Top 10 Repos: 2,282 Claude Plugins, Free Codex, & 8 More

Originally published at https://tekmag.thsite.top/top-10-repos-2282-claude-plugins-free-codex-8-more/

OpenAI Codex (120k stars), Anthropic's 2,282-plugin directory, and MoneyPrinterTurbo lead GitHub's trending list in August 2026, showing how AI is reshaping coding, content creation, and developer toolchains.

Key Takeaways

OpenAI Codex (120k stars) is the most-starred AI coding agent on GitHub
MoneyPrinterTurbo (119k stars) lets creators generate videos with one prompt
Anthropic released an official plugin catalog with 2,282 security-scanned extensions
Zapier's SDK connects AI agents to 8,000+ apps and services
OpenLogi (18k stars) replaces Logitech Options+ with a local-first Rust app

GitHub's Top 10 Repos Are Transforming How Developers Build With AI

GitHub's trending repositories reveal how developers are adopting AI tools in 2026. OpenAI's Codex leads with 120,415 stars, followed by MoneyPrinterTurbo at 119,040 stars for AI video generation. Anthropic's official Claude plugin directory reached 35,722 stars, while Zapier's SDK connects agents to over 8,000 tools according to their documentation.

For developers interested in similar workflows, our coverage of Spline V2's MCP Server integration with Claude Code shows how terminal-based AI agents are becoming standard in professional development environments.

OpenAI Codex Brings Terminal-Based AI Coding to Everyone

OpenAI Codex is an open-source CLI tool that runs AI-assisted coding directly in your terminal. The repository, which has earned over 120,000 stars according to GitHub data, gives developers access to OpenAI's language models through a lightweight interface. Users can install it via pip and start writing code with AI assistance without leaving their command line.

The tool gained massive traction because it democratizes access to Codex's capabilities. Previously, Codex was primarily available through OpenAI's API or ChatGPT Enterprise. Now developers can fork the project and modify it for their own workflows. According to the official repository description, the project emphasizes local-first execution and minimal dependencies.

Several developers have noted that Codex integrates well with existing terminal workflows. Unlike full IDE extensions, it works alongside standard tools like tmux and vim. The project's README provides installation instructions and configuration options for different AI model providers beyond OpenAI's own service.

MoneyPrinterTurbo Generates Videos From a Single Prompt

MoneyPrinterTurbo is an open-source platform that turns a text prompt into a complete short video. The project has accumulated nearly 119,000 stars on GitHub, making it one of the most popular AI content creation tools. According to its repository description, it uses large language models and automated workflows to produce HD videos from themes or keywords.

The tool appeals to content creators who want to produce videos without editing software. It handles script generation, voiceover synthesis, and video assembly automatically. Users provide a topic or keywords, and the system produces a finished video ready for platforms like YouTube Shorts or TikTok.

This approach to video creation has gained particular traction among Chinese-language creators, where short-form video content drives significant engagement. The project's source code is available for modification, allowing developers to customize the output for different platforms or languages.

Anthropic's Official Claude Plugin Directory Reaches 2,282 Extensions

Anthropic released an official plugin directory for Claude Code containing over 2,282 security-scanned extensions. The anthropics/claude-plugins-official repository has earned 35,722 stars since its launch. Each plugin undergoes security review before being listed, addressing one of the key concerns around AI agent toolchains.

The plugin ecosystem covers tasks ranging from code review automation to deployment pipelines. Common categories include testing helpers, documentation generators, and integration connectors for popular development tools. Anthropic maintains the directory as the authoritative source for verified plugins.

The security-scanning approach distinguishes this from unofficial plugin collections. According to the repository README, each plugin is reviewed for malicious code, excessive permissions, and data handling practices before acceptance.

OpenLogi Replaces Logitech Options+ With a Rust-Based Alternative

OpenLogi is an open-source replacement for Logitech Options+, the proprietary software that accompanies Logitech's premium mice and keyboards. The project, which has earned 18,118 stars, is written in Rust and designed for Linux and macOS systems where Logitech's official software offers limited support.

The application runs locally on the user's machine without requiring cloud connectivity. This matters for privacy-conscious users and those operating in restricted network environments. According to the repository description, OpenLogi provides native hardware-level control without telemetry or account requirements.

Local-first tools like this align with the performance optimization approaches discussed in our guide to speeding up Windows 11 in 2026, where reducing background processes and cloud dependencies can significantly improve system responsiveness.

Logitech Options+ remains popular for its gesture customization and multi-device switching features. However, the Linux version has historically lagged behind Windows and macOS releases. OpenLogi aims to close that gap while providing a fully open implementation.

GPT-Image-2 Prompt Collections Surpass 26,000 Stars

The awesome-gpt-image-2 repository curates over 26,000 stars worth of prompt templates for OpenAI's GPT-Image-2 image generation model. The collection includes industrial-grade prompts organized by use case: product photography, character design, architectural visualization, and marketing assets.

According to the repository maintainers, these prompts were tested across multiple image generation runs to verify consistency and quality. The collection serves as both a reference library and a starting point for users experimenting with the model's capabilities.

