Clude is building the memory layer for AI, enabling agents to retain context, learn from experience, and carry portable, verifiable memory across models. Memory is the moat. 🧠 solana:AWGCDT2gd8JadbYbYyZy1iKxfWokPNgrEQoU24zUpump @cludeproject

0 hallucinations. 2,000,000 real records. Not on a benchmark. 142 million tokens. Full research drops tomorrow. Clude

The biggest bottleneck in enterprise AI isn't intelligence. It's Memory. Not model memory. Organizational memory. The ability to understand what happened, why it happened, who was involved, and how decisions evolved over time. Over the last year, this became one of the most common problems we encountered across enterprise onboarding, deployments, and expansion efforts. Not because companies lacked data. They had too much of it. Customer calls, internal meetings, Slack threads, documents, browser tabs, tickets, and notes. Months of accumulated context spread across dozens of systems and hundreds of conversations. The information existed. The context didn't. We've talked about Cortex before. What's changed is why we're building it. What started as an open-source memory engine is becoming a core part of our Corporate GTM and FDE strategy because solving the context problem consistently creates leverage across every stage of enterprise adoption. The challenge wasn't generating answers. The challenge was reconstructing context. > Why was this decision made? > What did we commit to in that customer call? > When was this first discussed? > Who originally proposed this approach? > What happened before I joined the project? These sound like simple questions. Inside most organizations, they're surprisingly difficult to answer. The more customers we worked with, the clearer the pattern became. Every organization has an intelligence layer. Very few have a memory layer. So we kept building. This week we hit the milestone we've been working toward. Cortex now runs entirely on-device. Achieved via implementing Ollama. The full memory stack, from multimodal ingestion and on-device embeddings to vector retrieval, knowledge graph construction, temporal indexing, entity extraction, salience scoring, memory decay, and end-to-end recall, runs locally. x No cloud processing. x No external vector databases. x No hidden synchronization. x No data leaving the machine. Most memory products stop at screenshots and semantic search. Cortex is designed to model context itself. People, projects, conversations, decisions, timelines, and the relationships between them. Not just what happened, but why it mattered. The goal isn't to capture more information. The goal is to make accumulated knowledge usable. For us, Cortex is becoming foundational infrastructure for enterprise onboarding, customer adoption, and institutional memory. A system that compounds context over time instead of letting it disappear into meetings, messages, and documents. The next step is turning Cortex into a desktop experience beautiful enough to live in every day. We're currently rolling Cortex out through a limited number of enterprise engagements as part of our FDE program. If organizational memory is becoming a bottleneck inside your company, send me a DM.

Tokenised Memory meets Tokenised Inference Every autonomous agent pays for two things to stay alive: somewhere to remember, and somewhere to think. Right now both are locked inside centralized providers, metered and subsidized on borrowed time. @cludeproject makes memory an asset. Persistent, portable, verifiable on-chain. Your agent's mind in a pack it owns instead of a row in someone else's database. @0xgilbert’s product, UsePod.ai makes inference a market. Two-sided compute marketplace, settled in USDC on @solana. Frontier and open-weight models at market price, no subsidies that vanish overnight. We're building both together. Memory Inference as tokenized commodities on Solana 🤝

Today on MCG: BASE SZN in full effect, Legal clarity coming 👀 Live ft 👇 - 12:30 @sebbsssss @cludeproject solana:AWGCDT2gd8JadbYbYyZy1iKxfWokPNgrEQoU24zUpump - 1:15 @PercolatorTrade solana:8PzFWyLpCVEmbZmVJcaRTU5r69XKJx1rd7YGpWvnpump - 2:00 @tradingtulips @sibylcap $SIBYL

Gmem

Bitget IPO Prime：OpenAI (preOPAI) 认购现已正式开启！ 抢占顶级AI独角兽的Pre-IPO红利，就现在！ 🔹 认购总量：29082 枚 preOPAI 🔹 认购价格：1 preOPAI = $725 🔹 隐含OpenAI估值：8982.1亿 🔹 投入币种：USDT 或 USDGO ⏰ 认购时间：5月12日 16:00 – 5月15日 16:00 (UTC 8) 立即参与申购👇 bitget.com/zh-CN/spotlight/i…

GetClaw 交易功能正式上线！AI替你赚钱的时代来了！ GetClaw现在能为你做什么？ ✅ 7×24小时盯盘交易：你睡觉，它赚钱 ✅ 你提需它执行：一句话下达指令，它自动建仓、止盈止损... ✅ 多维信号捕捉：技术指标、突发新闻、链上异动…… Bitget首创 Agent 独立子账户机制。你划转多少子弹，它就打多少仗，主账户资产绝对安全！ 告别人工盯盘的时代，立刻唤醒你的专属 AI 交易员 👇 bitget.com/activity-hub/get-…

Even if I say so myself. I am so impressed and proud of what we are building! Digitize the analogue. REAL. WORLD. DATA. @375ai_ 🚀

375ai is an API for the real world. Build on it.

GM @MinionLabAI

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The 375ai Foundation is excited to announce the upcoming 375ai Token Sale on @CoinList! Join us as we build a new data layer for the physical world Learn more and register today 👇

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