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fragments.e2b.dev

Open-source version of Anthropic's Artifacts

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What is Fragments by E2B?

Fragments by E2B is an open-source tool for running AI-generated code in a browser sandbox, positioned as an open-source take on Anthropic's Artifacts. The page itself is minimal — a sign-in prompt and a link to star the project on GitHub — so treat the name as a pointer to a self-hostable, code-execution-focused app rather than a hosted consumer product with a feature list.

What it does in practice

The core idea is that a model writes a small program, and the tool executes it in an isolated environment and shows you the result, instead of you copying code into a local terminal. Typical uses:

  • Prototyping with an assistant: ask for a data transformation, a chart, or a small simulation, then run it immediately and iterate on the output.
  • Teaching and demos: show a snippet working without asking an audience to install anything.
  • Internal tooling: teams that want artifact-style behavior on their own infrastructure, since the source is available.

Who it suits, and the trade-offs

Audience Why it fits What to weigh
Developers evaluating sandboxed code execution Open source, so you can read and adapt the execution layer You run and maintain it yourself
Teams with data-residency constraints Self-hosting keeps code and outputs inside your environment Setup and isolation hardening are your responsibility
Casual users wanting a ready-made chat artifact tool Similar workflow to hosted artifact features The page shows a sign-in gate, not a polished consumer product

The main decision criterion is control versus convenience. If you want to inspect, fork, or host the execution environment, an open-source project is the right shape. If you just want artifact-style output with zero setup, a hosted product will be less work.

Next step

Open the project's GitHub repository from the page and check three things before committing: how the sandbox isolates untrusted code, what languages and runtimes are supported, and whether self-hosting requires cloud infrastructure. For comparison, Anthropic's own artifact feature is documented at Anthropic, and E2B's broader sandbox platform at E2B.

How does Fragments by E2B compare to Anthropic's Artifacts?

Fragments by E2B is best understood as an open-source take on the same core idea as Anthropic's Artifacts: a place where an AI model's output becomes a live, interactive artifact rather than a wall of text. The page evidence shows a minimal interface with a sign-in prompt and a GitHub star link, and describes it as an open-source project by E2B. That framing is the key difference: Artifacts is a feature inside a hosted commercial assistant, while Fragments is a self-hostable project you can inspect and extend.

Where they diverge in practice

  • Control and hosting. Fragments is open source, so you can read the code, run it yourself, and adapt it. Artifacts lives inside Anthropic's product, where the runtime, model access and data handling are managed for you.
  • Model coupling. Artifacts is tied to Anthropic's models and account. Fragments, as an E2B project, is built around sandboxed code execution, which in principle lets you wire it to different models or your own backend.
  • Audience. Artifacts suits individuals and teams who want a polished, zero-setup way to generate and preview code, charts or small apps. Fragments suits developers who want to embed artifact-style previews in their own tools or study how the pattern works.
  • Trade-off. With Fragments you take on deployment, security and maintenance; in return you get transparency and flexibility. With Artifacts you trade that control for convenience and a managed environment.

A concrete scenario

A developer building an internal "chat with your data" tool wants users to see generated charts and runnable snippets inline. Using Fragments as a reference or base lets them host the preview environment on their own infrastructure and connect it to their own model endpoint. A product manager who just wants to prototype prompts and share links with colleagues is better served by Artifacts, where none of that setup is required.

Next step

Decide based on where the artifact should run. If it must stay inside your infrastructure or talk to non-Anthropic models, start with Fragments by E2B and review its GitHub repository. If you mainly want the fastest path to interactive AI output with no operations work, Artifacts is the simpler choice.

How can I self-host Fragments by E2B on my own infrastructure?

Self-hosting Fragments by E2B means running an open-source code-execution and preview environment on servers you control. The page evidence for Fragments by E2B confirms it is an open-source project, so the self-hosted route is the intended one rather than a workaround. Expect to provide the runtime, storage and network isolation yourself.

The pieces you need to run

  • A host with a container runtime such as Docker, or a Kubernetes cluster if you want multiple users.
  • A sandboxing layer that isolates generated code from the host filesystem and network.
  • Persistent storage for projects or fragments, plus a database if you keep user accounts.
  • A reverse proxy with TLS in front of the app.
  • API keys for whichever model provider generates or edits the code.

