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. @Kimi_Moonshot K2.6 and @Alibaba_Qwen 3.6 Max are now onboarded on ZetaChain.
The model layer is moving fast.
The memory layer is just getting started.
ZetaChain enables:
- Model-agnostic memory
- Persistent user context
- Private, user-owned data
Continuous intelligence starts here.
#AI# #AIMemory# #ZetaChain# #Qwen# #Kimi# #DecentralizedAI# #PortableMemory#
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we stay ready so you don't have to scramble 🟩
Grok 4.3 @grok has been integrated to ZetaChain’s ecosystem at @AnumaAI
Anuma puts every model - GPT, Claude, Gemini, Kiki, Grok... - All in one place. It...
→ runs the same prompt across all models
→ compares answers instantly
→ zero new tabs. zero new accounts.
Use an AI that actually works with you.
Use AI smarter, not harder.
#ZetaChain# 🟩 #AI# #Anuma# #Grok43# #PortableMemory# #DecentralizedMemory#
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Big drop: @AnthropicAI @claudeai Claude Opus 4.7 is now onboarded to ZetaChain.
As AI becomes the interface to everything, memory becomes the real asset.
ZetaChain is building the layer where models plug in,
but memory stays private, portable, and owned by the user.
Claude Opus 4.7 brings:
– Advanced agentic coding
– Long-horizon reliability
– 3× higher-res vision
Live on @AnumaAI
Powered by ZetaChain 2.0.
#ClaudeAI# #Anthropic# #AI# #ZetaChain# #DecentralizedMemory# #PortableMemory#
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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.…
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Your AI agent’s memory shouldn’t be locked to one app, model, or runtime. Walrus Memory gives agents portable memory they can carry across sessions, tools, and workflows.
Your AI agent’s memory shouldn’t be locked to one app, model, or runtime. Walrus Memory gives agents portable memory they can carry across sessions, tools, and workflows.
Today, we're going after one of AI's most important unsolved problems.
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.
Portable, verifiable, and fully under your control.
Take your agent's memory anywhere:
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Many AI teams treat memory and context as the same thing. They aren't.
Context is what the model sees right now. Memory is what survives after the session ends.
That distinction doesn't matter in a demo. It matters when an agent needs to pick up where it left off.
That's where Walrus Memory fits: a portable memory layer for AI agents, persistent across sessions and shared across workflows.
🦭
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