Code & Development · GitHub ·3 ★

Agentic-Articles

AgentArticle is an AI-driven application that streamlines content creation by combining web scraping, NLP, and AI tools to produce high-quality articles for LinkedIn and other social media platforms. It integrates APIs and Selenium automation, making it perfect for professionals, content creators, a

Details

Author
DissanayakeLYB
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
3
First indexed
2026-05-15
Last active
2025-01-16
Directory sync
2026-05-15

Overview

AgentArticle is an AI-driven application that streamlines content creation by combining web scraping, NLP, and AI tools to produce high-quality articles for LinkedIn and other social media platforms. It integrates APIs and Selenium automation, making it perfect for professionals, content creators, a

Quick start

git

git clone https://github.com/DissanayakeLYB/Agentic-Articles

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Agentic-Articles can do

  • Article — article task automation.
  • Api — api task automation.
  • Content — content task automation.
  • Social — social task automation.
  • Scrap — scrap task automation.

Frequently asked questions

What is Agentic-Articles?
AgentArticle is an AI-driven application that streamlines content creation by combining web scraping, NLP, and AI tools to produce high-quality articles for LinkedIn and other social media platforms. It integrates APIs and Selenium automation, making it perfect for professionals, content creators, a
How do I install Agentic-Articles?
Use git: `git clone https://github.com/DissanayakeLYB/Agentic-Articles`. Full setup details on the source page linked above.
Is Agentic-Articles open source?
Agentic-Articles is published on GitHub.
What are alternatives to Agentic-Articles?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for Agentic-Articles is sourced from GitHub, published by DissanayakeLYB.

Last scraped: · First indexed:

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