A practical first deployment

Clone the repository, read its README and environment-variable examples, and start it locally with the included container or Compose setup. Confirm you can create a fragment and execute it before exposing anything to the internet. Then move to a server, put authentication in front, and restrict the sandbox's outbound network access.

Decisions that matter more than the install steps

Situation Better fit
Personal experimentation Single VM, Docker Compose, no auth layer
Small team Managed host, login, backups, one shared database
Untrusted public users Strong sandbox isolation, per-user quotas, network egress rules

Next step

If you only want to try the workflow, use the hosted version first and self-host once you know your storage and isolation requirements. If you need a reference for the sandboxing approach, look at E2B, the project behind Fragments. For container basics, see Docker Docs.

What are the typical use cases for Fragments by E2B in an AI application?

Fragments by E2B is best understood as an open-source take on the "artifact" pattern: a way to render AI-generated code and output as a live, sandboxed preview inside an application. Its typical use cases cluster around that single capability rather than around general-purpose chat.

Where it fits

  • Coding assistants that show, not just tell. When a model produces HTML, React, or a small script, Fragments gives users an executable preview instead of a code block they must copy elsewhere. This is the clearest fit.
  • Data and visualization output. Charting libraries, plotting code, or small analysis scripts can be run and displayed, so the user sees the result rather than trusting the model's description of it.
  • Educational and demo environments. Learners can tweak generated code and immediately see what changes, which suits tutorials, playgrounds, and internal tooling demos.
  • Prototyping and internal tools. Teams building agentic workflows often need a disposable execution surface for generated code before deciding whether to promote it into a real service.

How it compares to alternatives

Approach Strength Trade-off
Fragments-style sandboxed preview Runs generated code safely; interactive Needs sandbox infrastructure and lifecycle management
Plain markdown code blocks Zero infrastructure User must copy, run, and debug externally
Full hosted notebook Rich, persistent sessions Heavier, more state to manage, less embeddable

A practical decision criterion

Ask whether your users need to see generated code run. If yes, a sandboxed preview layer earns its complexity. If the output is prose, structured data, or images, it does not.

For teams already using E2B's sandboxing, Fragments is the natural front-end companion; E2B documents the underlying execution model. If you want to compare the artifact pattern in a hosted product, Anthropic is the reference point this project openly emulates.

How do I integrate Fragments by E2B with an existing LLM or chatbot?

You integrate Fragments by E2B by treating it as the execution and rendering layer for code that your LLM or chatbot produces. Fragments is an open-source project that runs AI-generated code in a sandbox and displays the result, so your integration work is mostly about passing generated code in and presenting the output.

What the integration looks like

  1. Your chatbot or LLM returns a code block (for example, Python or JavaScript) instead of only prose.
  2. Your application detects that block and sends the code to a Fragments-style execution environment rather than executing it on your own server.
  3. The sandbox runs the code and returns output such as text, files, or rendered UI.
  4. Your chat interface displays that output next to the message, so the user sees the result rather than reading raw code.

The important architectural point is isolation. You do not want LLM-generated code running in your application process, because generated code can loop forever, exhaust memory, or attempt network and filesystem access. A sandboxed runtime keeps that behavior contained.

Practical decisions

Decision Option A Option B
Where code runs Remote sandbox service Self-hosted sandbox
Who sees output End user in the chat Developer only, as a debug panel
Trigger Every code block Only when the user clicks "Run"
Language support Whatever your sandbox image includes Limited to languages you install

Auto-running every code block feels magical but costs latency and compute on every message. A run button is slower to demo but cheaper and easier to reason about in production.

A concrete scenario

Suppose you run a data-analysis chatbot. A user asks for a summary of a CSV they uploaded. Your LLM writes pandas code. Your backend sends that code plus the file reference into the sandbox, captures stdout and any generated chart, and returns them to the chat. The user sees a table and a chart without you maintaining a general-purpose code execution server.

