ai-enablement-stack  by daytonaio

AI tools directory for modern AI development

Created 9 months ago
524 stars

Top 60.3% on SourcePulse

GitHubView on GitHub
Project Summary

This repository serves as a community-driven mapping of the AI development ecosystem, categorizing tools and technologies across five key layers: Agent Consumer, Observability and Governance, Engineering, Intelligence, and Infrastructure. It aims to help developers find tools to build AI applications faster, engineering leaders make informed infrastructure decisions, and organizations understand the AI landscape for technology adoption.

How It Works

The project is structured as a curated list of venture-backed companies and tools, organized into a JSON file (ai-enablement-stack.json) that defines categories and subcategories. Each entry includes a description, relevant links (website, GitHub, social media), and is evaluated based on production readiness, enterprise capabilities, active development, and market presence. Contributions are managed via pull requests, following specific guidelines for adding new tools and logos.

Quick Start & Requirements

This is a curated list, not a runnable application. To contribute, fork the repository, add your tool's logo to ./public/images/, and update the ai-enablement-stack.json file with the tool's details. A pull request is then submitted for review.

Highlighted Details

  • Comprehensive categorization of AI development tools across five distinct layers.
  • Focus on venture-backed, production-ready, and actively developed solutions.
  • Community-driven contribution model for continuous updates and expansion.
  • Provides links to websites, GitHub repositories, and social media for each listed tool.

Maintenance & Community

The project is community-driven, with contributions managed through GitHub pull requests. Specific community channels or active maintainer information are not detailed in the README.

Licensing & Compatibility

This project is licensed under the Apache 2.0 License. This license is permissive and generally compatible with commercial use and closed-source linking.

Limitations & Caveats

The README does not provide installation or execution instructions, as it is a curated list of external tools and not a software project to be run directly. The quality and accuracy of the listed tools depend on community contributions and vetting.

Health Check
Last Commit

1 month ago

Responsiveness

1 day

Pull Requests (30d)
0
Issues (30d)
0
Star History
10 stars in the last 30 days

Explore Similar Projects

Starred by Shizhe Diao Shizhe Diao(Author of LMFlow; Research Scientist at NVIDIA) and Lucy Gao Lucy Gao(Cofounder of TabbyML).

AI-Software-Startups by WarrenWen666

0%
402
AI startup landscape survey
Created 4 years ago
Updated 2 years ago
Feedback? Help us improve.