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Artifold
Summary
Every AI prototyping session ends the same way: seventeen browser tabs, a graveyard of unnamed files, and no memory of which prompt produced the clean dashboard layout you want to reuse. Artifold is a local-first library that indexes, previews, and shares your AI-generated HTML artifacts — and feeds your past work back into your next generation as a style reference.
The core loop is index-once, find-fast: Artifold scans your local folders for HTML artifacts produced by tools like ChatGPT Canvas or Claude, catalogs them with metadata, and gives you a searchable preview interface so you stop re-generating work you already did. A one-click share pushes an artifact to GitHub Pages under a permanent link — no infrastructure, no sign-up, no expiry. The '/craft' skill reads your library to carry forward visual patterns into new generation. The ceiling is narrow scope: this is an HTML artifact manager, not a general project archive, so teams storing mixed output formats will find precious little here.
Bottom line: Pick Artifold if your AI output is already HTML-first and you need zero-overhead archiving with shareable links — skip it if your team generates a mix of code, notebooks, and documents, because the catalog covers HTML and nothing else.
Pricing Plans
FreeFree
Full local-first library with sharing and /craft skill integration
- Local indexing and search
- One-click permanent sharing via GitHub Pages
- Dark/light themes
- Sidebar filtering and command palette
- Claude Code /craft skill
- Auto-rescan of watched folders
View full pricing on github.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Scans local directories and builds a searchable preview library for HTML artifacts, so you stop re-generating work that already exists somewhere in your Downloads folder.
- One-command GitHub Pages publishing generates a permanent shareable link with no infrastructure cost and no per-share fees, so collaborators can view a prototype without you setting up a server or a SaaS account.
- The '/craft' skill reads your existing artifact library before new generation, so visual consistency accumulates across sessions instead of resetting every time you open a new chat.
- Fully self-hosted with zero cloud dependencies, so teams under data-handling constraints can run the catalog without routing artifacts through a third-party service.
- Free and open-source under MIT license, so there is no pricing gate on any feature and the codebase is auditable and forkable.
Cons
Sign in to edit- The catalog indexes HTML files only — the moment your team's AI output includes Markdown reports, Python scripts, image exports, or notebooks, Artifold covers a fraction of your archive and you maintain a second system for the rest.
- GitHub Pages is the only supported sharing target, which means teams without GitHub accounts or working inside enterprise environments that block GitHub Pages have no path to the permanent-link sharing feature and must extract files manually.
- With 7 stars and a single maintainer at the time of indexing, the project carries abandonment risk that a team building internal tooling around it should price in — teams that need a maintained, supported artifact management layer will find commercial or larger open-source alternatives more defensible.
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About
- Platforms
- Cross-platform (runs on user's machine)
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-06-09T09:10:55.295Z
Best For
Who it's for
- Users generating frequent HTML prototypes, reports, or designs with AI
- Teams sharing AI-generated work without external infrastructure
- Developers and designers archiving throwaway experiments
- Anyone frustrated by losing track of ChatGPT Canvas or Claude Artifacts
- Privacy-conscious users who want zero cloud dependencies
What it does well
- Organizing scattered HTML/design artifacts from multiple AI tools in one place
- Quickly locating and previewing past AI-generated work without tab/folder clutter
- Sharing generated reports, calculators, or prototypes with collaborators via permanent links
- Building a personal style reference library for AI generation
- Discovering and reusing effective prompts and design patterns from past work
Integrations
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Frequently Asked Questions
- Is Artifold free?
- Yes — Artifold is fully free to use. There is no paid tier.
- Is Artifold open source?
- Yes. Artifold is open source.
- Can I self-host Artifold?
- Yes. Artifold supports self-hosting on your own infrastructure.
- What platforms does Artifold support?
- Artifold is available on: Cross-platform (runs on user's machine).
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Curated lists that include this category
Artifold solves the artifact archaeology problem: you generate HTML specs, reports, calculators, and prototypes with AI tools, they scatter across Downloads folders and chat histories, and within a week you cannot find the one you want. The tool installs locally, scans your designated directories for HTML artifacts, and builds a searchable library with previews — so locating past work is a search query rather than a folder crawl. From that library you can push any artifact to GitHub Pages with a single command, generating a permanent shareable link that costs nothing beyond your existing GitHub Pages quota.
The differentiating feature is the ‘/craft’ skill: when you start a new generation, this skill reads your existing library and extracts visual patterns, layout choices, and design conventions from past artifacts to carry them forward. Instead of re-describing your preferred style in every prompt, your accumulated work becomes the style guide. This is not autonomous agent behavior — you invoke it explicitly — but it closes the loop between archive and generation in a way that plain file storage does not.
Artifold fits tightly into one workflow: a developer or designer generating frequent HTML output who wants a private, self-hosted catalog with sharing that does not require standing up external infrastructure. The self-hosted, zero-cloud-dependency architecture satisfies privacy requirements that SaaS artifact managers do not. The tool does not handle non-HTML outputs — Markdown documents, Jupyter notebooks, image exports, and code files are outside its indexing scope. Teams with mixed-format output will maintain a separate system for everything outside the HTML catalog.