Hatchet

A task queue and workflow engine for background jobs and AI agents, with SDKs for Python, TypeScript, Go and Ruby and a built-in monitoring dashboard.

8.2k stars, 528 forks Go On GitHub since December 2023

Visit website View on GitHub How to run it

What is Hatchet?

Hatchet runs background tasks and multi-step workflows for your application, with queuing, automatic retries, durable execution, rate limits and concurrency controls. A dashboard shows every run, its logs and alerts. You write tasks in Python, TypeScript, Go or Ruby, and run them through Hatchet Cloud or a self-hosted engine with PostgreSQL and RabbitMQ.

Good fit if

  • You want to replace a home-grown Celery, BullMQ or cron setup with something you can observe.
  • You run AI agents and need retries and concurrency limits around model calls.
  • You prefer a compact self-hosted stack.

Look elsewhere if

  • You need full durable execution with very long waits and a large ecosystem: Temporal.
  • You schedule data pipelines rather than application tasks: Dagster or Prefect.

Before you adopt it

Hatchet is MIT-licensed, with no paid parts in the repository; the company sells Hatchet Cloud. The project is young, started in December 2023, and a small team writes most of the code.

Drafted with AI from the project's README and repository data, then checked against that data on 30 October 2026. Report a correction

Hatchet health: is it still maintained?

83 of 100, actively developed

  • Activity
    515 commits in the last 90 days, the latest on 31 October 2026.
    30 / 30
  • Contributors
    8 people wrote the latest 100 commits; the most active wrote 38% of them.
    13 / 20
  • Releases
    15 releases in the last 12 months; the latest, v0.114.2, on 26 October 2026.
    19 / 20
  • Replies to issues
    Maintainers answered 50% of recent issues, with a median first reply after 12 hours.
    16 / 20
  • Security practices
    No OpenSSF Scorecard for this repository yet, so this part gets a neutral score.
    5 / 10

Read from GitHub on 1 November 2026. How the score works

Hatchet license: is it open source?

Hatchet uses MIT, an open-source license approved by the OSI.

  1. December 2023First published on GitHub.
  2. TodayMIT.

How to run Hatchet yourself

Docker
Dockerfile or compose file in the repository
Compose file
docker-compose.yml: 4 services (postgres, rabbitmq)
Setup effort
3 of 5, judged from the compose file
Kubernetes
No Helm chart in the repository
Desktop and mobile
No app builds in GitHub releases
Interface languages
English only

Install instructions: hatchet.run or the README on GitHub.

Alternatives to Hatchet

  • TemporalTemporal service 83 health · MIT · 24.1k stars
  • ConductorConductor is an event driven agentic workflow engine providing durable and highly resilient execution engine… 78 health · Apache-2.0 · 32.4k stars
  • WindmillCode-first platform for workflows, apps and AI agents, on the fastest self-hostable orchestrator… 78 health · Apache-2.0 · 18.3k stars
  • DaguSelf-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over… 77 health · GPL-3.0 · 4.5k stars
  • Apache AirflowApache Airflow - A platform to programmatically author, schedule, and monitor workflows 87 health · Apache-2.0 · 47.3k stars

All 33 projects in Workflow automation

Questions about Hatchet

Is Hatchet open source?

Yes. Hatchet is published under MIT, an OSI-approved open-source license.

Is Hatchet still maintained?

Its health score is 83 of 100 (actively developed). It had 515 commits in the last 90 days, the latest on 31 October 2026, and its latest release came out on 26 October 2026.

How do I run Hatchet?

You can run it with Docker. The README on GitHub has the exact steps.

What are the alternatives to Hatchet?

Close alternatives in the Workflow automation category include Temporal, Conductor, Windmill.