fragments
Open-source Next.js template for building apps that are fully generated by AI. By E2B.
Star Growth
Overview
Fragments is an open-source Next.js template that enables developers to build applications entirely generated by AI, similar to Claude Artifacts, Vercel v0, or GPT Engineer. Built with Next.js 14, shadcn/ui, TailwindCSS, and Vercel AI SDK, it uses the E2B SDK to securely execute AI-generated code in isolated environments. The platform supports multiple development stacks including Python interpreter, Next.js, Vue.js, Streamlit, and Gradio, while integrating with various LLM providers like OpenAI, Anthropic, Google AI, Mistral, and others. Key features include streaming UI updates, automatic npm/pip package installation, and integration with Morph for efficient code editing. This makes it valuable for developers who want to create AI-powered applications that can generate, execute, and iterate on code safely without compromising system security.
Deep Analysis
vs Claude Artifacts/v0: fully open-source with secure E2B sandboxed execution, supporting 6+ LLM providers and 5 framework stacks
⚡ Capabilities
- • Open-source Claude Artifacts / v0 alternative
- • Secure code execution via E2B sandbox
- • Streaming AI code generation in UI
- • Multiple stack support (Python, Next.js, Vue, Streamlit, Gradio)
- • Multiple LLM provider support
- • Custom persona/template system
- • Token-efficient code editing via Morph model
🔗 Integrations
✓ Best For
- ✓ Building custom AI code generation playgrounds
- ✓ Teams wanting self-hosted Claude Artifacts alternative
✗ Not Ideal For
- ✗ Users wanting free unlimited code execution (E2B has usage costs)
- ✗ Non-developers needing plug-and-play solution
Languages
Deployment
⚠ Known Limitations
- ⚠ Requires E2B API key (paid sandbox service)
- ⚠ Code execution isolated — no persistent storage by default
- ⚠ UI is functional but simpler than commercial alternatives
- ⚠ Template customization requires E2B CLI knowledge
Pros
- + Comprehensive multi-stack support with 5 different development environments (Python, Next.js, Vue.js, Streamlit, Gradio)
- + Secure code execution through E2B SDK isolation, allowing safe running of AI-generated code
- + Extensive LLM provider compatibility supporting 8+ providers including OpenAI, Anthropic, and local models via Ollama
Cons
- - Requires multiple API keys (E2B + LLM provider) which adds setup complexity and ongoing costs
- - Dependency on E2B's cloud infrastructure for code execution may introduce latency or availability concerns
- - Limited to predefined stack templates, requiring custom development to add new frameworks or languages
Use Cases
- • Building AI coding assistants that can generate, execute, and iterate on full applications in real-time
- • Creating educational platforms where students can experiment with AI-generated code safely
- • Developing rapid prototyping tools for businesses to quickly generate and test application concepts