e2b-dev/fragments

Open-source Next.js template for building apps that are fully generated by AI. By E2B.

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Summary Information

Updated 31 minutes ago
Added to GitGenius on September 10th, 2026
Created on July 10th, 2024
Open Issues & Pull Requests: 21 (+0)
GitHub issues: Enabled
Number of forks: 862
Total Stargazers: 6,374 (+0)
Total Subscribers: 44 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.4 hours
Mean response time: 27.1 days
90th percentile: 136.7 days
Tracked items: 48

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Issue Activity (beta)

Open issues: 10
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 538 days
Stale 30+ days: 9
Stale 90+ days: 8

Recent activity

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

Top labels

  • Feature (6)
  • Fragments (6)

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Detailed Description

Fragments is a Next.js template for building applications where AI generates the entire user interface and functionality.

The template addresses the challenge of creating AI-driven applications by providing a pre-configured foundation that integrates Claude as the AI backbone with a code interpreter sandbox environment. The approach works by combining a Next.js frontend with E2B's sandbox infrastructure, allowing the AI to not only generate code but also execute it safely. This enables a workflow where users can describe what they want, Claude generates the implementation, and the sandbox runs the generated code in real time.

Fragments suits developers building AI-powered tools who want to skip infrastructure setup and focus on the application logic. It works best for projects where code generation and execution are core features rather than auxiliary capabilities. The template is particularly valuable if you are already committed to using Claude and want a structured starting point rather than building from scratch.

The project shows active development with regular commits addressing both feature additions and bug fixes. The codebase receives consistent updates that refine the integration between the Next.js frontend and the sandbox execution layer. Pull requests are reviewed and merged regularly, indicating ongoing maintenance and responsiveness to improvements.