# Workflow automation examples

> AI-ranked search results for `workflow examples` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 114 total matches; showing the top 30.

Explore on the web: https://awesome-repositories.com/q/workflow-examples

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/workflow-examples).**

## Results

- [powerjob/powerjob](https://awesome-repositories.com/repository/powerjob-powerjob.md) (7,761 ⭐) — Enterprise job scheduling middleware with distributed computing ability.
- [conductor-oss/conductor](https://awesome-repositories.com/repository/conductor-oss-conductor.md) (31,962 ⭐) — Conductor is a durable workflow engine designed to orchestrate complex, long-running business processes and autonomous agent loops. It functions as a stateful execution platform that persists the entire history of a process, ensuring that workflows remain reliable and recoverable across infrastructure failures, system restarts, and transient network errors. By managing task lifecycles, worker polling, and state transitions, it provides a centralized coordination layer for distributed systems.

The platform distinguishes itself through its specialized support for AI agent orchestration, allowin
- [triggerdotdev/trigger.dev](https://awesome-repositories.com/repository/triggerdotdev-trigger-dev.md) (13,696 ⭐) — Trigger.dev is a platform for building durable, event-driven background workflows. It functions as a workflow engine that allows developers to define complex, long-running processes using standard code rather than proprietary configuration languages. By utilizing a durable execution model, the system checkpoints progress, ensuring that tasks can automatically resume from the exact point of failure after a crash or interruption.

The platform distinguishes itself through its focus on stateful, multi-step automation and real-time feedback. It supports the orchestration of AI agents and external
- [kestra-io/kestra](https://awesome-repositories.com/repository/kestra-io-kestra.md) (27,073 ⭐) — Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes through versioned configuration files. It functions as a distributed platform that decouples task scheduling from execution by offloading computational workloads to a fleet of worker nodes. The system uses a reactive, event-driven engine to initiate workflows automatically in response to external signals, webhooks, schedules, or file system changes.

The platform distinguishes itself through a modular plugin architecture that allows for the integration of custom tasks and external
- [langchain-ai/langgraph](https://awesome-repositories.com/repository/langchain-ai-langgraph.md) (34,925 ⭐) — LangGraph is a framework for building stateful, multi-step agentic workflows by modeling application logic as a directed graph. It provides a runtime environment where complex tasks are orchestrated through interconnected nodes and edges, allowing developers to manage state transitions, persistent memory, and control flow across long-running automated processes.

The platform distinguishes itself through its native support for human-in-the-loop automation, enabling developers to define breakpoints that pause execution for manual review, modification, or approval. It also features checkpoint-ba
- [vercel/workflow](https://awesome-repositories.com/repository/vercel-workflow.md) (1,718 ⭐) — Workflow is a platform for executing long-running, stateful processes that automatically persist progress and recover state after system interruptions. It functions as a durable orchestration engine designed to manage complex, multi-step asynchronous operations within distributed systems.

The framework distinguishes itself through event-sourcing and checkpointing mechanisms that record execution steps as an immutable log, allowing for precise state reconstruction after failures. It provides sandboxed task isolation to run side-effect-heavy logic in restricted environments, ensuring that sensi
- [badboysm890/claraverse](https://awesome-repositories.com/repository/badboysm890-claraverse.md) (3,833 ⭐) — ClaraVerse is a self-hosted orchestration platform for deploying and managing local language models, autonomous agents, and automated workflows on private infrastructure. It functions as a containerized backend manager that orchestrates services, databases, and model providers within local containers to maintain data sovereignty.

The platform features a visual workflow builder with a drag-and-drop interface for designing complex parallel task sequences. It utilizes a multi-model abstraction layer to normalize interactions across diverse local and remote AI endpoints and includes a retrieval a
- [n8n-io/n8n](https://awesome-repositories.com/repository/n8n-io-n8n.md) (192,772 ⭐) — n8n is a workflow automation platform that combines a visual interface with code-based extensibility to design, orchestrate, and manage automated processes. It provides a comprehensive suite of tools for data transformation, filtering, and storage, allowing users to build complex logic through conditional branching, looping, and sub-workflow execution. The platform supports both pre-built integration nodes and custom code execution in JavaScript or Python, enabling connectivity with a wide range of external services and APIs.

The platform includes a suite of generative AI capabilities, such a
- [hatchet-dev/hatchet](https://awesome-repositories.com/repository/hatchet-dev-hatchet.md) (6,622 ⭐) — Hatchet is an open-source durable workflow engine and task orchestration platform. It provides a framework for building and executing fault-tolerant, multi-step pipelines as directed acyclic graphs (DAGs), with automatic retries, scheduling, and real-time observability. The system is built around durable task checkpointing, which persists execution state after each step so work can resume from the last checkpoint after a worker crash or restart, and it supports event-driven task resumption that pauses a task until a matching external event arrives.

The platform distinguishes itself through it
- [elsa-workflows/elsa-core](https://awesome-repositories.com/repository/elsa-workflows-elsa-core.md) (7,629 ⭐) — Elsa Core is a workflow engine framework designed for defining, executing, and managing long-running business processes. It functions as a distributed workflow orchestrator and event-driven trigger system, capable of operating as a multi-tenant platform with secure data isolation.

