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How to use Loom Flow: what you can do with it

What is Loom Flow? LoomFlow is a self-hosted, lightweight AI workflow builder that turns a plain-language description into a runnable workflow on a visual canvas and can publish it as an HTTP API.

How do I use it? Run git clone https://github.com/banmu123/LoomFlow.git && cd LoomFlow && bash scripts/init-env.sh && docker compose up -d in a terminal; then open http://localhost:5000, sign in as admin with the default password, and change the password right away; go to Admin, then Model Settings, then Add Model, and enter your model ID, base URL, and API key. Full steps below.

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What do you want to do?

4 use cases

  • Turn a plain-language idea into a runnable AI workflow

    Describe a multi-step AI process in one sentence and get a workflow on the canvas you can run.

    View prompt
    Set up LoomFlow from https://github.com/banmu123/LoomFlow using `bash scripts/init-env.sh` and `docker compose up -d`, then describe the process <process description> in the chat so it generates a workflow. Expected output: a workflow on the canvas with Start and End nodes and the steps from the description. Verify that http://localhost:5000 loads and that the generated workflow appears on the canvas before you report success.

  • Publish a finished workflow as an authenticated HTTP API

    Expose a tested workflow as a POST endpoint that your app or script can call with one API key.

    View prompt
    Using the LoomFlow repo at https://github.com/banmu123/LoomFlow, publish the workflow <workflowId> and call its execute endpoint with the input <sample input>. Expected output: a JSON response from POST /api/publish/<workflowId>/execute. Verify that the call returns HTTP 200 with the workflow result and that the Authorization header uses your current API key.

  • Share a runnable workflow page with a client without sign-in

    Send a public link so a client can see the nodes, enter inputs, and run the workflow themselves.

    View prompt
    In LoomFlow at https://github.com/banmu123/LoomFlow, generate a public share link for the workflow <workflowName>. Expected output: a URL that opens the workflow page without login. Verify by opening the link in a logged-out browser session and running the workflow once with the sample input <sample input>.

  • Find why a workflow run failed and fix it from the trace

    Use the per-node execution trace and the canvas assistant to locate the failing step and its likely fix.

    View prompt
    Using LoomFlow at https://github.com/banmu123/LoomFlow, open the execution trace for the failed run <runId> of workflow <workflowName> and ask the canvas assistant for the root cause. Expected output: the failing node name, its error, and a proposed fix. Verify by re-running the workflow after applying the fix and confirming the trace shows all nodes completed.

Quick start with Loom Flow

  1. Check you have what it needs: A machine with Docker and Docker Compose installed, plus git and a terminal (the README says 1 GB RAM is enough); An API key for an LLM provider such as DeepSeek, or any OpenAI-compatible endpoint, added later through the admin UI; A web browser to open http://localhost:5000.
  2. Open banmu123/LoomFlow on GitHub and read the README and license.
  3. Run git clone https://github.com/banmu123/LoomFlow.git && cd LoomFlow && bash scripts/init-env.sh && docker compose up -d in a terminal
  4. Open http://localhost:5000, sign in as admin with the default password, and change the password right away
  5. Go to Admin, then Model Settings, then Add Model, and enter your model ID, base URL, and API key
  6. In the chat, describe your process in plain language, for example: input a product name, generate selling-point copy, then generate a promo video script

These steps come from our top use case, Turn a plain-language idea into a runnable AI workflow, which also has a copy-paste agent prompt.

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Loom Flow alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forIndie developers, content creators, and small studios who want to build and publish AI automations without setting up a full orchestration platform.
  • Why it is hot134 stars, launched 75 days ago
  • LanguageTypeScript
  • Sourcegithub.com/banmu123/LoomFlow · Back to Hot repos

Requirements

  • A machine with Docker and Docker Compose installed, plus git and a terminal (the README says 1 GB RAM is enough)
  • An API key for an LLM provider such as DeepSeek, or any OpenAI-compatible endpoint, added later through the admin UI
  • A web browser to open http://localhost:5000

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Questions about Loom Flow

What is Loom Flow?

LoomFlow is a self-hosted, lightweight AI workflow builder that turns a plain-language description into a runnable workflow on a visual canvas and can publish it as an HTTP API. It is an open-source project on GitHub: https://github.com/banmu123/LoomFlow.

How do I use Loom Flow?

Run git clone https://github.com/banmu123/LoomFlow.git && cd LoomFlow && bash scripts/init-env.sh && docker compose up -d in a terminal; then open http://localhost:5000, sign in as admin with the default password, and change the password right away; go to Admin, then Model Settings, then Add Model, and enter your model ID, base URL, and API key. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Loom Flow for?

Indie developers, content creators, and small studios who want to build and publish AI automations without setting up a full orchestration platform.

What can I do with Loom Flow?

4 use cases so far, for example: Turn a plain-language idea into a runnable AI workflow; Publish a finished workflow as an authenticated HTTP API; Share a runnable workflow page with a client without sign-in. Each has steps and a copy-paste agent prompt.

What do I need to run Loom Flow?

A machine with Docker and Docker Compose installed, plus git and a terminal (the README says 1 GB RAM is enough); An API key for an LLM provider such as DeepSeek, or any OpenAI-compatible endpoint, added later through the admin UI; A web browser to open http://localhost:5000.

What are alternatives to Loom Flow?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Loom Flow safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.