Business · GitHub ·110 ★

LLM-AutoHotkey-Assistant

An AutoHotkey v2 application that utilizes OpenRouter.ai to seamlessly integrate Large Language Models into your daily workflow. Process texts with customizable prompts by pressing a hotkey and interact with multiple AI models simultaneously.

Details

Author
kdalanon
Category
Business
Platform
GitHub
Framework
openai
Language
autohotkey
Stars
110
First indexed
2026-05-15
Last active
2025-04-19
Directory sync
2026-05-15

Overview

An AutoHotkey v2 application that utilizes OpenRouter.ai to seamlessly integrate Large Language Models into your daily workflow. Process texts with customizable prompts by pressing a hotkey and interact with multiple AI models simultaneously.

Quick start

git

git clone https://github.com/kdalanon/LLM-AutoHotkey-Assistant

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

What LLM-AutoHotkey-Assistant can do

  • Hr — Handles people operations such as hiring and policy Q&A.
  • Prompt — prompt task automation.
  • Assistant — Acts as a personal helper for everyday tasks.
  • Router — router task automation.
  • Llm — llm task automation.

Frequently asked questions

What is LLM-AutoHotkey-Assistant?
An AutoHotkey v2 application that utilizes OpenRouter.ai to seamlessly integrate Large Language Models into your daily workflow. Process texts with customizable prompts by pressing a hotkey and interact with multiple AI models simultaneously.
How do I install LLM-AutoHotkey-Assistant?
Use git: `git clone https://github.com/kdalanon/LLM-AutoHotkey-Assistant`. Full setup details on the source page linked above.
Is LLM-AutoHotkey-Assistant open source?
LLM-AutoHotkey-Assistant is published on GitHub.
What are alternatives to LLM-AutoHotkey-Assistant?
Comparable agents include awesome-llm-apps, vllm, aider. 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 LLM-AutoHotkey-Assistant is sourced from GitHub, published by kdalanon.

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