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e2b-dev/fragments

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Fragments

Fragments is an open-source AI code generation sandbox that produces code automatically based on user prompts and executes it inside isolated cloud environments. The project provides a secure foundation for running AI-generated code by sandboxing execution away from the host system, preventing potential harm while allowing users to see results immediately.

The sandbox supports customization through configurable execution environments defined via Dockerfiles, enabling code to run in specific runtimes or frameworks. Users can integrate different language models and model providers by registering their identifiers, API endpoints, and authentication keys, giving flexibility in choosing which AI powers code generation. The system also streams AI responses incrementally in the user interface, providing real-time feedback as code is generated.

Additional capabilities include installing packages from registries like npm or pip during execution, and hosting the sandbox as a deployable web interface. The project's documentation covers setup, configuration of custom environments and models, and deployment instructions for getting a sandbox instance running.

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Features

  • AI Execution Sandboxes - Provides an AI code generation sandbox that runs generated code in isolated cloud environments.
  • AI Code Generators - Generates code automatically from natural language prompts using a language model.
  • Code Execution Sandboxes - Executes AI-generated code in isolated cloud environments, preventing harm to the host system.
  • Streaming Chat Responses - Streams AI-generated text incrementally to the user interface as it is produced.
  • Custom AI Models - Supports registering new AI models by identifier and display name for use in the sandbox.
  • Model Provider Configurations - Configures external AI model providers by setting API endpoints and authentication keys.
  • Custom Execution Environment Definitions - Enables defining custom sandbox templates with Dockerfiles for specific runtimes.
6,326 stars·866 forks·TypeScript·Apache-2.0·29 views

Star history

Star history chart for e2b-dev/fragmentsStar history chart for e2b-dev/fragments

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does e2b-dev/fragments do?

Fragments is an open-source AI code generation sandbox that produces code automatically based on user prompts and executes it inside isolated cloud environments. The project provides a secure foundation for running AI-generated code by sandboxing execution away from the host system, preventing potential harm while allowing users to see results immediately.

What are the main features of e2b-dev/fragments?

The main features of e2b-dev/fragments are: AI Execution Sandboxes, AI Code Generators, Code Execution Sandboxes, Streaming Chat Responses, Custom AI Models, Model Provider Configurations, Custom Execution Environment Definitions.

Which projects share features with e2b-dev/fragments?

Projects with overlapping indexed features include: opensandbox-group/opensandbox — OpenSandbox is a secure execution environment and runtime designed for running untrusted code and scripts generated by… cloudflare/moltworker — Moltworker is an AI agent sandbox and model orchestrator designed for the secure execution of untrusted code and shell… e2b-dev/e2b — E2B is a cloud-based infrastructure platform designed to provide secure, isolated execution environments for code and… opensquilla/opensquilla — OpenSquilla is an LLM agent orchestration framework designed to coordinate multi-step AI workflows and tool execution… alibaba/opensandbox — OpenSandbox is a secure sandbox runtime and containerized code execution engine designed to run AI-generated code and… tencentcloud/cubesandbox — CubeSandbox is a Kubernetes-based platform for executing AI agents in secure, lightweight environments. It provides a…

Projects sharing features with Fragments

These projects share indexed features with Fragments. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • opensandbox-group/opensandboxopensandbox-group avatar

    opensandbox-group/OpenSandbox

    11,627View on GitHub↗

    OpenSandbox is a secure execution environment and runtime designed for running untrusted code and scripts generated by AI agents. It utilizes a containerized code execution engine and microVM-based isolation to protect host systems from malicious actions while providing isolated virtual environments. The project features a sandbox server based on the Model Context Protocol to automate the creation and control of virtual workspaces. It supports the deployment of secure remote desktop hosts, including headless web browsers and editor instances, for automated interaction. The system includes an

    Pythonaiai-agentai-infra
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  • cloudflare/moltworkercloudflare avatar

    cloudflare/moltworker

    9,909View on GitHub↗

    Moltworker is an AI agent sandbox and model orchestrator designed for the secure execution of untrusted code and shell commands generated by large language models. It functions as a gateway proxy that routes requests to multiple AI providers through a unified interface, integrating a container runtime backed by S3-compatible object storage to persist state across ephemeral lifecycles. The system distinguishes itself by combining an AI model orchestrator with a headless browser controller for automated web scraping and screenshot capture. It manages the full lifecycle of AI agents, including m

    TypeScriptai-agentscloudflare-workers
    View on GitHub↗9,909
  • e2b-dev/e2be2b-dev avatar

    e2b-dev/E2B

    10,950View on GitHub↗

    E2B is a cloud-based infrastructure platform designed to provide secure, isolated execution environments for code and shell commands. It functions as an ephemeral orchestrator that provisions lightweight virtual machines, allowing developers and autonomous agents to run untrusted processes within a sandbox that is completely separated from the host system. The platform distinguishes itself through its focus on programmable, serverless workspaces that support the full lifecycle of cloud-based development. By utilizing hardware-level isolation and snapshot-based resumption, it enables the near-

    MDXagentaiai-agent
    View on GitHub↗10,950
  • alibaba/opensandboxalibaba avatar

    alibaba/OpenSandbox

    11,682View on GitHub↗

    OpenSandbox is a secure sandbox runtime and containerized code execution engine designed to run AI-generated code and scripts in isolated environments. It serves as a workload orchestrator that prevents host system contamination by utilizing kernel-level isolation to execute arbitrary commands and scripts. The project distinguishes itself by providing a model context server that bridges large language models to the sandbox for performing file operations and system commands. It also includes a remote GUI sandbox that supports browser automation and desktop interfaces via remote access protocol

    Python
    View on GitHub↗11,682
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