DeepFlow

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DeepFlow

DeepFlow

@DeepFlowcc

AI Coding & Multi Agent MCP Engine CA: 0xb11e6ed6f481fd954dcd4585d8877ace06acadfe Web: https://t.co/bDBtXdASlw TG: https://t.co/GpJVZjvkhz

Katılım Temmuz 2024
59 Takip Edilen1.1K Takipçiler
DeepFlow
DeepFlow@DeepFlowcc·
当红色小龙虾OpenClaw爬满全球屏幕(34 万星 + 20 万日下载),AI Agent 完成了从 “玩具” 到 “工具” 的跃迁。 AI 喧嚣,Web3 静默 —— 历史总在基础设施期沉默,在应用爆发期沸腾。 Web3 会是 AI 经济的内生支付系统吗? Copilot Venture Studio 邀你:与开发者、极客、行业 OG 共探 AI×Web3 未来! #AI #Web3 #OpenClaw #AIAgent x.com/i/spaces/1dGYl…
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DeepFlow
DeepFlow@DeepFlowcc·
1 Single Port: The End of the Desktop EraFlowOS replaces the traditional desktop with a single interaction gateway (Single Port). Icons, menus, taskbars, and windows are no longer the primary interface. The system defaults to a minimalist standby state, offering a persistent multimodal interface that supports natural inputs such as voice, text, visuals, and gestures. Users express intentions directly through human-like conversation (multimodal). The system understands and responds automatically. Visual content is generated only when necessary (such as charts or maps). This completely eliminates the cognitive burden of switching between applications, returning interaction to the natural flow of human-to-human communication. It also frees people from choosing software types or brands — they only need to provide their needs and ideas, letting agents handle the integration of all software pathways. 2 Agent Kernel Architecture: From Process Scheduling to Intent OrchestrationThe core is the agent kernel, which abstracts the complexity of hardware and traditional OS. Northbound Interface: Converts users’ multimodal natural inputs into structured intentions, maintains lifelong context, and supports interruptions, device switching, and long-term tasks. Southbound Interface: Through the multi-agent system (MAS), it decomposes intentions and distributes them to underlying files, networks, hardware, and external systems. The kernel also intelligently schedules LLM resources to ensure high concurrency and long-service stability. 3 Software Functions That Flow and Adapt on DemandTraditional Apps are replaced by modular skills. Users define skills in natural language (e.g., “When I receive an invoice email, automatically check the budget and generate payment”). The kernel instantly converts them into reusable modules. Skills can be freely combined into complex workflows, run persistently, and support cross-device and cross-system calls, forming a highly personalized lifelong workflow. 4 Data Mining and EvolutionFlowOS is fundamentally a continuous data-mining system. It builds a Personal Knowledge Graph (PKG) in real time, capturing behaviors, preferences, and history to enable ongoing learning and personalized evolution. Traditional OS is static logic; FlowOS is a dynamic, ever-evolving pipeline that understands you better over time. 5 Cross-Device Cross-System Long ServiceA new unified Device and System Mesh Layer automatically connects phones, PCs, wearables, IoT devices, and external systems such as Windows, macOS, and Android. Any task or skill can migrate seamlessly between devices, run persistently, and never lose its state. 6 Security and Privacy ProtectionLocal-first with zero-knowledge proofs. All long-term memory and reasoning happen on-device by default. Every operation can be audited via voice or text, giving users complete control. 7 OutlookThe rise of local autonomous agents (such as OpenClaw) has exposed the limitations of traditional OS. FlowOS redefines the operating system: Single Port + Human-like Interaction → as simple as talking to a person Agent Kernel + Skill Ecosystem → an intent-driven lifelong companion Data Mining + Long Service → a continuously evolving, cross-device persistent second brain Ultimately, the computer is no longer a tool. It becomes an intelligent partner that truly understands you, accompanies you for life, and works seamlessly across devices. Its core strength is the ability to understand and execute humans’ long-term intentions — becoming a one-to-one lifelong service and companion agent for every person, achieving the fusion and amplification of human capability with agent capability.
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DeepFlow
DeepFlow@DeepFlowcc·
📱 Our core builds on multimodal reasoning and GUI navigation, reconstructing leading GUI agent models into a unified Web3 agent layer. It handles browser dApps, wallet interactions, and smart contract calls autonomously. Our innovative cloud-edge hybrid balances performance, privacy, and cost—strategic for the AGI eve!
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DeepFlow
DeepFlow@DeepFlowcc·
🔒 As pioneers in AI-Web3 fusion, we're introducing a trusted architecture that automates complex Web3 interactions while ensuring ultimate privacy via TEE and hybrid cloud-edge setup. Seamlessly connecting exchanges, dApps, and protocols, we solve data privacy and efficiency pains, accelerating agentic, privacy-first decentralization.
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DeepFlow
DeepFlow@DeepFlowcc·
🌟 Doubao, the first AI-native smartphone, uses OS-level agents for screen sensing, intent reading, and cross-app tasks—loved by users but sparking debates on ecosystem entry and privacy. AutoGLM democratizes AI for real autonomous execution.
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DeepFlow
DeepFlow@DeepFlowcc·
Many friends have recommended OpenAI's AI Pin to me, but what's the logic behind this product? I've never quite understood it. Why would it attract 100 million users? From a product design perspective, its interaction experience doesn’t seem great, and in noisy environments, it might not even handle normal voice communication with users. The most plausible explanation might be its connection to Web3, where personal data is used as a way to earn tokens. @OpenAI
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DeepFlow
DeepFlow@DeepFlowcc·
An intelligent contract editor and contract publisher developed based on DeepFlow. You can load it on DeepFlow.cc for online use or further edit and modify this editor using natural language: deepflow.cc/git?url=https:…
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DeepFlow
DeepFlow@DeepFlowcc·
The newly released 8B model performs really poorly, and the testing feels even worse than the previous 7B. If the test results are not good, there’s really no need to release it; just releasing the 671B would be much better. @deepseek_ai
DeepSeek@deepseek_ai

