BettaFish

What the project is

BettaFish is a Python project hosted on GitHub. 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 [!IMPORTANT] 查看我们最新发布的预测引擎：MiroFish-简洁通用的群体智能引擎，预测万物 “数据分析三板斧”全线贯通：我们激动的宣布 MiroFish 正式发布！随着最后一块版图补齐，我们构建了从 BettaFish（数据收集与分析）到 MiroFish（全景预测）的完整链路。至此，从原始数据到智能决策的闭环已成，让预见未来成为可能！ The repository is maintained by 666ghj and tracks activity through its public issue tracker and commit history. Readers who want a working example rather than a bare library will find the documentation and the linked resources useful for getting a first build running.

What it offers

The BettaFish repository documents several concrete capabilities that shape how people use it. AI驱动的全域监控 ：AI爬虫集群7x24小时不间断作业，全面覆盖微博、小红书、抖音、快手等10+国内外关键社媒。不仅实时捕获热点内容，更能下钻至海量用户评论，让您听到最真实、最广泛的大众声音。 超越LLM的复合分析引擎 ：我们不仅依赖设计的5类专业Agent，更融合了微调模型、统计模型等中间件。通过多模型协同工作，确保了分析结果的深度、准度与多维视角。 强大的多模态能力 ：突破图文限制，能深度解析抖音、快手等短视频内容，并精准提取现代搜索引擎中的天气、日历、股票等结构化多模态信息卡片，让您全面掌握舆情动态。 Agent“论坛”协作机制 ：为不同Agent赋予独特的工具集与思维模式，引入辩论主持人模型，通过“论坛”机制进行链式思维碰撞与辩论。这不仅避免了单一模型的思维局限与交流导致的同质化，更催生出更高质量的集体智能与决策支持。 公私域数据无缝融合 ：平台不仅分析公开舆情，还提供高安全性的接口，支持您将内部业务数据库与舆情数据无缝集成。打通数据壁垒，为垂直业务提供“外部趋势+内部洞察”的强大分析能力。 These points are taken from the project README, so they reflect what the maintainers actually ship rather than marketing claims. Checking the file list and the example directories gives a fuller picture of how each piece fits together.

How to set it up

Getting BettaFish running starts with cloning the source from https://github.com/666ghj/BettaFish. The README lists the commands needed to fetch the code and build or launch it. Representative steps from the documentation include: docker compose up -d pip install -r requirements.txt python app.py python app.py. After the code is on disk, the project instructions walk through configuration and any dependencies. Following the order shown in the README avoids the common setup mistakes that come from mixing steps.

License and project status

BettaFish is written primarily in Python and is released under the GPL-2.0 license, which sets the terms for reuse and redistribution. The project reports around 42072 stars on GitHub, a signal of how many developers have bookmarked it. The source was last updated on 2026-08-24. The canonical location is https://github.com/666ghj/BettaFish, where the license file, the changelog and the open issues give the most current state of the work. Anyone planning to depend on it should read the license text directly before shipping it inside another product.

Editorial conclusion

The BettaFish source lives at https://github.com/666ghj/BettaFish under the GPL-2.0 license and is mainly written in Python. The README and the linked examples remain the place to confirm the current behaviour before adopting the project.