Temporal service

Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.

Event-driven Automation Framework for Kubernetes

A local-first workflow engine that you can setup in minutes. It aims to be an ideal choice for teams that find Airflow to be overkill and are looking for a simpler solution.

µTask is an automation engine that models and executes business processes declared in yaml. ✏️📋

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

Durable workflow automation in just a few lines of code

Temporal Go SDK

An experimental distribution of Temporal that runs as a single process

A programmable, observable and distributed job orchestration system.

Flowpipe is a cloud scripting engine. Automation and workflow to connect your clouds to the people, systems and data that matters.

A tech stack agnostic Event Driven Workflow framework, written in Go, that supports durable, robust, and idempotent state changes with timeouts, callbacks, scheduled triggers, and await calls. Compatible with Kafka and Reflex out of the box.

Houston orchestration API. callhouston.io

Durable Workflow Orchestration with Golang and Postgres

🔃 Common convenience methods, and developer ergonomics for Temporal's Go SDK.

An easy-to-use workflow automation library for Go. Supports conditional branching, parallel execution, embedded scripting, and execution checkpointing. Think of it like a lightweight hybrid of Temporal and AWS Step Functions.

The full source code for the article Building your first Cadence Workflow. Check out the article for a detailed walk-through of this repository.

Vapi CLI - Voice AI agents for developers

A kubernetes native workflow orchestrator used to create DAGs that can run on a schedule as well as in an event driven manner

A Model Context Protocol (MCP) server written in Go that empowers AI agents and Large Language Models (LLMs) to seamlessly interact with Kanboard. It transforms natural language commands into Kanboard API calls, enabling intelligent automation of project, task, and user management, streamlining workflows, and enhancing productivity.