E2B provides the sandbox infrastructure behind this pattern, and E2B is the official place to check its SDKs and documentation. For background on the artifact-style interaction this project mirrors, Anthropic publishes information on Claude and Artifacts.

Where to start

Pick one narrow use case first, such as running Python snippets and returning stdout. Wire the code detection, the sandbox call, and the result rendering end to end before adding file uploads, charts, or multiple languages. That keeps the failure modes small while you learn how your model formats code and how often it produces something that will not run.

What are the limitations or risks of using Fragments by E2B?

Fragments by E2B is an open-source tool aimed at the same use case as Anthropic's Artifacts: generating and previewing code in a sandboxed environment. The limitations below follow from that design and from what the page itself signals, so treat them as things to verify against the current repository and docs rather than fixed facts.

Where it can fall short

  • Sandboxed doesn't mean risk-free. Code execution environments are the core feature, and any environment that runs untrusted code carries the risk of escape, resource exhaustion, or abuse. The page describes an open-source project, so its security posture depends on the maintainers and on how you deploy it.
  • Limited feature parity with the tool it's modeled on. "Open-source version of Anthropic's Artifacts" sets an expectation of similarity, not equivalence. Model support, artifact types, sharing, and persistence details may differ, and they can change between releases without notice.
  • No visible pricing signals. The page shows a sign-in option and a GitHub link but no pricing keywords or payment platforms. That usually means a free, self-hostable project, but it also means no support contract, SLA, or guaranteed uptime.
  • Maintenance and longevity depend on the community. Open-source projects can slow down or stall. If you build a workflow on it, you inherit the risk of breaking changes or abandoned dependencies.
  • Data handling is your responsibility. With a self-hosted or open-source tool, you decide where code and outputs live. That's a benefit for control but a burden for compliance.
  • Sign-in and account friction. The page offers sign-in, so some usage may require an account, and account-based features can be tied to the hosted service rather than the open-source code.

A practical way to decide

Ask what you actually need. If you want a quick way to run and preview generated code without vendor lock-in, an open-source sandbox is a reasonable fit. If you need guaranteed uptime, formal support, or strict compliance guarantees, a managed commercial product is usually the safer choice.

Before adopting it, check the repository's recent commit activity and open issues, and test how it handles the code you'd actually run. For context on the managed alternative, see Anthropic.

Related questions

More questions →
How Does Fragments by E2B Compare to Anthropic Artifacts?

Fragments by E2B is an open-source project that its own site describes as the "open-source version of Anthropic's Artifacts." That single fact drives most of the comparison: if you want to self-host, inspect, or modify the code, Fragments is the relevant option; if you want a managed feature built into a chat product with no setup, Anthropic Artifacts is the relevant option. The two are not distributed the same way, so the decision usually comes down to deployment model and control rather than a feature-by-feature spec sheet.

The core difference: open source vs. a product feature

The Fragments site labels itself an open-source project made by E2B and presents it as the open-source counterpart to Anthropic's Artifacts. Anthropic Artifacts, by contrast, is a feature inside Anthropic's own product rather than a separately distributed codebase.

That distinction has practical consequences:

  • Fragments: the source is available, so you can read it, fork it, and run your own instance. The site exposes a sign-in entry point and a GitHub link, which is consistent with a project you can deploy and contribute to.
  • Anthropic Artifacts: you use it as provided inside Anthropic's product. You do not get the source or the ability to run your own copy.

Comparison at a glance

Dimension Fragments by E2B Anthropic Artifacts
Distribution Open-source project Feature of a closed product
Self-hosting Possible, since the source is available Not applicable
Modification You can fork and change the code Not possible
Setup effort You take on running and maintaining it None beyond using the product
Positioning Described by its site as the open-source version of Artifacts The original feature Fragments is compared to

When Fragments is the better fit

Choose Fragments when control matters more than convenience:

  • You need to self-host so code and generated output stay on infrastructure you manage.
  • You want to read or modify the implementation, for example to change how fragments are rendered or stored.
  • You are building on top of an existing open-source base instead of starting from scratch.
  • You are comfortable owning deployment, updates, and maintenance.

