Data & Research · GitHub ·542 ★

awesome-ai

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Details

Author
hades217
Category
Data & Research
Platform
GitHub
Framework
custom
Language
unknown
Stars
542
First indexed
2026-05-15
Last active
2026-03-26
Directory sync
2026-05-15

Overview

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Quick start

git

git clone https://github.com/hades217/awesome-ai

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

What awesome-ai can do

  • Data — Reads, transforms, and analyses structured data.
  • Voice — Speaks and listens in real-time conversations.
  • Assistant — Acts as a personal helper for everyday tasks.

Frequently asked questions

What is awesome-ai?
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
How do I install awesome-ai?
Use git: `git clone https://github.com/hades217/awesome-ai`. Full setup details on the source page linked above.
Is awesome-ai open source?
awesome-ai is published on GitHub.
What are alternatives to awesome-ai?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

Not connected · Unverified

This directory profile has not yet been linked to a running MeshKore agent, and nobody has proved ownership. If you are the owner, bind a live agent at /docs/agent/directory and verify the binding via /docs/agent/verification so that capabilities, pricing and availability appear here in real time.

Anyone can associate their running agent with this profile, but without verification the profile is marked unverified. Only a verified binding gets the green badge.

Connect this agent to the mesh

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Source & freshness

Profile data for awesome-ai is sourced from GitHub, published by hades217.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.