Shelly vs Superset
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Superset leads with 552 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.
Run an army of Claude Code, Codex, etc. on your machine
Superset is an innovative IDE designed to supercharge developer productivity by enabling the seamless integration and management of multiple AI coding agents like Claude, Codex, and others. It allows developers to run several agents simultaneously without the typical overhead of context switching, each within its own sandbox environment to prevent interference. With its centralized dashboard, users can monitor all ongoing tasks, receive notifications for updates, and review changes efficiently using an integrated diff viewer. This setup significantly accelerates workflows, reduces frustration, and helps teams ship features faster. Ideal for AI developers, machine learning engineers, and advanced programmers, Superset transforms the coding process into a more organized, efficient, and collaborative experience, making complex multi-agent projects manageable and scalable.
Pros
- Enables running multiple AI coding agents simultaneously without interference
- Sandboxed environment ensures task isolation and stability
- Centralized monitoring and notification system improves workflow management
- Built-in diff viewer accelerates review and debugging
- Enhances productivity by reducing context switching overhead
Cons
- May require a steep learning curve for new users unfamiliar with multi-agent setups
- Limited details on pricing and licensing, potentially costly at scale
- Dependence on AI agents might introduce variability in output quality
Best for
- • Automated code generation and review
- • Multi-agent debugging and testing workflows
- • Rapid prototyping with various AI assistants
- • Managing complex AI-driven projects with multiple tasks
Pricing: Likely follows a freemium model with basic features available for free and premium plans offering expanded agent support and advanced monitoring, starting around $20-$50/month, though exact details are not publicly specified.