When Anthropic Artifacts is the better fit

Choose Anthropic Artifacts when you want the capability without operating anything:

  • You want artifact-style output inside a product you already use, with no deployment step.
  • You do not need to inspect or change the underlying code.
  • You would rather not take on hosting and maintenance.

What to verify before deciding

The site evidence here is limited to the project's own framing, a sign-in entry point, and a GitHub link. Before committing, check the current state of the repository directly — license terms, activity, and setup instructions are the details that determine whether self-hosting is realistic for you. Pricing and login requirements are not specified in the available material, so treat access terms as something to confirm on the site rather than assume.

If your deciding factor is "can I run and change this myself," Fragments is the answer. If it is "can I use this without running anything," Anthropic Artifacts is.

What Are Open-Source UI Element Libraries and How Do They Differ From UI Frameworks?

An open-source UI element library is a collection of individual, ready-made interface pieces—buttons, cards, inputs, toggles, loaders—that you copy into your own project and adapt. A UI framework, by contrast, is a structured system of components, conventions, and often a theming layer that governs how your whole interface is built. The practical difference: an element library gives you a snippet; a framework gives you a way of working. If you need a polished button in ten minutes, reach for the element library. If you're building a 40-screen product with a team, you probably want the framework.

What "open-source UI element library" actually means

The term gets used loosely, so it helps to separate the parts:

  • Open-source: the code is publicly available, and the license tells you what you may do with it—copy, modify, redistribute, or use commercially.
  • UI element: a single, self-contained piece of interface, usually small enough to read in one sitting. A button with hover states, a pricing card, a search field.
  • Library: a browsable, searchable collection of those elements, typically contributed by many different people.

On a site like Uiverse, elements are shared by a community and written in plain CSS or Tailwind. You find one you like, copy the markup and styles, paste them into your project, and adjust colors, spacing, and text to fit. There's no package to install and no build step required—which is exactly the appeal, and also the source of most of the confusion.

Element library vs. UI framework: the core differences

Dimension Open-source UI element library UI framework / design system
Unit of reuse A single snippet you copy A component you import or call
Installation None; paste into your code Package install, config, sometimes a provider
Consistency Depends on you; each element may look different Enforced by shared tokens and APIs
Theming Manual edits per element Central theme/config file
Updates You own the copy; no upstream updates Version bumps bring fixes and changes
Accessibility Varies per contributor; must be checked Usually tested and documented
Best for Prototypes, landing pages, small sites, one-off needs Multi-page apps, teams, long-lived products
Learning curve Low—read the CSS Higher—learn the API and conventions

The table isn't a verdict. It's a map of trade-offs. Element libraries win on speed and freedom; frameworks win on consistency and maintenance.

Licensing and attribution: what to check before you paste

This is where people get into trouble, and it's worth slowing down for.

  1. Find the license. Every element or collection should state one. Common open-source licenses include MIT, Apache-2.0, and BSD. Some projects use copyleft licenses like GPL, which can impose obligations if you redistribute your code.
  2. Understand what the license permits. MIT and Apache-2.0 are permissive: you can typically use the code in commercial and closed-source projects. Copyleft licenses may require you to release derivative source under the same terms.
  3. Check attribution requirements. Permissive licenses usually require you to keep the copyright notice and license text somewhere in your project. That's a real obligation, not a formality.
  4. Look for per-element terms. On community sites, the site's overall terms and the individual contributor's stated wishes may differ. If a contributor asks for credit, honor it.
  5. When in doubt, ask or avoid. If a snippet has no license at all, you don't have clear permission to reuse it. Treat "no license" as "not open source," even if the code is publicly visible.

This article is general information, not legal advice. For commercial products with real exposure, have someone qualified review the licenses you're relying on.

How to use a community element in your project: a practical workflow

Here's a repeatable process that avoids most of the usual mess.

1. Start from a real need, not a browsing session

Decide what you need first—"a compact primary button with a loading state"—then search. Browsing aimlessly produces a pile of pretty snippets that don't fit together.

2. Copy the smallest version that works

Take the markup and the styles. Strip anything you don't need: demo wrappers, extra animations, decorative layers. Less code means fewer surprises.

