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Agent and tool search

Agent and Tool Search finds public AI apps by what they do, not by vendor name. Describe the job, such as transcribing an interview with timestamps, and it searches Hugging Face Spaces and lists up to 12 matches, most liked first, with each Space's SDK and like count. Treat every result as a lead to vet, not an endorsement.

Searches
public Hugging Face Spaces
Results
up to 12, most liked first
Cost
free, no signup

Built and maintained by Sakshi Kumari and Ashish Khan, SEO specialists at MoxSEO. Last reviewed 19 October 2026.

Describe the input, the output and any format you need. 3 to 120 characters.

Try

Matching Spaces

Each result shows the Space, its SDK and its likes

  1. Not runSpace name and link—

    Why it mattersThe name is the owner and Space ID on Hugging Face, so it tells you who published the app. Two Spaces with similar names can come from very different owners.

    How to fixOpen the Space and read its card: who owns it, what it does, which model it runs and what licence applies.

  2. Not runSDK—

    Why it mattersThe SDK shows how the Space is built: Gradio, Streamlit, Docker or static HTML. It hints at how you can use it, for example whether it has a simple web form or a full custom app.

    How to fixPick a Space whose interface fits the job. If you need to call it from code, check that the Space documents an API and its limits.

  3. Not runLikes—

    Why it mattersLikes show how many Hugging Face users bookmarked the Space. Results are sorted by likes, which favours popular, older apps over new ones.

    How to fixUse likes as a rough popularity signal only. Check recent activity and whether the Space is running before you shortlist it.

Before you use a result

What the search can and cannot tell you

Nothing to show yet. After a search, a reminder of what to check before relying on a third-party app appears here. Matching text is not validation.

How to search and shortlist a tool

Capability search starts with the job, not a vendor name. Matching words are a discovery lead; the vetting is your part.

  1. Step 1

    Describe the capability and the output

    Name the input, the result you expect, the format and any constraint. "Transcribe an interview and return timestamps" finds better matches than "audio tool".

  2. Step 2

    Run the search

    The tool sends your words to the public Hugging Face Spaces search and returns up to 12 matching Spaces, most liked first. If nothing matches, try broader or different words.

  3. Step 3

    Look past the title

    Open each candidate and check its documentation, whether it is running, supported formats, limits, authentication, update history and examples before you shortlist it.

  4. Step 4

    Test with non-sensitive data first

    Use a controlled sample, write down the output you expect, watch how it fails, and keep private information out until you have reviewed the provider and its terms.

What the search returns, and what it does not

The search covers one public registry: Hugging Face Spaces, where developers host demo apps built on machine learning models. Each Space runs on one of a few SDKs, described in the Hugging Face Spaces documentation. The tool does not search other agent directories, app stores or private registries.

A result is a discovery lead, not an endorsement by MoxSEO. Before relying on a third-party agent or tool, judge its security, suitability, legal terms, pricing and ongoing availability yourself. Read the MoxSEO privacy policy for how this site handles what you type, and the chosen provider's own terms before you send it personal, confidential or regulated data.

To make your own tools discoverable, read our guide to agentic resource discovery.

For how to write a good search and vet what comes back, read our guide on how to find AI tools for a job on Hugging Face.

Fields in each search result
FieldWhat it tells youWhat it does not tell you
Space nameThe owner and Space ID, linked to the Space on Hugging Face.Whether the owner is who they claim to be, or whether the app is safe.
SDKHow the Space is built: Gradio, Streamlit, Docker or static.Whether it exposes an API, its rate limits or its uptime.
LikesHow many Hugging Face users liked the Space. Results are sorted by this.Quality, accuracy, maintenance or fitness for your task.
OrderMost liked first, up to 12 results.Relevance ranking beyond the text match. A newer, better Space can sit lower or miss the list.

What the search does

  • Sends your description to the public Hugging Face Spaces search
  • Lists up to 12 matching Spaces, most liked first
  • Shows each Space's SDK and like count, with a link
  • Lets you copy or download the list

What it does not do

  • Search any registry other than Hugging Face Spaces
  • Test, run or review the apps it finds
  • Check licences, permissions or data handling
  • Endorse or rank results by quality

A vetting checklist for any result

Run through these before a result goes anywhere near real work.

Need help evaluating your shortlist?

Discuss the capabilities, provenance and fit of the resources you found before choosing what to use.

Discuss this with us

Questions about agent and tool search

Short, standalone answers. Email editorial@moxseo.com if any of them is wrong.

What does Agent and Tool Search do?

It searches public Hugging Face Spaces for apps that match a plain-language description of a job, such as transcribing audio with timestamps. It lists up to 12 matches, most liked first, with each Space's name, link, SDK and like count. It does not test or review the apps it finds.

Which registries does it search?

Only Hugging Face Spaces, through its public API. It does not search other agent directories, app stores, GitHub or private registries, so a capability that is hosted elsewhere will not appear.

How are the results ordered?

By likes, most liked first, up to 12 results. Likes measure popularity on Hugging Face, not quality or fitness for your task, so a newer or better Space can rank lower or not appear at all.

What does the SDK column mean?

It shows how the Space is built. Hugging Face Spaces run on Gradio, Streamlit, Docker or static HTML. Gradio and Streamlit Spaces usually offer a simple web interface, Docker Spaces can be any custom app, and static Spaces are plain web pages.

Is a result safe to use?

Not necessarily. A result means the Space's text matched your words. MoxSEO does not endorse it. Check the owner, licence, permissions, data handling, pricing and maintenance, and test with non-sensitive sample data before you rely on it.

How do I write a good search?

Describe the input, the output and the format you need, for example "summarise a PDF into bullet points" rather than "PDF tool". If nothing matches, try broader words or a synonym. The search needs 3 to 120 characters.

How do I make my own tools discoverable by agents?

Publish clear public documentation and declare your resources where agents look for them. The Agentic Resource Discovery Checker tests whether your site exposes an AI catalog, and the Open Knowledge Bundle Generator drafts a Markdown summary of a page's key facts and links.

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Want help choosing
the right tools?

A free 30-minute call with Sakshi Kumari or Ashish Khan, the specialists who run MoxSEO. Bring the job you are trying to automate and your shortlist; they will talk through where AI tools fit your search work and where they do not.

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A call is not an engagement. We never guarantee rankings or AI citations.