MiroFish-Offline

MiroFish-Offline builds a miniature society and watches what happens. Instead of feeding data into a statistical model, it creates hundreds of distinct agent-personas and simulates hour-by-hour public reaction to any document — press release, policy draft, financial report. It's prediction through simulation, not regression.

The fully local stack (Ollama + Neo4j) means no API calls and no data leaving your machine. Hybrid retrieval (0.7 vector + 0.3 BM25) with 768-d embeddings is a solid architecture choice. Nothing else does this offline — most prediction tools need cloud LLMs. The original MiroFish is cloud-based with crypto/blockchain ties.

Use this when you need to predict public sentiment before publishing something sensitive. Skip this unless you have a beefy local machine — Neo4j + Ollama + Flask needs real resources.

The catch: AGPL-3.0 license, so your modifications must be shared. And simulated personas are only as good as the LLM driving them — Ollama's local models are less capable than GPT-4 or Claude, which limits prediction quality.