{"repo":"heripo-lab/llm-newsletter-kit-core","free":true,"listed":false,"github":"https://github.com/heripo-lab/llm-newsletter-kit-core","clone":"git clone https://github.com/heripo-lab/llm-newsletter-kit-core.git","description":"An extensible framework to automate your entire newsletter workflow. Handles data collection, LLM-based content analysis, and email generation, letting you focus on your unique domain logic.","language":"TypeScript","stars":49,"topics":["automation","email-automation","framework","llm","newsletter","toolkit"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"LLM Newsletter Kit Automate domain-expert newsletters powered by AI Important: Code of Conduct • Security Policy • Contributing What is this? A type‑first, extensible toolkit that automates LLM‑based newsletter creation end‑to‑end. It orchestrates Crawling → Analysis → Content Generation → Save (with optional preview email), and every stage is swappable via DI‑capable Provider interfaces so you can plug in your own crawlers/LLMs/DB/logging. Built‑in operational features (retries, chain options) help control cost and improve reliability. - Type-first design (TypeScript, ESM) with strong contracts - Flexible dependency injection: easily swap Crawling/Analysis/ContentGenerate/Task/Logging/Email - Operational features built-in: retries, chain options, preview email sending, etc. - Rollup build (ESM+d.ts), Vitest 100% coverage, GitHub Actions CI included Project Background This project originated from a Korean cultural heritage newsletter service called “Research Radar.” It was architected by Kim Hongyeon , a unique archaeologist-turned-software engineer . Driven by a question he held for over a decade— \"Why must research be such grueling manual labor?\" —he combined his domain expertise with 10+ years of engineering experience to solve this problem. After completing an academic research project on A Study on Archaeological Informatization Using Large Language Models (LLMs), a personal automation script created to keep up with academic trends evolved into a service with a high enga","default_branch":null,"files":null,"tree":[],"storefront":"/r/heripo-lab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/heripo-lab/llm-newsletter-kit-core/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."}