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Introducing: Walrus Memory. 🦭 A portable memory layer that lets your AI agents carry context across every app you run them in. No more starting from zero. No more being locked into one platform.…

Walrus

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40,457,970 次观看 • 3 个月前 •via X (Twitter)

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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!

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!

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Introducing Membase – portable and persistent memory for your agents. Keep all your context in one place and simply plug it into any agent. We just opened private beta access. Get Membase and make every AI understand you. *Also available in .

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our big bet with WALRUS MEMORY is that memory becomes a fully composable, transactable part of what ai agents need to do in the future and it's going to be an incredibly valuable asset and we've built a primitive that lets you fully own and carry it across every agent you use

our big bet with WALRUS MEMORY is that memory becomes a fully composable, transactable part of what ai agents need to do in the future and it's going to be an incredibly valuable asset and we've built a primitive that lets you fully own and carry it across every agent you use

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Everyone’s building more AI agents. Almost nobody is building a way for them to share your memory. MemU just did. Your AI now remembers you across every device and every agent, getting smarter after every conversation instead of starting from zero. This changes how personal AI actually works. 👇

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Introducing the OpenMemory Chrome Extension! 🎉 Shared memory you can carry across ChatGPT, Claude, Perplexity, Grok, Gemini & more. Think universal context, synced across every AI assistant you use. It's free and opensource. Try it Now!

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AI can write a 10,000-word essay in seconds… but forgets you just told it your name yesterday. Engramme is trying to fix that. Memory that sticks. Context that follows you. Across every app. This might be the missing layer AI needed.

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agents with goldfish memory were getting kinda old so we shipped evolve one click and your agent reviews its past runs keeps the signals that actually mattered writes them back into memory then carries that context into the next run same agent more context less relearning the same lesson evolve is live on neotrade

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300 agents just worked in parallel. the hard part starts when they’re done. The real unlock is the shared context graph. 100 entities already have 4,950 possible pairwise relationships. at 300, that jumps to 44,850. 300 agents → thousands of steps → shared entities → shared relationships → one connected memory layer Every run adds more structure instead of starting from zero. That means the next agent doesn’t just get more data. It gets a better map of how everything connects. That’s the part people are underestimating about multi-agent systems.

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