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@Gogi963

Katılım Şubat 2022
318 Takip Edilen80 Takipçiler
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fomo
fomo@tryfomo·
HODL ($HODL) is now available for purchase via Apple Pay on fomo @hodl2013 Download fomo, sign up, and buy $HODL in less than 30 seconds ⏪
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Gogi@Gogi963·
@Dior100x Its so fake, its look like market is crazy but every coin that gets to 50 100 k, gets there in 3 seconds because is bundled and then just instant die, buy long term stuff high cap, dont give your money to them
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Dior
Dior@Dior100x·
Yes stay away from memescope Monday this is terrible
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Esee
Esee@Esee06257·
Warming up for the last day onchain
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Global Dissident
Global Dissident@GlobalDiss·
🚨🇩🇪 MADNESS IN GERMANY 3 kids EXPELLED from school because their parents refused gender rules. A teacher said it’s NORMAL to identify as a “dog”. The father pushed back: ONLY 2 GENDERS. And the system punished the kids. This is INSANE.
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Mnemos
Mnemos@MnemosOnBase·
Memory Marketcap🧠 What is the marketcap opportunity for Mnemos? It’s good to understand where we fit and the size of the TAM we are exposing ourselves to. The global memory and storage technology market surpassed $200 billion in revenue in 2025 and is projected to exceed $400 billion by 2036, with AI fundamentally reshaping demand.
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Mnemos
Mnemos@MnemosOnBase·
Onchain storage🧠 The onchain AI memory/storage niche specifically, projects focused on persistent, agent-accessible memory stored on-chain is still very early and fragmented. Most projects blend storage with compute or broader AI infrastructure, making it hard to isolate a clean market cap figure. The pure decentralized storage tokens (Filecoin + Arweave) represent roughly $1–2 billion combined, while the broader onchain AI infrastructure sector they belong to sits around $5–8 billion. It’s still a relatively small market compared to traditional cloud storage, but growing fast as AI agents increasingly need persistent, decentralized memory layers.​​​​​​​​​​​​​​​​ Mnemos aims to capture a share of this market and create undeniable value in the onchain decentralised storage sector.
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@atom
@atom@atom_xyz·
I remember when this was just a dream Al hamdulilah 🤲
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Panther🐈‍⬛
Panther🐈‍⬛@Panther_100x·
MNM at 260k mcap is a steal What $MNM is? It's an AI memory vault that actually keeps your data private. You know how ChatGPT or Claude "remembers" things about you — your goals, relationships, health, decisions? That data lives on their servers. They promise it's private. But one lawsuit, one acquisition, one government order — it's gone or exposed. MNEMOS encrypts your memories with a key that only your crypto wallet can unlock. Nobody at MNEMOS can read your stuff. Not their servers, not their employees, not even if they get hacked. The encryption happens inside your browser before anything leaves your device. You connect it to Claude or any AI tool via MCP, and your AI actually has persistent memory about you across every conversation — but you own it, not them. ✅ Why It's Good Actually works — the app is live, the code is public and reviewed by someone who knows crypto. It's correctly built. Real privacy — not a privacy policy promise. Math. Your wallet = your key = your data. Connects to any AI — plug it into Claude Desktop, Claude Code, Cursor, anything MCP compatible in 3 lines of config 6 memory modules — relationships, goals, decisions, health, notes, API ingest. Structured, not just a text dump You can self-host it — MIT license, clone the repo and run your own instance if you want zero dependence on them MNM at 260k mcap is a steal lmao 0x0D6142F06692D4d5a61B37646B89e940A9741e08
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Gogi
Gogi@Gogi963·
$MNM at 70 k mc is best opportunity that you have right now in memecoins. Remember this tweet when we hit millions, not much time left to buy at this levels 🚀0x0d6142f06692d4d5a61b37646b89e940a9741e08 x.com/MnemosOnBase/s…
Mnemos@MnemosOnBase

Here's what we're working on and why we think it's one of the most important things we'll build for MNEMOS. AI Agents. Background intelligence that captures events and memories to your vault automatically, without you logging a single thing. 🧵 1/10

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Gogi
Gogi@Gogi963·
$MNM at 70 k mc is best opportunity that you have right now in memecoins. Remember this tweet when we hit millions, not much time left to buy at this levels 0x0d6142f06692d4d5a61b37646b89e940a9741e08 x.com/MnemosOnBase/s…
Mnemos@MnemosOnBase

Here's what we're working on and why we think it's one of the most important things we'll build for MNEMOS. AI Agents. Background intelligence that captures events and memories to your vault automatically, without you logging a single thing. 🧵 1/10

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Gogi
Gogi@Gogi963·
@MnemosOnBase The team is constantly building, $MNM deserve to go to billions
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Mnemos
Mnemos@MnemosOnBase·
Deploy Agent UI🤖🧠 1. Name your agent 2. Describe agent 3. List agent goals and objectives 4. Choose desired tools 5. Define the schedule 6. Pick AI model 7. Deploy🤖
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lynk
lynk@lynk0x·
When someone tries to rob a crypto bro who’s already down, -90% this year.
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Mnemos
Mnemos@MnemosOnBase·
Mnemos Agents, the foundation shipped🧠 Before agents can capture anything, the infrastructure has to be right. We built it. Two new database tables powering the complete agent memory lifecycle. Every capture starts as pending. It gets reviewed, verified, approved or rejected. Only then does it become a permanent encrypted memory in your vault. Auto-commit threshold built in from day one, you set the confidence level. High confidence captures go straight in. Everything else waits for your eyes. Unglamorous work. Essential foundation. The agents couldn't exist without it.
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Mnemos
Mnemos@MnemosOnBase·
The extraction engine🧠 The hardest problem in building AI agents isn't capturing events. It's knowing what actually matters. We built agentExtract() — a Claude Haiku pipeline that reads a raw event and produces a structured memory candidate. Title. Category. Tags. A confidence score. A written rationale explaining exactly why this event was worth capturing. Six agent types. Six tuned system prompts. Each one trained to filter signal from noise for its specific domain. And before anything reaches your vault — a deduplication check using Voyage AI embeddings and pgvector cosine similarity. If it's too close to something you've already stored, it doesn't get through. Raw event in. Structured intelligence out. Only if it earns it.
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