3. Convert it to your conventions

If your project uses design tokens or CSS variables, replace hard-coded values:

/* Before: hard-coded */
.button { background: #4f46e5; border-radius: 8px; }

/* After: token-based */
.button { background: var(--color-primary); border-radius: var(--radius-md); }

This one step is what keeps a copied element from looking like a foreign object in your UI.

4. Check accessibility before you ship

Community elements vary widely here. Verify at minimum:

  • Keyboard focus is visible and the element is reachable by Tab.
  • Color contrast meets WCAG AA (4.5:1 for normal text).
  • Interactive elements use semantic HTML (<button>, not a clickable <div>).
  • Form inputs have associated labels.
  • Motion respects prefers-reduced-motion.

5. Test in context

Paste it into a real page with real content. Long labels, small screens, and dark mode break more copied elements than anything else.

6. Note where it came from

Keep a short comment or an internal credits file: source, license, date. Future you—and your legal reviewer—will be grateful.

Where element libraries genuinely shine

  • Prototypes and demos: you need something clickable today, not a design system.
  • Landing pages and marketing sites: a handful of distinctive elements, each custom.
  • Filling gaps: your framework lacks one specific component, and you don't want to build it from scratch.
  • Learning: reading well-made CSS is one of the fastest ways to improve.
  • Small projects: a personal site doesn't need a theming architecture.

Where they fall short

  • Consistency at scale: ten elements from ten contributors rarely look like one product.
  • Maintenance: you own every copy. When your design changes, you edit each one.
  • Accessibility debt: you inherit whatever the contributor did or didn't do.
  • No upstream fixes: a bug fixed in the original won't reach your copy.
  • Integration friction: different naming conventions, different units, different assumptions about resets.

When to choose which

Choose an element library when the scope is small, the timeline is short, or you need a few distinctive pieces rather than a whole system.

Choose a framework or design system when multiple people build multiple screens over months, when consistency is a product requirement, or when accessibility and theming need to be guaranteed rather than checked.

A hybrid works well for many teams: adopt a framework for the structural components—forms, navigation, layout—and borrow individual elements for the places where you want personality. Just route every borrowed element through the same token and accessibility checks, so it lands as part of your system rather than beside it.

The short version: open-source UI element libraries are a fast, flexible way to get good-looking interface pieces into a project. They are not a substitute for a design system, and the license and accessibility details are the part worth reading carefully.

What is Fragments by E2B?

Fragments by E2B is an open-source project from E2B that is positioned as an open-source version of Anthropic's Artifacts. If you want a self-hostable or inspectable implementation of the "AI generates a runnable artifact in a side panel" pattern, Fragments is the project to look at. The landing page at fragments.e2b.dev presents it as an open-source project made by E2B, with a sign-in entry point and a "Star on GitHub" link.

What Fragments actually is

Fragments is a web application that reproduces the Artifacts experience: an AI model produces code or content, and the result is rendered in a separate pane rather than buried in the chat transcript. E2B's framing is explicit — the site describes it as the open-source version of Anthropic's Artifacts.

Two things follow from that framing:

  • It is a product surface, not a library. You interact with it as an app (sign in, generate, view output), not by importing a package into your own codebase.
  • It is open source. The page links to GitHub, so the implementation is available to read, fork, and self-host, subject to the project's own license and setup requirements.

How it relates to Anthropic's Artifacts

Dimension Anthropic Artifacts Fragments by E2B
Nature Feature inside Anthropic's product Standalone open-source project
Source availability Closed Open source, hosted on GitHub
Control Managed by Anthropic You can inspect and, in principle, self-host
Entry point Inside the Anthropic app Sign-in on fragments.e2b.dev

The practical difference is control and transparency. Artifacts is a managed feature you use as-is. Fragments gives you the same general idea in a form you can read, modify, and run yourself.

Who it is for

  • Developers evaluating the artifact pattern. If you are building an AI app with a preview pane and want a working reference, reading an open-source implementation is faster than designing from scratch.
  • Teams that need self-hosting. Because it is open source, it is a candidate when a managed feature is not an option.
  • People curious about E2B's approach. Fragments is a concrete example of what E2B builds.

