Could AI assist in governing a state? This post explores a self-hosted, privacy-first AI Government Cabinet simulation built with n8n, Ollama, and Qdrant, detailing the agentic workflows that power this complex experiment. Discover how these tools come together to bring a digital government to life.

KyneSys Labs

TheCookingSenpai

Anthropic

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A detailed technical exploration of building a multi-agent AI government simulation using self-hosted tools. The system uses n8n for workflow orchestration, Ollama for local LLM inference, and Qdrant for vector storage. The architecture features a main orchestrator that delegates tasks to specialized AI 'ministers', each equipped with domain-specific knowledge bases through RAG implementation. The project demonstrates complex agentic workflows with three main components: a central dispatcher, reusable minister agents with specialized knowledge access, and a knowledge ingestion system for maintaining vector databases.

Government AI - Simulating a Government Cabinet with n8n, Ollama and Qdrant