#235 · Primary category: AI Agents & Automation

hatchet

concurrency dag distributed distributed-systems durable-execution event-driven fastapi golang nodejs python queue typescript workflow-engine

🪓 An orchestration engine for background tasks, AI agents, and durable workflows

Project last updated:08/29/26

GitHub Stars

7.8K

Forks

478

Contributors

88

License

MIT

Why we included this project

Hatchet sits one level above a plain job queue: background work runs as durable steps that can be replayed after a crash instead of vanishing. That matters for agent loops and long-running pipelines, where a failed step should trigger a retry rather than force a full restart. The engine handles DAG pipelines, scheduled runs, and event-triggered work, with first-party SDKs for Python, TypeScript, Go, and Ruby, so one platform can carry both an agent loop and a batch backfill. You can use the managed cloud or self-host on your own Postgres-backed stack, which gives teams control over where workloads execute. The built-in web UI and alerting, plus OpenTelemetry tracing, make it a practical fit for production systems where silent job failure is not an option.

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