If you only want to use Artifacts inside Anthropic's product, Fragments is not a replacement for that workflow — it is a separate project with its own sign-in and hosting.

Getting started

  1. Go to fragments.e2b.dev.
  2. Use the sign-in entry point shown on the page.
  3. For source code, setup, and self-hosting details, follow the GitHub link ("Star on GitHub") from the same page — that is where the project's actual instructions live.

The landing page itself is minimal: a heading, a sign-in option, and the GitHub link. Treat it as the front door, and the repository as the documentation.

What the page does not tell you

The landing page does not state pricing, usage limits, or whether sign-in is required for every feature. Do not assume it is free or that no account is needed — those details are not on the page and should be confirmed from the project's repository or after signing in.

What Is E2B and How Does It Relate to Fragments?

E2B is the organization behind Fragments, and Fragments is one of its open-source projects. The site itself states this directly: the page heading reads "Fragments by" and the excerpt notes that "Fragments is an open-source project made by" E2B. So if you are evaluating Fragments, you are evaluating a project maintained under the E2B name — not a standalone tool with unknown ownership.

The relationship in plain terms

Element Role
E2B The organization that makes Fragments
Fragments An open-source project by E2B
fragments.e2b.dev The hosted site for the project, on an E2B subdomain

The subdomain fragments.e2b.dev is itself a signal: the project lives under E2B's domain rather than a separate brand domain, which is consistent with it being an E2B project rather than a third-party product.

Why the "made by E2B" detail matters

When you decide whether to adopt or build on a tool, the maintainer is part of the decision. Knowing that Fragments comes from E2B tells you:

  • There is an identifiable organization behind it, not an anonymous repository.
  • Maintenance context is tied to E2B's other work, so the project's direction may be shaped by E2B's broader priorities.
  • The hosted entry point is on E2B's infrastructure, which is where you would go to use it directly.

What Fragments is, in one line

The site describes Fragments as the "open-source version of Anthropic's Artifacts." That framing is the quickest way to understand its purpose: it is a self-hostable, open-source take on the Artifacts experience, published by E2B.

Practical takeaways

  • If you want to know who is behind Fragments, the answer is E2B.
  • If you want to use it, the entry point is fragments.e2b.dev, which offers a sign-in option and links to the GitHub repository ("Star on GitHub").
  • If you want to inspect or contribute, the source is open source, and the site points you to GitHub.

For questions about how Fragments compares feature-by-feature to Anthropic Artifacts, or where exactly to find the source code and sign-in page, those are covered separately — the key fact here is simply that E2B is the maker, and Fragments is its open-source project.

Should I Use Fragments by E2B, and What Do I Need to Get Started?

Fragments by E2B is worth considering if you want an open-source alternative to Anthropic's Artifacts and are comfortable signing in and either using a hosted instance or deploying the project yourself. It is built and maintained by E2B, and the project page presents it as "an open-source project" with a sign-in entry point and a GitHub star link. If you need a managed, zero-setup product with published pricing and support terms, this page does not provide that information, so you would need to verify those details elsewhere before committing.

What Fragments by E2B actually is

Based on the site's own description, Fragments is the open-source version of Anthropic's Artifacts. That framing matters because it tells you the category of tool you are evaluating: a place to generate and view self-contained code or content outputs, rather than a general-purpose IDE or a full application platform.

The page evidence is limited to a heading ("Fragments by"), a sign-in link, a GitHub star link, and the statement that Fragments is an open-source project made by E2B. There is no pricing table, no feature matrix, and no deployment documentation on the page itself. Treat anything beyond that as something you need to confirm from the repository or the app after signing in.

Who this fits, and who it does not

Your situation Fragments by E2B is a reasonable fit Look elsewhere first
You want an Artifacts-style experience Yes — that is the stated purpose —
You prefer open source you can inspect or self-host Yes — source is available via the GitHub link —
You need published pricing and a support contract — The page shows no pricing signals
You want zero setup and no account — A sign-in step is present
You need a documented SLA or compliance guarantees — Not stated on the page

The practical dividing line is this: Fragments suits developers who are willing to sign in and either use the hosted instance or take on deployment themselves. It is a weaker fit if your decision depends on knowing the cost, the hosting model, or support commitments before you start.

