{"repo":"hoangsonww/AI-Gov-Content-Curator","free":true,"listed":false,"github":"https://github.com/hoangsonww/AI-Gov-Content-Curator","clone":"git clone https://github.com/hoangsonww/AI-Gov-Content-Curator.git","description":"💡An end-to-end solution for aggregating, summarizing, and displaying news articles using an AI-powered backend, an automated CRON crawler & newsletter emailer, and a responsive Next.js frontend. It integrates technologies like Express.js, MongoDB, Puppeteer, and GenAI/LLMs to deliver up-to-date, curated content to government staff and other users.","language":"TypeScript","stars":30,"topics":["artificial-intelligence","axios","cheerio","crawler","docker","express","expressjs","mongodb","mongoose","nextjs"],"license":"MIT","category":"scrapers-browser-automation","readme_excerpt":"SynthoraAI - AI-Powered Article Content Curator [!TIP] SynthoraAI - Synthesizing the world’s news & information through AI. 🚀✨ The SynthoraAI - AI-Powered Article Content Curator is a comprehensive, AI-powered system designed to aggregate, summarize, and present curated government-related articles. This monorepo, multi-services project is organized into seven main components: - Backend: Provides a robust RESTful API to store and serve curated articles. - Crawler: Automatically crawls and extracts article URLs and metadata from government homepages and public API sources. - Frontend: Offers an intuitive Next.js-based user interface for government staff (and potentially the public) to browse and view article details. - Newsletter: Sends daily updates to subscribers with the latest articles. - Agentic AI Pipeline: Production-hardened multi-agent system on LangGraph + LangChain 1.x — resilience (retry/circuit-breaker/timeout), OpenTelemetry + Prometheus observability, a non-root container image, and Kubernetes/Helm/Terraform artifacts; zero known Python CVEs. - Chat Orchestration: TypeScript-based dual-provider (Anthropic + Google) chat layer with 16 specialized agents, intent routing, grounding validation, and cost tracking. - MCP Server + ACP Layer: Model Context Protocol server exposing the agentic pipeline as 28 tools, 14 resources, and 7 prompts (each wrapped by tool middleware ), plus a production-grade Agent Communication Protocol (ACP) for agent-to-agent messaging with R","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/AI-Gov-Content-Curator/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}