MarketFish is an open-source multi-agent simulation engine that uses 128 AI consumers to predict product success, churn patterns, and market viability before a formal commercial launch.

Key Points

• The engine utilizes 11 global and Chinese LLM providers to simulate diverse consumer identities, budgets, and biases.
• It features a five-stage pipeline that processes seed data into a knowledge graph to generate realistic agent purchase decisions.
• The platform is built on six academic frameworks, including Generative Agents and TwinMarket, to model cognitive loops and social influence.
• Users can run simulations in three modes—Explore, Validate, and Hybrid—to test product ideas against AI-driven competitors.
• The software is released under an MIT license, allowing for free personal and commercial use without external dependencies.

Why it Matters

MarketFish provides businesses with a low-cost, data-driven method to stress-test product concepts against simulated market pressures before committing capital. By leveraging multi-agent systems, companies can identify potential failure points and optimize pricing strategies based on realistic consumer behavior models.