🚀 DeepSeek-R1-0528 is here! 🔹 Improved benchmark performance 🔹 Enhanced front-end capabilities 🔹 Reduced hallucinations 🔹 Supports JSON output & function calling ✅ Try it now: chat.deepseek.com 🔌 No change to API usage — docs here: api-docs.deepseek.com/guides/reasoni… 🔗 Open-source weights: huggingface.co/deepseek-ai/De…

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DeepFlow
DeepFlow@DeepFlowcc·
🚀 DeepFlow ($DFlow) is revolutionizing @BNBCHAIN --- >First MCP engine launched >Only LLM knowledge base for BNB Chain >Pioneering AI coding platform for smart contracts #DeepFlow #BNBChain #AI
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DeepFlow@DeepFlowcc·
DeepFlow tends to view problems and solutions from a medium to long-term perspective; growth is inevitable.
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DeepFlow
DeepFlow@DeepFlowcc·
The following features are not visions or plans,they are functionalities that are already live.
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DeepFlow
DeepFlow@DeepFlowcc·
Musk needs DeepFlow for intelligent auditing of SpaceX's code, which could significantly reduce security risks caused by software. @SpaceX @elonmusk
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DeepFlow
DeepFlow@DeepFlowcc·
DeepFlow are building an MCP dev engine on BNB, bridging Web2 & Web3, Generate smart contracts via natural language, merge Web2 content with Web3 DeFi, lower dev barriers, connect payment APIs, and fuse Web2 social networks with Web3 communities, unlocking explosive new potential. 🚀 You can now visit our website to experience it. #Web3 #BNB @BNBCHAIN
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BNB Chain@BNBCHAIN

┳┻| ┳┻| ┻┳| ┻┳| ┳┻| ┳┻| ┻┳| ┻┳| ┳┻| ┳┻| ┻┳| ┳┻| ┻┳| ┳┻| _ ┻┳| •.•) hey..what are you building? ┳┻|⊂ノ ┻┳|

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DeepFlow@DeepFlowcc·
DeepFlow ($DFlow) is continuously building : >The first MCP engine launched on @BNBCHAIN >The only LLM knowledge base built for @BNBCHAIN >First AI coding platform for smart contracts >Paired with $USD1 #BNB #DeepFlow
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