Automatisierung
ketch
Quick, stateless CLI for web search and scrape.
★ 688 SterneMIT
Anleitung ansehen →resume-lm ist ein Open-Source-Projekt aus der Kategorie Automatisierung von olyaiy (olyaiy/resume-lm auf GitHub). Es hat 329 Sterne auf GitHub und 128 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 14. September 2026 auf GitHub aktualisiert.
Open source AI resume builder, Next.js 15, React 19, Tailwind CSS
Clone olyaiy/resume-lm and move into the project folder.
Install Node dependencies with npm (or your preferred package manager).
Connect your accounts and set the workflow inputs.
Trigger it once manually, then schedule it.
Built around artificial intelligence from the ground up.
Cover letter generation.
Uses large language models for its core features.
Next.js web app — fast, modern frontend.
Works with OpenAI models and APIs.
Focused on pdf as a core part of the project.
Download the source and move into the project folder.
git clone https://github.com/olyaiy/resume-lm.git
cd resume-lmSet up what the project needs to run.
npm installStart the app — the README has the exact command and flags.
npm run dev # or npm start — see package.jsonAGPL-3.0 licensed — copyleft, including network use.
The app itself is free; cloud models need your own API key and are billed by the provider. Local models cost nothing to run.
Clone the repo and run npm install — the README covers the rest.
The GitHub repo's issues and discussions are the main support channel.
Last pushed 2026-09-14 with 128 forks. Skim recent commits to gauge momentum before relying on it.
Quick, stateless CLI for web search and scrape.
Open source lead generation and marketing automation.
Upload spreadsheets, auto-produce chart reports, and ask questions via chat.
React SDK for embedding drag-and-drop workflow editors in your product.
Run ai_find_customer locally: 面向外贸与 b2b 场景的 ai 客户挖掘系统，基于 fastapi、langgraph 和 react，实现.
Generate a polished, professional resume in just a few clicks.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.