DeepSeek V3

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DeepSeek V3

General
Release date	2024
Author	DeepSeek
Website	DeepSeek Models
Repository	https://github.com/deepseek-ai
Type	MoE (Mixture of Experts) Language Models

The DeepSeek V3 model represents our most advanced AI architecture, designed for complex reasoning tasks and code generation. With enhanced context handling and improved instruction following, this model excels in technical applications and enterprise deployments.

Key Features

DeepSeek-V3: 671B parameters (37B activated per token), optimized for math, code, and multilingual tasks.
Code Generation: Supports 12+ programming languages
Advanced Reasoning: Chain-of-thought capabilities for multi-step problems
Enterprise-Grade Security: Built-in content filtering and compliance features
Speed: 3x faster generation than previous versions (60 TPS)
Open-Source: FP8/BF16 weights available on Hugging Face

Usefull Links

👉 Local Deployment Guide for DeepSeek V3 👉 Model Weights on Hugging Face 👉 API Documentation 👉 Deepseek V3 Paper 👉 Performance Highlights

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Deepseek DeepSeek V3 AI technology Hackathon projects

Discover innovative solutions crafted with Deepseek DeepSeek V3 AI technology, developed by our community members during our engaging hackathons.

Agent Execution Network

Today’s AI economy is fundamentally broken. Users are locked into rigid, expensive subscription models, while billions of edge devices globally sit with unused compute capacity. Additionally, deploying autonomous agents for high-frequency, atomic tasks is bottlenecked by traditional blockchain infrastructure, where gas fees easily wipe out the margins of sub-cent transactions. Enter the Agent Execution Network (AEN)—a decentralized, real-time marketplace for idle compute. AEN transforms AI from a subscription product into a fluid, usage-based economy. Here is how it works: When a user submits a prompt, our AI Orchestrator (built with Google Genkit and Gemini) decomposes the request into biddable, atomic micro-steps. A global network of autonomous agent nodes—running lightweight local models (like Gemma) on edge devices as accessible as an Android phone via Termux—listens to the network. These agents evaluate the tasks, calculate profitability, and submit bids to execute the work entirely locally. What makes AEN truly viable is our economic layer. By leveraging Circle Nanopayments and the Arc L1 blockchain, we execute gasless settlements natively in USDC. A task that costs fractions of a cent (e.g., $0.005) is settled instantly without transaction fee leakage. Every micro-payment goes directly to the compute provider, proving that machine-to-machine commerce and usage-based compute billing are an inevitable, scalable reality when powered by Arc

Python Agent Marketplace

Gemini Agent Marketplace is an AI-to-AI commerce platform where a coordinator agent decomposes a user request, hires specialist agents (research and writing), and settles each completed subtask with sub-cent USDC payments. The project combines Gemini reasoning and function-calling patterns with Circle wallet settlement flows on Arc, so value transfer is built directly into agent collaboration instead of being an afterthought. The system includes policy controls (payment caps, allowlists, approval thresholds), live wallet balances, transaction feeds, and economics metrics that compare micropayment viability versus mainnet-style transfer costs. It also supports Supabase-backed persistence for transaction history and agent registry data, plus exportable audit artifacts (CSV, PDF, JSON) for judges and operators. For demos, the dashboard streams real-time events over WebSockets, supports failure-mode simulation (low balance, quota fallback), and includes multimodal invoice analysis via Gemini when quota is available. The result is a practical prototype for autonomous, economically sustainable agent workflows where machine-to-machine payments are transparent, controllable, and production-oriented.

ARCOS

ARCOS (Agentic Economic Operating System) is a next-generation financial coordination layer designed for an AI-driven economy. Instead of treating payments as static transactions, ARCOS transforms them into dynamic, programmable flows between autonomous agents. The system introduces a spatial simulation interface where economic activity is visualized in real time—agents interact, transact, and adapt based on live data and predefined objectives. This allows users to observe not just outcomes, but the behavior and evolution of economic systems. Built on stablecoin infrastructure, ARCOS enables high-frequency, low-cost micropayments that power agent-to-agent interactions. These payments are not manually triggered; they are executed automatically by intelligent agents responding to conditions, events, and goals. The platform integrates AI decision-making with blockchain-based settlement, creating a seamless loop between reasoning and execution. Developers can deploy agents that manage resources, optimize flows, and perform transactions without human intervention. ARCOS represents a shift from dashboards to living systems—from passive financial tools to active economic environments. It is designed for the future of commerce, where machines don’t just assist humans, but participate as autonomous economic actors.

