Business · GitHub ·285 ★

AetherLink

AetherLink is a cross-platform AI assistant application that supports multiple mainstream AI models (OpenAI, Google Gemini, Anthropic Claude, Grok, etc.). Built with React, TypeScript, and Capacitor, it delivers a seamless conversational experience. Key features include customizable model configurat

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Details

Author
1600822305
Category
Business
Platform
GitHub
Framework
openai
Language
typescript
Stars
285
First indexed
2026-05-15
Last active
2026-03-12
Directory sync
2026-05-15
@1600822305

Overview

AetherLink is a cross-platform AI assistant application that supports multiple mainstream AI models (OpenAI, Google Gemini, Anthropic Claude, Grok, etc.). Built with React, TypeScript, and Capacitor, it delivers a seamless conversational experience. Key features include customizable model configurat

Quick start

git

git clone https://github.com/1600822305/AetherLink

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

What AetherLink can do

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

Frequently asked questions

What is AetherLink?
AetherLink is a cross-platform AI assistant application that supports multiple mainstream AI models (OpenAI, Google Gemini, Anthropic Claude, Grok, etc.). Built with React, TypeScript, and Capacitor, it delivers a seamless conversational experience. Key features include customizable model configurat
How do I install AetherLink?
Use git: `git clone https://github.com/1600822305/AetherLink`. Full setup details on the source page linked above.
Is AetherLink open source?
AetherLink is published on GitHub.
What are alternatives to AetherLink?
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 AetherLink is sourced from GitHub, published by 1600822305.

Last scraped: · First indexed:

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