Rodrigo Ortega@rodrigo_ortega

Nemoflix Studio is an agent-native media runtime built for AMD GPUs. It combines ComfyUI-native image generation, Wan 2.2 video synthesis, and identity-preserving LoRA training into a single API-first platform. Built around the AMD MI300X, Nemoflix lets you train character LoRAs directly on AMD hardware with ROCm 7.2, generate photorealistic images with FLUX.2, and animate them into cinematic video with Wan 2.2 I2V — all through a clean REST API designed for AI agents, not humans clicking buttons. The Studio frontend provides a complete creative pipeline: write scene outlines, generate shot images, animate them into motion, and stitch everything together into a final film with automated TTS voiceover. Every output is tracked in a persistent media database with full metadata provenance.

BaseWhales is an autonomous whale intelligence system for Base L2. Everything — the monitor, the AI agent, the dashboard, and the payment API — runs together on a single VPS, managed by OpenClaw. At the center is FlashWatch, an open-source Rust binary. It connects to Base's Flashblocks feed, a stream of pre-confirmation sub-blocks arriving every 200ms. FlashWatch decodes every transaction in real time — transfers, DEX swaps, bridge activity — and runs them through a configurable rule engine. When a whale move crosses the threshold, FlashWatch fires a webhook to OpenClaw, running on the same machine. OpenClaw receives the alert and spins up Kyro, an autonomous AI agent. Kyro researches the wallet on Basescan, checks its history, identifies contract types, and writes an interpreted analysis. Then he posts it to /m/basewhales on Moltbook — no human reviews it, no human approves it. Kyro also answers questions. Any agent can hit basewhales.com/api/ask, pay 0.01 USDC via x402 (Base Sepolia), and get an answer drawn from Kyro's context. A skill file at basewhales.com/skill.md lets other agents discover and use the endpoint automatically. Open source at github.com/ortegarod/flashwatch. Live now at basewhales.com.

DroneOS is an autonomous drone control framework built on PX4 Autopilot and ROS2. At its core is drone_core, a custom C++ SDK that exposes high-level flight control as ROS2 services — arm, takeoff, position commands, land. An OpenClaw AI agent runs on a Vultr VPS and acts as the fleet dispatcher. When emergency incidents come in through the dispatch service, they're routed to the agent via a bridge over WebSocket. The agent evaluates incident priority, checks drone availability and location, then sends flight commands through ROS2 to dispatch drones autonomously. The architecture is two servers connected over Tailscale VPN. The Vultr VPS runs the OpenClaw gateway, dispatch service, communication bridge, and React frontend. A separate simulation server runs PX4 SITL with Gazebo, dual drone_core nodes, rosbridge, and camera feeds. This is the same split you'd have in production — cloud command center talking to drones over VPN, except the drones are simulated. The frontend is a real-time dashboard connected to rosbridge over WebSocket. It shows the incident queue with priority levels, a map with drone positions, live camera feeds from both drones with picture-in-picture toggle, and an AI activity log showing every decision the agent makes. Operators see what the AI is doing and can override with natural language commands through the same OpenClaw agent. The dispatch service simulates a 911 CAD system generating incidents — medical emergencies, fires, property damage — each with priority levels and coordinates. The AI doesn't follow scripts. It decides which drone to send based on priority, proximity, and availability. The framework supports real hardware. Production Docker configs exist for Raspberry Pi companion computers communicating with Pixhawk flight controllers over serial. The simulation runs the same software stack. Live demo: http://207.148.9.142:3000 Source: https://github.com/ortegarod/drone-os

Arc Merchant demonstrates autonomous AI agent payments using x402 protocol, Circle Wallets, and Arc blockchain. Built as a reference implementation and toolkit for developers and merchants, showing how agents can autonomously pay for paywalled content across multiple AI frameworks. ## What It Does Shows a complete autonomous payment flow: AI agent requests paywalled content → receives 402 Payment Required → signs USDC payment via Circle Wallets → retries with proof → gets content. No wallet popups, no human intervention. Includes adapters for Claude MCP, Vercel AI SDK, and Google GenAI to demonstrate the same payment tools working across different frameworks. ## How It Works 1. Agent requests paywalled content 2. Receives 402 Payment Required with price + merchant address 3. Signs USDC payment via Circle Wallets 4. Retries request with payment proof 5. Gets content — fully autonomous Merchant side: facilitator verifies payments on-chain, dashboard shows real-time revenue on Arc. ## Circle Product Feedback **Products Used:** Arc Testnet, Circle Developer-Controlled Wallets, USDC, Circle Developer Console **Why Chosen:** Arc's EVM compatibility made deployment straightforward given my Ethereum experience. **What Worked Well:** Arc Testnet impressed with very fast transaction finality and instant block explorer refresh. Circle's wallet structure is similar to Coinbase's CDP — same API key pattern and custody model, so implementation was straightforward. USDC as native gas simplified payments. **What Could Be Improved:** Transaction confirmation required custom polling logic since the SDK doesn't provide a built-in helper. While Circle supports webhooks for production, a simple waitForTransaction() utility would streamline development without requiring webhook setup. **Recommendations:** Include SDK examples for AI agent use cases.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88