What you need before you begin

  1. A way to sign in. The page exposes a "Sign in" action. Whether that means a GitHub account, an email link, or another provider is not specified in the available evidence, so plan on having at least one common identity provider ready.
  2. Access to the source if you intend to self-host. The page links to GitHub ("Star on GitHub"), which is your route to the code. The page does not state a license, so check the repository's license file before you rely on it for anything commercial.
  3. A decision about hosting. You are choosing between the instance reachable from fragments.e2b.dev and running the project yourself. The page does not describe self-hosting requirements such as runtime, dependencies, or environment variables, so budget time to read the repository's setup instructions.
  4. A willingness to verify pricing yourself. No pricing keywords, pricing links, or payment platforms appear in the page evidence. Do not assume it is free to operate at scale just because the source is open — hosting, compute, and any E2B services you pair with it may carry costs.

How to evaluate it in about fifteen minutes

  • Open fragments.e2b.dev and click Sign in to see which identity providers are offered. That single step tells you whether onboarding matches your organization's constraints.
  • Follow the Star on GitHub link to reach the repository. Read the README and license first; those two files answer most of the "can I actually use this" questions.
  • Check whether the repository documents a self-hosting path. If it does not, treat the hosted instance as the primary option.
  • Compare against Anthropic Artifacts on the dimensions that matter to you: openness of source, where your data lives, and who operates the runtime. The page positions Fragments as the open-source counterpart, but it does not publish a feature-by-feature comparison, so build that comparison from both products' own documentation.

Common sticking points

  • Assuming "open source" means "no account." The sign-in requirement is visible on the page; open source refers to the code, not to anonymous access.
  • Assuming it is free. The absence of pricing information is not evidence of zero cost. Confirm before you build a workflow around it.
  • Skipping the license check. Open source covers many license types with very different obligations. Read the actual license in the repository.
  • Expecting a documented deployment guide on the landing page. It is not there. The repository is where setup details would live.

If your goal is simply to try an Artifacts-style tool and you are fine signing in, start with the hosted instance. If your goal is to run it inside your own infrastructure, go straight to the GitHub repository and confirm the license and setup requirements before investing further.

Website Overview

Several search or sharing settings need attention. Together they may make snippets, preview images or preferred URLs less consistent across platforms.

Domain and Registration

The registrar, MarkMonitor Inc., specializes in corporate domain and brand management, suggesting attention to domain asset protection. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain has about 3 years of registration history; its current configuration provides more context than age alone. The domain uses the common .dev extension, which is not an independent safety signal.

DNS and Email

Nameservers are provided by Google Cloud DNS, indicating managed DNS hosting. MX records point to the Google Workspace email service. SPF and DMARC are configured. DKIM status is unknown. TXT records include verification markers for Google, Apple, Microsoft. Such markers may also remain after a service stops being used. DNSSEC signatures were not detected, so this additional DNS authenticity protection is not confirmed.

TLS and Certificates

The certificate uses an RSA 2048-bit public key, offering broad client compatibility. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.

HTTP and Browser Security

The response lacks these common security headers: CSP, X-Content-Type-Options, Referrer-Policy, Permissions-Policy. CORS permits any origin to read this response. This is common for public resources; sensitive responses need narrower handling. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. No obvious internal addresses or debug information were found in the headers. The Server header contains the custom value Vercel.

Technology Stack Analysis

The public page identifies Next.js, Google Tag Manager, Vercel without precise versions, leaving fewer clues for version-specific scanning.

Search and Social Sharing

No homepage canonical URL was detected. If duplicate URLs exist, consolidation may be less explicit. No Open Graph metadata was detected, so social previews may depend on platform inference. The title has 16 characters, within a common display range. A meta description is present, with 44 characters. The observed directives allow indexing and link following.

