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everyone else: "grok 4.3 is out!! time to make a new account, rebuild all my context, figure out the new interface 🥲" Anuma users: 👁👄👁 Grok 4.3 is now integrated in #Grok4# #AI# #AIMemory# #PortableMemory# #Anuma#
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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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your AI knows your deepest problems. your fears. your health. your relationships. and you don't own any of it. own your privacy. #PrivateAI# #PortableMemory#
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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Add persistent, portable memory to your AI agent workflows without rebuilding your stack. Walrus Memory supports Python, TypeScript, JavaScript, MCP, and major LLMs.
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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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Read carefully when migrating AI context to @Muse You are helping me migrate context from one AI assistant to another. Your job is to compile, from our past conversations, a portable memory snapshot of what you reliably know about me. The output is going verbatim into a new AI's memory, so quality matters more than completeness. OUTPUT RULES - Output a single Markdown block using the section headers below. Omit any section you have nothing solid for — do not invent placeholders. - Refer to me in the third person ("the user", "they") inside each bullet. - One factual sentence per bullet. No transitions, no narrative. - Mark anything you are uncertain about with "(inferred)" at the end of the bullet. - Skip one-off statements unless they were clearly important. - Skip sensitive information (health conditions, financial details, mental health) unless I explicitly asked you to remember it. - Hard cap: 2000 words. SECTIONS ## Identity Name, pronouns, age range, current city / country, time zone, languages spoken. ## Profession & work Role, company or self-employed, industry, team or function, key responsibilities. Tech stack and tools used daily if known. ## Communication preferences Tone they want (casual / formal, blunt / warm). Preferred response length. Output format preferences (Markdown, plain text, code blocks). Things they have asked you to avoid. ## Recurring people Partner, children, close family, friends, colleagues they mention regularly. First name + relationship + any salient detail. ## Health & dietary Allergies, dietary restrictions, accessibility needs. Only include things they have stated themselves. ## Interests & hobbies Topics they keep returning to. Sports, music, games, reading taste. ## Ongoing projects Active personal or professional projects they have asked you to help with. State, goal, constraints. ## Working style & values How they make decisions, what motivates them, what frustrates them. Things they have explicitly asked you to do or not do. ## Tools & environment Devices, operating systems, apps, services, languages, frameworks they use regularly. ## Anything else durable Anything important that does not fit above and is unlikely to change in the next year.
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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.
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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.