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automation

Streamline automation with heym

Get self-hosted AI workflow automation with heym, for founders needing efficient workflow management.
intermediate⏱ 1-2 hours💵 Free (self-hosted)
803 stars73 forksPythonUpdated 7/26/2026100% free · open source
What it is

Set up self-hosted AI workflow automation using heym.

What you can make with it

Automations like: when a new Stripe customer signs up, add them to Notion and send a welcome email via Resend.

How it helps

Save time by automating repetitive tasks and increase productivity with efficient workflow management.

Real use case example

"A founder can use heym to automate customer onboarding by setting up a Visual Canvas with a 'New Stripe Customer' trigger (step 1), then link that to a Notion database update (step 2) and finally send a welcome email via Resend (step 3). This reduces manual work and saves time for focusing on growth."

If you're new

Pick this up when you understand basic programming concepts and want a straightforward way to automate workflows.

If you're senior

Senior engineers will reach for this when needing a highly customizable, self-hosted AI workflow automation solution.

Common confusion cleared up

This skill might seem daunting due to its self-hosted nature, but it offers flexibility and customization for complex workflows.

Best inside these AI tools
Claude DesktopCursor
Pairs with
Stripe webhookNotion databaseGPT (ChatGPT)
Why we list it on WorkflowStacks: This skill is included because it's an open-source solution for self-hosted AI workflow automation.
What it does

Heym automates AI workflows, allowing founders to efficiently manage and optimize their AI processes through a visual canvas and customizable agents.

When to use it
  • •You need to automate repetitive AI tasks and workflows
  • •You want to visually design and monitor your AI workflows in real-time
  • •You require a self-hosted solution for security and control over your AI automation
Quick start
  1. 1Clone the heym repository from GitHub and follow the installation instructions
  2. 2Set up your first agent and workflow using the visual canvas
  3. 3Integrate your AI models and services with heym's workflow automation
  4. 4Monitor and optimize your workflows using heym's observability features
Ready-to-paste prompt
python -m heym.main --config config.yml
Saves to your device

Topics

ai-agents
ai-agents-framework
ai-assistant
automation
automation-tool
autonomous-agents
coding-agent
evals
human-in-the-loop
mcp
mcp-server
mcp-servers
mcp-tool
n8n-alternative
no-code
no-code-automation
rag
self-hosted
workflow-automation
workflows
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

20
top-level files
7
folders
110.2M
repo size
Other
license
Key files
.editorconfig
AGENTS.md
README.md
File tree
.cursor/
.github/
backend/
docker/
docs/
frontend/
scripts/
.dockerignore
.editorconfig
.env.example
.gitignore
AGENTS.md
check.sh
CLAUDE.md
COMMONS-CLAUSE.md
deploy.sh
docker-compose.yml
ENVIRONMENT-VARIABLES.md
glama.json
LICENSE
README.md
run_e2e.sh
run_tests.sh
run.sh
Quick Actions
Details
Creator
heymrun
Language
Python
Category
automation
Published
3/28/2026

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