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#1010th of 42 in Agent platformsFor data and documents, data analysis

bettafish

Multi-agent public opinion analysis over social media and web search

Repository on GitHub ↗ (opens in a new tab)
Stars
42.5k
License
GPL-2.0
Last commit
Oct 2026
Last release
Dec 2025
Language
Python

Missed the latest GitHub check; these facts may be older.

Overview

BettaFish (微舆) runs Query, Media and Insight agents in parallel over web search and crawled social media data. A forum mechanism with an LLM moderator steers them across rounds, and a Report agent renders an interactive HTML report, with optional PDF and Markdown export. A Flask app serves the UI, and a bundled crawler (MindSpider) fills a PostgreSQL or MySQL database.

Who it is for: Analysts and developers who want self-hosted social media sentiment reports

Ranked among open-source alternatives to Copilot Studio (#10 of 10).

Strengths

  • Bundles crawler, sentiment models (BERT, GPT-2, Qwen3 LoRA) and report renderer in one Python codebase
  • Forum engine lets agents exchange findings over several rounds before the report is written
  • Any OpenAI-compatible LLM API, configurable per agent through a single .env file
  • Each agent also runs standalone as a Streamlit app; a CLI regenerates reports from earlier runs

Weaknesses

  • Needs a PostgreSQL or MySQL database, and crawling is run separately before there is data
  • Main README is in Chinese; English docs live in a separate file
  • Built for opinion analysis; other domains require editing agent tools and prompts
  • PDF export needs extra system libraries for WeasyPrint

What it needs

  • RAM ≥ 2 GB
  • GPU optional
  • Docker + Compose
  • Needs PostgreSQL or MySQL, OpenAI-compatible LLM API, Playwright Chromium (crawler), WeasyPrint system libraries (PDF export, optional)
  • Models: OpenAI-compatible API
  • port 5000

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