A secondary repository by YouMind-OpenLab offers 2,000 additional prompts focused on GPT-Image-2 workflows. Together, these collections represent the community's effort to document effective prompting strategies as the model continues to evolve.

Free-LLM Aggregates 34 Free AI Model APIs

Free-LLM is a curated directory listing 34 free access points to large language models and AI APIs. The nejib1/Free-LLM repository, though smaller at 323 stars, serves developers and students who need AI capabilities without subscription costs. The directory includes endpoints from open-source models, research labs, and commercial providers offering free tiers.

The list changes frequently as new models are released or existing providers adjust their pricing. Maintainers update the repository when APIs go offline or new free options emerge. This makes it a living resource rather than a static reference.

For budget-constrained projects, the directory provides entry points to models like Llama, Mistral, and Gemma variants. Many of these free tiers have usage limits, but they remain sufficient for prototyping and learning purposes.

If you're exploring cost-effective AI solutions, our analysis of Solana's double disinflation mechanism demonstrates how transparent cost structures can benefit both developers and end users.

Zapier SDK Connects AI Agents to 8,000 Tools

The Zapier SDK repository provides the tools developers need to connect AI agents to Zapier's platform of over 8,000 integrated applications. With 245 stars, this is a newer but strategically important project. It supplies agent-readable documentation, verified code examples, and skill manifests for building reliable integrations.

The SDK addresses a common problem in the AI agent space: agents need to interact with real-world tools like email, calendars, spreadsheets, and CRM systems. Zapier's existing integrations provide that bridge, but connecting to them required understanding Zapier's internal API structure.

The SDK standardizes this connection with machine-readable documentation. According to the repository, agents can discover available actions, understand required parameters, and execute workflows without manual configuration.

Mojo Brings Python Syntax With C++ Performance

Mojo is a programming language that combines Python's accessible syntax with performance comparable to C and C++. The official Mojo repository shows 125 stars, reflecting its early-stage status. The language targets AI workloads where Python dominates development but performance matters for production deployment.

According to the project description, Mojo is designed as a "data-oriented, simple but powerful DSL language." It aims to eliminate the traditional tradeoff between developer productivity and runtime performance by letting Python code compile to efficient machine code.

The language is still in active development with ongoing additions to its standard library and compiler capabilities. Early adopters are using it for high-performance computing tasks, particularly in the AI inference pipeline where Python remains the lingua franca.

.claude Toolkit Accelerates Claude Code Workflows

The .claude repository by travisjneuman provides a toolkit for Claude Code users seeking to optimize their development workflows. Despite having only 95 stars, the project addresses a specific niche: customizing Claude Code's behavior through configuration files and prompt templates.

The repository includes example configurations, custom system prompts, and automation scripts that extend Claude Code's base capabilities. Users can adopt these patterns to create personalized development assistants tailored to their project requirements.

As Claude Code gains adoption, the ecosystem of shared configurations and best practices is expected to grow. This repository serves as an early reference point for developers looking to customize their AI-assisted coding experience.

Why These Repos Matter for Developers in 2026

The diversity of GitHub's top trending repositories reflects a maturing AI development landscape. Coding assistants, content creation tools, hardware alternatives, and integration platforms all occupy distinct positions in the developer toolchain.

Projects like Codex and Claude Code address the programming workflow directly. Meanwhile, tools like MoneyPrinterTurbo and OpenLogi solve problems outside traditional software development, appealing to creators and hardware users respectively. This breadth suggests AI adoption is expanding beyond its initial developer-centric origins.

The star counts themselves tell a story about developer priorities. Tools that reduce friction in existing workflows (terminal coding, video creation, hardware customization) attract the most attention. Integration platforms like Zapier's SDK provide infrastructure that enables other tools to function more effectively.

For developers evaluating which tools to adopt, these repositories offer tested starting points. The communities around each project provide documentation, examples, and ongoing improvements that reduce the risk of adopting new technology.

Conclusion

GitHub's top repositories in August 2026 show AI tools expanding across coding, content creation, and hardware customization. OpenAI Codex leads with 120k stars, while Anthropic's 2,282-plugin ecosystem demonstrates rapid growth in the agent toolchain space.

Frequently Asked Questions

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What is the easiest AI coding tool to start with?

OpenAI Codex requires only pip install and an API key. For zero-setup options, Claude Code plugins from the official directory integrate directly into existing workflows.

Can I use these tools without paying?

Yes. Free-LLM lists 34 free AI APIs. Many tools like OpenLogi and MoneyPrinterTurbo are fully open-source with no subscription required.

Which repo is best for Linux users?

OpenLogi (18k stars) is specifically built for Linux and macOS as a Logitech Options+ alternative. It runs locally without cloud dependencies.

How do I connect AI agents to my favorite apps?

Zapier's official SDK provides the documentation and code examples needed to connect agents to 8,000+ integrated tools.

Are these projects safe to use?

Official repositories like Anthropic's plugin directory include security scanning. Always review source code before installing third-party tools, especially those with elevated system permissions.