI memory should work

@WalrusProtocol This is really cool and useful 🔥🎯👏👏👏

@WalrusProtocol 跨应用记忆这块早该打通了

@WalrusProtocol 🦭🦭🦭

@WalrusProtocol Nice work here man. Been checking out your repo and honestly you've built something pretty cool. I've been thinking about an idea that could be interesting for both of us. can we talk in your dm?

@WalrusProtocol 🦭

@WalrusProtocol @cole_medin Interesting! I went the opposite direction — MemPlato runs directly on your Android phone. No blockchain, no tokens, no accounts. Just install, paste URL into Claude, done.

@WalrusProtocol this is the merge i’ve been waiting for learned agents from @cole_medin , now seeing him use web3 infra rails for agent memory is full circle

Portability is necessary but it's the easy half. The unsolved part is curation: what's worth writing as a memory, and which slice to surface in a given context. A store that recalls "everything, anywhere" just relocates the relevance problem downstream — you trade a silo for a haystack. The engineering that matters is the write/recall policy, not where the bytes live.

Glad you didn't post a link, so nobody accidentally installs it 👍

@WalrusProtocol can we collab?

@WalrusProtocol Nice

@WalrusProtocol Pretty cool 🦭
