awesome-ai-apps
A curated collection of AI Agents and LLM Apps with various tech stacks
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
54views this month
Decision brief
awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Good fit when
- For exploring real-world implementations of AI agents across different technologies
- If you need a broad overview of existing applications using various frameworks and APIs
Avoid when
- When seeking detailed implementation steps specific to one technology stack
- In scenarios demanding a deep dive into proprietary or less publicly-known application codes
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (221d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/rohitg00/awesome-ai-appsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository compiles examples and implementations of AI applications using technologies such as OpenAI, Gemini, local models, and diverse AI frameworks, emphasizing real-world usage scenarios.
Capability facts
- Languages
- html
Source: github.language · Sep 20, 2026
Categories
Tags
README
📄 License This project is licensed under the MIT License see the LICENSE file for details.
For agents
This page has a .md twin and JSON over the API.