---
title: "huginn"
type: "tool"
slug: "huginn-huginn"
canonical_url: "https://www.graphcanon.com/tools/huginn-huginn"
github_url: "https://github.com/huginn/huginn"
homepage_url: null
stars: 49575
forks: 4275
primary_language: "Ruby"
license: "MIT"
categories: ["ai-agents"]
tags: ["feedgenerator", "twitter", "webscraping", "notifications", "scraper", "monitoring", "rss", "automation"]
updated_at: "2026-07-07T18:18:02.55003+00:00"
---

# huginn

> Create agents that monitor and act on your behalf. Your agents are standing by!

A platform for building automated agents to perform tasks based on user-defined rules and triggers.

## Facts

- Repository: https://github.com/huginn/huginn
- Stars: 49,575 · Forks: 4,275 · Open issues: 698 · Watchers: 736
- Primary language: Ruby
- License: MIT
- Last pushed: 2026-07-06T18:56:13+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)

## Tags

feedgenerator, twitter, webscraping, notifications, scraper, monitoring, rss, automation

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## README (excerpt)

```text
-----

## What is Huginn?

Huginn is a system for building agents that perform automated tasks for you online.  They can read the web, watch for events, and take actions on your behalf.  Huginn's Agents create and consume events, propagating them along a directed graph.  Think of it as a hackable version of IFTTT or Zapier on your own server.  You always know who has your data.  You do.



#### Here are some of the things that you can do with Huginn:

* Track the weather and get an email when it's going to rain (or snow) tomorrow ("Don't forget your umbrella!")
* List terms that you care about and receive email when their occurrence on Twitter changes.  (For example, want to know when something interesting has happened in the world of Machine Learning?  Huginn will watch the term "machine learning" on Twitter and tell you when there is a spike in discussion.)
* Watch for air travel or shopping deals
* Follow your project names on Twitter and get updates when people mention them
* Scrape websites and receive email when they change
* Connect to HipChat, FTP, IMAP, Jabber, JIRA, MQTT, nextbus, Pushbullet, Pushover, RSS, Bash, Slack, StubHub, translation APIs, Twilio, Twitter, and Weibo, to name a few.
* Send digest email with things that you care about at specific times during the day
* Track counts of high frequency events and send an SMS within moments when they spike, such as the term "san francisco emergency"
* Send and receive WebHooks
* Run custom JavaScript functions
* Track your location over time
* Create Amazon Mechanical Turk workflows as the inputs, or outputs, of agents (the Amazon Turk Agent is called the "HumanTaskAgent"). For example: "Once a day, ask 5 people for a funny cat photo; send the results to 5 more people to be rated; send the top-rated photo to 5 people for a funny caption; send to 5 final people to rate for funniest caption; finally, post the best captioned photo on my blog."

 

Join us in our [Gitter room](https://gitter.im/huginn/huginn) to discuss the project.

### Join us!

Want to help with Huginn?  All contributions are encouraged!  You could make UI improvements, [add new Agents](https://github.com/huginn/huginn/wiki/Creating-a-new-agent), write [documentation and tutorials](https://github.com/huginn/huginn/wiki), or try tackling [issues tagged with #"help wanted"](https://github.com/huginn/huginn/issues?direction=desc&labels=help+wanted&page=1&sort=created&state=open).  Please fork, add specs, and send pull requests!

Have an awesome idea but not feeling quite up to contributing yet? Head over to our [Official 'suggest an agent' thread ](https://github.com/huginn/huginn/issues/353) and tell us!

## Examples

Please checkout the [Huginn Introductory Screencast](http://vimeo.com/61976251)!

And now, some example screenshots.  Below them are instructions to get you started.











## Getting Started

### Docker

The quickest and easiest way to check out Huginn is to use the official Docker image. Have a look at the [documentation](https://github.com/huginn/huginn/blob/master/doc/docker/install.md).

### Local Installation

If you just want to play around, you can simply fork this repository, then perform the following steps:

* Run `git remote add upstream https://github.com/huginn/huginn.git` to add the main repository as a remote for your fork.
* Copy `.env.example` to `.env` (`cp .env.example .env`) and edit `.env`, at least updating the `APP_SECRET_TOKEN` variable.
* Make sure that you have MySQL or PostgreSQL installed. (On a Mac, the easiest way is with [Homebrew](http://brew.sh/). If you're going to use PostgreSQL, you'll need to prepend all commands below with `DATABASE_ADAPTER=postgresql`.)
* Run `bundle` to install dependencies
* Run `bundle exec rake db:create`, `bundle exec rake db:migrate`, and then `bundle exec rake db:seed` to create a development database with some example Agents.
* Run `bundle exec foreman start`, visit [http://localhost:3000/][localhost], and login with the
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/huginn-huginn`](/api/graphcanon/tools/huginn-huginn)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