Hosting and Email

DNSGoogle Cloud DNS
HostingVercel
EmailGoogle Workspace
Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) United States flagUnited States Inferred 66.33.60.130

Registration details

RDAP / WHOIS

RegistrarMarkMonitor Inc.
Registered2023-04-03
Expires2029-04-03
Domain statusclient delete prohibited、client transfer prohibited、client update prohibited
Nameserversns-cloud-d1.googledomains.com、ns-cloud-d2.googledomains.com、ns-cloud-d3.googledomains.com、ns-cloud-d4.googledomains.com
DNSSECunsigned

DNS records

DNS

TypeNameValueTTLPriority
Acname.vercel-dns.com66.33.60.130300—
Acname.vercel-dns.com76.76.21.61300—
MXe2b.devaspmx.l.google.com3001
MXe2b.devalt1.aspmx.l.google.com3005
MXe2b.devalt2.aspmx.l.google.com3005
MXe2b.devalt3.aspmx.l.google.com30010
MXe2b.devalt4.aspmx.l.google.com30010
NSe2b.devns-cloud-d1.googledomains.com21600—
NSe2b.devns-cloud-d2.googledomains.com21600—
NSe2b.devns-cloud-d3.googledomains.com21600—
NSe2b.devns-cloud-d4.googledomains.com21600—
TXTe2b.dev292726300—
TXTe2b.devMS=ms40086958300—
TXTe2b.devanthropic-domain-verification-8496ck=swOsJoYZ1ik10uMw5o1ijr3RC300—
TXTe2b.devapple-domain-verification=aDS5G9BxMFP6Iyo8300—
TXTe2b.devfigma-domain-verification=979068a81b16debe0cb6ded691e66d880f7d92214dcc7c4c455f3b5b9f045628-1785080291300—
TXTe2b.devgoogle-site-verification=-LhidCByqiXMETou0Dr3ORUC3kbrwzEze3cnaRRwumg300—
TXTe2b.devgoogle-site-verification=HaAkk9ZhWWZy01Fd4hqmpSEnvAnwgLujl72KGK-H7R0300—
TXTe2b.devgoogle-site-verification=QZj1fjxHQivAC3ielqtAqongH09TsfycgLS4aRS5W6M300—
TXTe2b.devgoogle-site-verification=k8MW2d7yEPTC7PNccDkzvwK3UEjOAo4Cz_HvP8DQ-u0300—
TXTe2b.devgoogle-site-verification=uLEZHfe0SdFK-fhpXoCi9yrpHtGtqf2q7cZTW-iVxF0300—
TXTe2b.devlaunchdarkly-domain-verification=f305f69c-db18-425d-8e44-90ada999036c300—
TXTe2b.devlinear-domain-verification=cuaxvxyzyd8r300—
TXTe2b.devnotion-domain-verification=3uqMtdIo3xfKn2YEodOneivFCYsfnzSptFBEBLiX1UN300—
TXTe2b.devplain-domain-verification-7fbqap=h1EUgerJbggmHiGLs7GR3Uj4e300—
TXTe2b.devv=spf1 include:_spf.google.com include:spf.mtasv.net -all300—
CNAMEfragments.e2b.devcname.vercel-dns.com300—
DMARC_dmarc.e2b.devv=DMARC1; p=reject; sp=reject; pct=100; rua=mailto:dmarc_aggregate_analyser+18b55b8cd24334b0ab96a2decb523c69@zerobounce.net!5k; ruf=mailto:dmarc_forensics_analyser+18b55b8cd24334b0ab96a2decb523c69@zerobounce.net!5k; fo=1; aspf=s; adkim=s300—

TLS and certificates

TLS / SSL

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectfragments.e2b.dev
IssuerLet's Encrypt
Valid until2026-11-23T09:06 · Remaining when checked: 39 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

HeaderValue
content-typetext/html; charset=utf-8
cache-controlpublic, max-age=0, must-revalidate
serverVercel
strict-transport-securitymax-age=63072000
x-frame-optionsDENY
access-control-allow-origin*

Identified technologies

Next.jsGoogle Tag ManagerVercel

Pages, Search and Sharing

Meta descriptionOpen-source version of Anthropic's Artifacts
Canonical URLNot detected
LanguageEnglish (default)
Twitter CardNot detected

Unknown

No robots.txt found

No sitemaps found

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