MiroFish-Offline and MiroFish-local

These are competing implementations of the same offline multi-agent simulation framework, with the first being an English fork using Neo4j + Ollama and the second being a Chinese version using Graphiti + Neo4j as alternatives to paid services—users would choose one based on language preference and specific backend requirements rather than use both together.

MiroFish-Offline
67
Established
MiroFish-local
52
Established
Maintenance 23/25
Adoption 10/25
Maturity 9/25
Community 25/25
Maintenance 13/25
Adoption 8/25
Maturity 13/25
Community 18/25
Stars: 635
Forks: 149
Downloads:
Commits (30d): 22
Language: Python
License: AGPL-3.0
Stars: 59
Forks: 15
Downloads:
Commits (30d): 0
Language: Python
License: AGPL-3.0
No Package No Dependents
No Package No Dependents

About MiroFish-Offline

nikmcfly/MiroFish-Offline

Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.

This tool helps you test public reaction and sentiment to a document, like a press release or policy draft, before it goes live. You provide a document, and it generates a simulation of hundreds of unique AI agents interacting on social media, showing you how opinions might shift and topics spread. Market researchers, PR professionals, policy analysts, and strategists can use this to anticipate public response.

public-relations market-research policy-analysis social-dynamics sentiment-forecasting

About MiroFish-local

tt-a1i/MiroFish-local

MiroFish的免费本地运行版本 | Graphiti+Neo4j替代付费Zep | 简易便捷跑通项目

This tool helps researchers, strategists, and analysts simulate real-world social dynamics and market sentiment. You feed it news articles, reports, or other seed materials, and it generates a simulated society with intelligent agents that interact and evolve. The output is a predictive report on public opinion, market reactions, or policy impacts, allowing you to test scenarios and explore outcomes.

social-simulation market-sentiment-analysis policy-impact-assessment public-opinion-forecasting crisis-management

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