taishi-i/awesome-ChatGPT-repositories

A curated list of open source GitHub repositories related to ChatGPT, the OpenAI API, and Codex. Searchable via Claude Code and Codex skills.

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Summary Information

Updated 2 hours ago
Type:Curated List / Learning ResourceCategory(s):General Awesome Lists & DirectoriesLearning & Resources
Added to GitGenius on September 21st, 2026
Created on April 2nd, 2023
Open Issues & Pull Requests: 44 (+0)
GitHub issues: Enabled
Number of forks: 472
Total Stargazers: 3,261 (+0)
Total Subscribers: 54 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.7 hours
Mean response time: 7.5 days
90th percentile: 2.0 days
Tracked items: 30

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Issue Activity (beta)

Open issues: 9
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 167 days
Stale 30+ days: 8
Stale 90+ days: 4

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

awesome-chatgpt-repositories is a curated list of open source GitHub repositories related to ChatGPT, the OpenAI API, and related AI tools.

The project addresses the challenge of discovering relevant open source projects in the rapidly expanding ChatGPT and large language model ecosystem. It maintains a searchable collection of repositories organized by category and topic, making it easier for developers to find tools, frameworks, and implementations that match their needs. The curation approach focuses on quality and relevance rather than exhaustive coverage.

Developers should adopt this list if they are exploring the ChatGPT and LLM ecosystem and need a starting point for discovering existing solutions. It suits projects involving agents, RAG frameworks, chatbot interfaces, CLI tools, and NLP applications. The tool is particularly valuable because it integrates directly into Claude Code and Codex as a searchable skill, allowing developers to find repositories without leaving their coding environment. The integration supports multilingual queries and ranks results by relevance, star count, and project quality. Results can be filtered by category or programming language, making it practical for narrowing down options in specific domains.

The project maintains active curation with regular additions of new repositories across multiple categories including browser extensions, CLIs, and NLP tools. Documentation is available in multiple languages including English, Japanese, and Chinese variants, reflecting an international development focus. The project welcomes community contributions through established guidelines, indicating an open collaborative approach to maintaining the list.