MiroFish ships multi-agent forecasting engine

MiroFish is more ambitious than the average agent demo because it is trying to make simulation itself the product, not just chat. That makes it intriguing for AI builders, but it still reads more like an experimental forecasting sandbox than a proven prediction system.

• –The workflow goes beyond prompt chaining: it builds graphs from seed inputs, generates personas and environments, runs parallel simulations, and then hands results to a report agent
• –The README says the simulation layer is powered by CAMEL-AI's OASIS project, which gives the repo a real open-source foundation instead of a purely marketing-heavy pitch
• –Deployment looks developer-friendly, with source and Docker paths, OpenAI-compatible LLM APIs, and recommended integrations like Qwen-plus and Zep Cloud
• –Demo scenarios span public-opinion forecasting and even literary ending simulation, which shows how broad the framework is but also how loosely “predict anything” should be interpreted
• –The AGPL-3.0 license and big system scope will matter for teams evaluating whether this is a hackable research platform or something they can adopt directly in production