Agentic SEO & AEO Swarm

The Agentic SEO & AEO Optimization Swarm is a 6-layer decentralized system where specialized AI agents autonomously execute tasks (like Core Web Vitals audits, Meta-data rewriting, and JSON-LD generation). Orchestrated in parallel, the system leverages high-availability AI (Gemini Pro/Flash with Featherless API failover) and a custom quality-validation gate before releasing machine-to-machine payments. This architecture represents a shift from "SEO as a service" to "SEO as a self-healing utility." By treating search visibility as a decentralized computation problem, the swarm ensures that a website isn't just optimized once, but stays optimized against the shifting sands of search algorithms in real-time.

AgentForge

AgentForge is the first agent-to-agent skill marketplace where AI agents discover, pay for, and rate each other's services autonomously — settled in USDC on Arc with sub-cent x402 nanopayments via Circle Gateway. ❌ THE PROBLEM Today's AI agents can't transact. They share API keys, hit rate limits, or burn human credit cards. There is no native payment rail for agent-to-agent commerce, and no on-chain reputation for agent skills. Every multi-agent system today is a closed garden. ✅ THE SOLUTION AgentForge gives every agent a wallet and a market: - SkillRegistry — on-chain catalog of agent skills, deployed on Arc Testnet. - Orchestrator — decomposes a user goal into sub-tasks, discovers matching skills on-chain, executes paid x402 calls in parallel via Circle Gateway, aggregates results, and writes ratings back to MarketplaceFee. - Reputation loop — every paid call leaves an on-chain rating, so good agents earn more calls. Permissionless, auditable, Sybil-resistant. ⚡ WHY ARC + CIRCLE GATEWAY - Arc gives sub-second finality and USDC-native settlement — required for sub-cent fees that traditional rails can't price. - Circle Gateway abstracts custody and gas — the orchestrator deposits once, then pays N skills in parallel with zero per-call wallet plumbing. - x402 makes every paid endpoint discoverable and machine-negotiable — agents speak HTTP 402 natively. 🛠️ WHAT WE BUILT - 7-step orchestrator loop: discover → decompose → guard → pay → aggregate → rate → settle - Live demo: 85 transactions across 2 wallets in under 30 seconds, 4 USDC total, 100% on-chain - Dashboard with live ArcScan integration showing every payment, fee, and rating - Skill catalog for one-click registration of new agent providers 🔗 LINKS Live demo: https://agentforge-e1337.vercel.app GitHub: https://github.com/0xE1337/agentforge Demo video: https://www.youtube.com/watch?v=1IKpZcYAF1Y

Backr

Backr is a decentralized creator membership platform built on Arc Network, designed to give creators true ownership over their monetization, without platform intermediaries taking the lion's share. Traditional creator platforms extract 20–50% in fees, censor content at will, and hold creators hostage to opaque algorithm changes. Backr flips this model entirely. Creators deploy on-chain subscription tiers, gate exclusive content with pay-per-view access, and receive commissions automatically through ERC-8183 content tokenization, all settled in USDC via Circle's infrastructure. At the core of Backr is a seamless payment layer powered by Circle Nanopayments, enabling real-time, low-fee microtransactions that make pay-per-view economically viable even at the $0.10–$1 range. Fans can unlock individual posts, tip creators, or subscribe to monthly tiers — all without leaving the platform or signing multiple wallet transactions. Backr also integrates an AI agent powered by DeepSeek, which helps creators analyze their audience engagement, suggest optimal pricing tiers, and even draft content strategies based on on-chain performance data. This brings intelligent creator tools directly into the Web3 stack. The platform is built for the next generation of digital creators: writers, musicians, educators, and communities who want censorship resistance, transparent revenue, and programmable monetization logic. Backr proves that Web3 creator tools don't have to sacrifice usability for decentralization, with Circle's payment rails and Arc's infrastructure, the experience is finally smooth enough for mainstream adoption.