666ghj/BettaFish — 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。

Description and use

Here's a brief summary:

666ghj/BettaFish is an open-source, multi-agent sentiment analysis tool that enables users to break through information bubbles and gain a deeper understanding of public opinion. This Python-based project helps users create repeatable workflows by coordinating multiple agents, adding tool-use pipelines, and standardizing agent memory. With its recent activity, strong adoption, and robust ecosystem signals, BettaFish is highly production-ready for serious pilots.

**Value:**
666ghj/BettaFish provides a valuable solution for users who want to analyze sentiment and make informed decisions. Its ability to break through information bubbles and predict future trends makes it an essential tool for anyone working with public opinion data.

**Practical adoption path:**
To adopt BettaFish, users should start by reviewing the README and implementing a small proof of concept. This will allow them to evaluate the integration process and ensure that the tool meets their specific needs. As users become more comfortable with the tool, they can begin to scale up their workflows and integrate multiple agents.

**Production readiness:**
BettaFish has a high production readiness score due to its recent activity, strong adoption, and robust ecosystem signals. With 41,932 GitHub stars, 7,626 forks, and regular updates, the project is well-maint

Problem

666ghj/BettaFish helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

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。

Source