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CrisisNet — Multi-Agent Crisis Coordination
CrisisNet is a multi-agent AI system built for food and energy security decision support. When a crisis hits — drought, energy spike, supply chain collapse, or market shock — analysts across agriculture, logistics, energy, and finance each build their own picture separately. By the time the reports reach a decision-maker, the window for early intervention has closed. CrisisNet solves this by deploying five specialised AI agents simultaneously: a Farmer agent analysing crop yields and climate risk, a Logistics agent mapping supply routes and bottlenecks, an Energy agent tracking grid load and fuel prices, a Market agent monitoring demand signals and speculation, and a Regulator agent that synthesises all four into a final policy recommendation. Each agent queries a domain-specific vector knowledge base (ChromaDB RAG) built from real FAO reports, USDA stock data, and regional agricultural statistics before calling an open-source LLM via Featherless AI. Agents coordinate through Band AI's platform — every finding is published to a shared Band Room with a full audit trail. A coordinator automatically detects conflicts between agent signals — for example, when market price recommendations contradict supply shortage data. The Regulator agent then issues a structured policy decision: emergency imports, reserve releases, subsidy plans, price controls — with a calibrated confidence score. If confidence falls below 70% or critical thresholds are breached, the system escalates to a human with a clear explanation. The output is a professional PDF report ready to share with a minister — crop forecasts by region, logistics route plans with costs, price recommendations per commodity, and subsidy proposals with budget estimates. Built on FastAPI, Band AI, Featherless AI, ChromaDB, and React.
19 Jun 2026
