Shelly vs 1Code
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 1Code leads with 598 upvotes
Run OpenAI Codex CLI natively on Android
Shelly is an innovative open-source tool that enables users to run the OpenAI Codex CLI natively on Android devices without the need for a PC, Termux, or proot environments. Its seamless integration pairs a real native terminal with an Agent Chat interface that reads Codex output in real-time, allowing users to execute fixes with a single tap. Additionally, Shelly features a home-screen Scouter widget that displays quota, cost, and rate limits, and provides quick access to prompt firing directly from the home screen. Supporting local Large Language Models like Qwen3.5 and llama.cpp, it offers flexibility for offline and on-device AI processing. Built entirely through AI agents, Shelly emphasizes automation and ease of use, making AI-powered coding and prompt management accessible on Android devices. Its open-source GPLv3 license fosters transparency and community-driven improvements, making it a compelling choice for developers and AI enthusiasts seeking a portable, powerful, and customizable solution.
Pros
- Runs OpenAI Codex CLI natively on Android without external dependencies
- Supports local LLMs like Qwen3.5 and llama.cpp for offline use
- Intuitive Agent Chat interface with live Codex output reading and fix execution
- Home screen widget for quick prompt access, quota, and cost monitoring
- Open source GPLv3 license encourages community collaboration and customization
Cons
- Limited to users comfortable with command-line and AI agent configurations
- Potential learning curve for those unfamiliar with terminal or LLMs
- Features and stability may vary as an open-source project still evolving
Best for
- • Running and testing OpenAI Codex CLI commands directly on Android devices
- • Automating code fixes and prompt execution via the Agent Chat interface
- • Monitoring API quotas, costs, and rate limits from the home screen widget
- • Using local LLMs for offline or privacy-sensitive AI coding tasks
Pricing: Open source and free to use under GPLv3 license; no paid plans are specified, though community contributions may enhance features.
Open source Cursor-like UI for Claude Code
1Code is an innovative open source UI tool designed for developers working with Claude Code, an AI coding assistant. It offers a Cursor-like interface that enables users to run multiple Claude Code agents simultaneously, significantly accelerating feature development and testing. Available on Mac and Web, 1Code provides the flexibility to run locally or remotely, with live previews for mobile and desktop, making it easy to monitor agents from anywhere. Its parallel execution capability is particularly beneficial for teams seeking to streamline AI-driven coding workflows, enabling faster iteration and more efficient collaboration. The tool's user-friendly interface and cross-platform support make it an appealing choice for AI developers, coding enthusiasts, and teams integrating Claude Code into their development stacks.
Pros
- Supports parallel execution of multiple Claude Code agents, boosting productivity
- Cross-platform compatibility: works on Mac and Web with live preview features
- Open source, allowing for customization and community-driven improvements
- User-friendly, Cursor-like UI simplifies managing multiple agents
- Enables remote monitoring and testing, including mobile previews
Cons
- Primarily focused on Claude Code, limiting versatility with other AI models
- May require some technical expertise to set up and customize
- Limited detailed documentation available for advanced features
Best for
- • Parallel testing and debugging of AI coding agents
- • Accelerating feature development with multiple Claude Code instances
- • Remote monitoring of AI agents during development on multiple devices
- • Integrating AI code assistants into local and cloud-based workflows
Pricing: Likely free and open source, offering users the ability to customize and deploy without licensing costs. Additional features or enterprise support may be available through community or third-party services.