
Aegis - Autonomous SRE Guardian is an AI-powered self-healing cloud operations system that monitors infrastructure, detects incidents, diagnoses likely root causes, executes safe remediation actions, and generates post-mortem reports automatically. The project uses a three-agent workflow: a Monitor Agent watches real-time logs and AMD cloud metrics, a Diagnosis Agent compares anomalies with historical incident memory, and a Remediation Agent applies predefined fixes over SSH. A React dashboard shows live logs, system health, agent status, remediation history, and incident timelines through WebSocket updates. The backend is built with FastAPI, Python, Paramiko, ReportLab, Pydantic, and vector-style incident storage. The frontend uses React, TypeScript, Vite, Tailwind CSS, and Recharts. Aegis fits the AI Agents & Agentic Workflows track because it demonstrates a real end-to-end agent loop for cloud reliability. For AMD, the system is designed to run against AMD cloud infrastructure today, with a clear path toward ROCm-powered open-source model inference and future fine-tuning on SRE runbooks and incident history.
10 May 2026

ArcPay is a per-API monetization engine built on Arc blockchain using Circle USDC and Nanopayments. Every API request costs $0.001 USDC — paid onchain, verified before response, settled in under a second. The system works as follows: a client pays $0.001 USDC to our NanoPayment smart contract on Arc, includes the transaction hash in their API request header, our server verifies the payment onchain, and only then does the Gemini 2.0 Flash AI agent process and return a response. We demonstrated 55+ onchain transactions during our demo, each at $0.001 USDC per call, proving the economic viability of this model. This would be completely impossible on Ethereum where gas fees of $2+ per transaction would make $0.001 pricing economically unviable. On Arc, transaction costs are a fraction of a cent, enabling 98%+ margins on sub-cent pricing. The project targets two tracks: Per-API Monetization Engine and Agent-to-Agent Payment Loop. The Gemini AI agent autonomously processes paid requests, representing a real machine-to-machine commerce flow where intelligence is monetized per query. Technologies used: Arc (settlement), USDC (payment token), Circle Nanopayments, Gemini 2.0 Flash (AI agent), Solidity + Foundry (smart contract), Node.js + Express (API server). Contract deployed at: 0xAfDfc3341fdBec40843eD99633A6cA1B32B0298d on Arc Testnet.
26 Apr 2026