Multi-Agent Public Opinion Analysis System: Breaking the Information Cocoon and Enhancing Intelligent Decision-Making | Open Source Daily No.802
666ghj / BettaFish
Stars: 24.1k License: GPL-2.0
BettaFish is a multi‑agent public opinion analysis system built from scratch, aimed at breaking the information bubble, restoring an accurate view of public sentiment, and predicting trends to support decision‑making.
Key Features
- AI‑driven global monitoring of 30+ domestic and international social media platforms, with massive comment analysis for real‑time hot topic tracking.
- Composite analysis engine combining specialized agents, fine‑tuned models, and statistical models to improve depth and accuracy.
- Multimodal capability to parse short videos and structured info cards, integrating text, images, video, and other data sources.
- Unique “forum” collaboration mechanism enabling chain‑of‑thought debates between agents for collective intelligence.
- Integration of public and private data, merging internal business databases with public opinion datasets for vertical industry insights.
- Lightweight pure Python design with one‑click deployment and customization, adaptable for business scenarios like financial market analysis.
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sst / opentui
Stars: 4.6k License: MIT
opentui is a TypeScript library for building Terminal User Interfaces (TUI).
Key Features
- Standalone core library `@opentui/core` with imperative APIs and basic components.
- Renderers available for multiple frameworks: React, SolidJS, and (discontinued) Vue.
- Go language bindings (currently unmaintained).
- Dev environment with linked scripts for rapid cross‑project integration and hot reload.
- Note: Project under development — not yet production‑ready.
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NickvisionApps / Parabolic
Stars: 4.4k License: GPL-3.0
Parabolic is a front‑end tool based on `yt-dlp` for downloading online video and audio.
Key Features
- Download video/audio from multiple websites.
- Choose output formats: mp4, webm, mp3, opus, flac, wav.
- Run multiple download tasks simultaneously.
- Save video metadata and subtitles.
- Cross‑platform GNOME and WinUI interfaces.
- Developed in C++20 with `cmake` build system.
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jamwithai / arxiv-paper-curator
Stars: 1.3k License: MIT
arxiv-paper-curator is a production‑grade Retrieval‑Augmented Generation (RAG) system designed for learners to master the development of modern AI research assistants.
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Step-by-Step Infrastructure Build
Includes Docker, FastAPI, PostgreSQL, OpenSearch, Airflow
Workflow
- Set up core components: Docker, FastAPI, PostgreSQL, OpenSearch, Airflow.
- Automate data pipelines to fetch and parse academic papers from arXiv.
- Implement BM25 keyword search with filtering and relevance scoring.
- Add intelligent text segmentation and hybrid retrieval combining keyword and semantic search.
- Build a complete RAG pipeline, integrate local LLMs, enable streaming responses, and create a Gradio UI.
- Use Langfuse for monitoring/tracing and Redis caching for optimization in production.
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GoogleCloudPlatform / vertex-ai-creative-studio
Stars: 576 License: Apache-2.0
vertex-ai-creative-studio is a Vertex AI demonstration project showcasing generative media capabilities with Google Cloud APIs.
Key Features
- Integrates Imagen, Veo, Gemini (including Gemini TTS), Chirp 3, and Lyria.
- Generates multimodal content:
- Image: Imagen 3/4, virtual try‑on
- Video: Veo 2/3
- Music: Lyria
- Speech: Chirp 3 HD, Gemini TTS
- Workflow examples:
- Character consistency maintenance
- Shopping outfit recommendations
- Mood board creation
- Interior design assistance
- Experimental apps:
- Countdown video generator
- Multi‑stage brand video pipeline
- Text‑to‑storyboard video platform
- Built on Mesop (Google open‑source Python framework) with support for Studio‑style layouts.
- Includes prompt optimization tools and model context protocol server for advanced agent capabilities.
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AI Publishing & Monetization Ecosystems
Modern AI projects often integrate directly with platforms that connect model output → distribution → revenue.
One notable open-source option is AiToEarn:
- Global AI content monetization platform.
- Cross‑platform publishing to Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X.
- Integrates AI generation tools, analytics, and model rankings.
- Can bridge infrastructure projects with publishing workflows, enabling direct monetization of AI‑driven creations.
📚 See AiToEarn Documentation or GitHub Repository for details.
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If you want, I can also add visual architecture diagrams showing how components like Docker, FastAPI, PostgreSQL, and RAG pipelines connect across these projects for easier understanding. Would you like me to do that?
