TemporalOpen
Open-source durable execution platform for reliable workflows
Temporal is an open-source durable execution platform that runs code to completion through failures, self-hosted with Docker or Kubernetes or on managed Temporal Cloud.
Tag
6 catalogue entries use this topic; each Project's license policy is labeled separately.
Open-source durable execution platform for reliable workflows
Temporal is an open-source durable execution platform that runs code to completion through failures, self-hosted with Docker or Kubernetes or on managed Temporal Cloud.
Open-source background jobs and durable AI workflows for TypeScript
Trigger.dev is an open-source platform for building durable AI agents and background workflows in TypeScript, with retries, queues, and observability.
Open-source cron job monitoring with dead-man's-switch alerts
Healthchecks is an open-source cron job monitor: each job gets a unique ping URL, and Healthchecks alerts you when a job misses its schedule. Hosted service covers 20 jobs free; the BSD-3-Clause codebase self-hosts on Python, Django, and PostgreSQL or MySQL.
Postgres-native task queue for durable background workflows
Hatchet is a Postgres-native distributed task queue for background work and durable multi-step workflows, with retries, concurrency controls, and scheduled or event-driven execution through Python, TypeScript, Go, and Ruby SDKs. The MIT-licensed engine self-hosts with Docker or Lite mode, and Hatchet Cloud adds managed hosting on usage-based pricing.
Durable step functions for event-driven apps and AI agents
Inngest is a durable execution platform for event-driven apps: SDK step functions with checkpoints, retries, and waits run on serverless or your own servers.
Open-source BullMQ dashboard for modern Node apps
Workbench is an open-source dashboard for BullMQ queues in Node.js and Bun applications. It mounts as a route inside thirteen supported frameworks or runs standalone via Docker, showing jobs, flows, schedulers, and per-queue metrics with search, tags, and a dark-mode interface. The MIT-licensed project ships a migration guide from bull-board, an MCP server for AI-assisted operations, and a macOS app, and it observes rather than replaces the operator's own BullMQ workers.