Live GitHub stats, community sentiment, and trend data for Mirofish. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.
GitHub data synced: May 24, 2026 • Sentiment updated: Jun 22, 2026
Community Buzz: DEV users say 'MiroFish is an exciting project' and GitHub users discuss its 'explosive growth'
Innovative technology, Active community on GitHub and DEV
Buggy releases, Documentation issues
Biggest Positive: Innovative tech
Biggest Negative: Buggy releases
MiroFish stands out from other AI prediction engines due to its unique multi-agent approach, which enables the construction of high-fidelity parallel digital worlds. This approach allows for the simulation of complex systems and the prediction of future outcomes with unprecedented accuracy.
Build a research agent that reads 50 papers and writes a literature review — DeerFlow chains search, extraction, and synthesis agents automatically., Build a public opinion simulator for a major election — MiroFish constructs a parallel digital world with intelligent agents that interact and evolve over time., Build a financial forecasting model that takes into account social media sentiment — MiroFish's graph-based approach enables the integration of diverse data sources., Build a swarm intelligence-based recommender system for e-commerce — MiroFish's agent configuration injection enables personalized product suggestions., Build a virtual reality experience for historical events — MiroFish's simulation capabilities enable the recreation of complex historical scenarios.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
Official site: https://mirofish.ai
Category: multi-agent
Tags: agent-memory, financial-forecasting, future-prediction, knowledge-graph, llms, multi-agent-simulation, public-opinion-analysis, python3, social-prediction, swarm-intelligence
Competing with other AI projects