The project distinguishes itself through a flexible approach to workflow definitions, supporting a visual drag-and-drop designer, programmatic C# definitions, and portable JSON specifications. It provides a highly extensible architecture allowing for the development of custom activities and the use of a dynamic expr
- [argoproj/argo-workflows](https://awesome-repositories.com/repository/argoproj-argo-workflows.md) (16,466 ⭐) — Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It orchestrates complex sequences of containerized tasks by executing them as directed acyclic graphs, allowing for dependency management and parallel processing within a cluster. The system extends the native Kubernetes control plane to manage the full lifecycle of automated processes, from initial triggering to final resource cleanup.

The platform distinguishes itself through its controller-pattern reconciliation, which continuously monitors workflow states to align them with desi
- [temporalio/temporal](https://awesome-repositories.com/repository/temporalio-temporal.md) (18,411 ⭐) — Temporal is a distributed workflow orchestration engine designed to manage fault-tolerant, stateful, and long-running background processes. It functions as a platform for coordinating complex cross-service operations, ensuring consistency and reliability in distributed environments by decoupling workflow orchestration from task execution.

The platform distinguishes itself through a deterministic, event-sourced execution model that reconstructs workflow state by re-executing code from an immutable event log. This approach isolates non-deterministic side effects into managed activities, allowin
- [windmill-labs/windmill](https://awesome-repositories.com/repository/windmill-labs-windmill.md) (15,844 ⭐) — Windmill is an internal developer platform and workflow orchestration engine designed to automate complex business processes and data pipelines. It functions as a distributed serverless runner that executes multi-language scripts within isolated, containerized environments, allowing teams to chain discrete tasks into directed acyclic graphs.

The platform distinguishes itself through a Git-centric approach to infrastructure, where system state and workflow definitions are synchronized directly from version control. It features a metadata-driven input system that automatically generates user in
- [spotify/luigi](https://awesome-repositories.com/repository/spotify-luigi.md) (18,676 ⭐) — Luigi is a Python framework designed for building and managing complex batch data pipelines. It functions as a workflow orchestration engine that organizes tasks into directed acyclic graphs, ensuring that jobs execute in the correct logical order based on their dependencies. By utilizing a centralized scheduler, the system coordinates task execution across distributed environments, tracks global workflow state, and prevents redundant processing by verifying the existence of output targets before triggering any work.

The project distinguishes itself through a robust state-tracking mechanism t
- [netflix/metaflow](https://awesome-repositories.com/repository/netflix-metaflow.md) (9,764 ⭐) — Metaflow is a Python machine learning framework and MLOps workflow orchestrator designed to manage the lifecycle of data pipelines from local prototyping to production. It serves as a distributed compute manager and an experiment tracking system, enabling the creation of reproducible pipelines that transition between development and high-availability production environments.

The framework distinguishes itself through an integrated checkpointing system that automatically persists intermediate data artifacts to remote storage, allowing failed runs to be resumed from the last successful step. It
- [cloudwego/eino](https://awesome-repositories.com/repository/cloudwego-eino.md) (9,675 ⭐) — Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers.

The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che
- [pyspur-dev/pyspur](https://awesome-repositories.com/repository/pyspur-dev-pyspur.md) (5,677 ⭐)
- [simstudioai/sim](https://awesome-repositories.com/repository/simstudioai-sim.md) (28,796 ⭐) — This project is an AI agent orchestration platform that provides a visual environment for building, testing, and deploying complex automation workflows. It functions as a low-code development interface where users can chain discrete functional blocks into dependency-aware pipelines to integrate artificial intelligence with external data and services. The platform supports the creation of intelligent conversational agents, automated business processes, and multi-service API orchestrations within a unified workspace.

The platform distinguishes itself through its event-driven integration engine,
- [mastra-ai/mastra](https://awesome-repositories.com/repository/mastra-ai-mastra.md) (21,221 ⭐) — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention.

The framework distinguishes itself through its focus on observability and secure, isolated execut
- [openai/openai-agents-python](https://awesome-repositories.com/repository/openai-openai-agents-python.md) (27,191 ⭐) — This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions.

The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services
- [huginn/huginn](https://awesome-repositories.com/repository/huginn-huginn.md) (49,480 ⭐) — Huginn is a self-hosted automation platform that functions as an event-driven workflow engine. It allows users to build autonomous agents that monitor web services, scrape data, and execute complex tasks by propagating events through a directed graph. By running on your own server infrastructure, it provides a private environment for orchestrating workflows without relying on third-party automation services.

The platform distinguishes itself through a modular, plugin-based architecture that enables the development of custom agents to handle specific data processing needs. Each agent maintains
- [zenml-io/zenml](https://awesome-repositories.com/repository/zenml-io-zenml.md) (5,451 ⭐) — ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure.

The platform distinguishes itself through a service-oriented
- [prefecthq/prefect](https://awesome-repositories.com/repository/prefecthq-prefect.md) (21,640 ⭐) — Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing.

The platform distinguishes itself through a decoupled worker-API architecture, which sep
- [inngest/inngest](https://awesome-repositories.com/repository/inngest-inngest.md) (5,499 ⭐) — Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts.

The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer
- [apache/airflow](https://awesome-repositories.com/repository/apache-airflow.md) (45,902 ⭐) — Airflow is a platform for programmatically authoring, scheduling, and monitoring complex data pipelines. It functions as a workflow automation engine that manages the lifecycle of recurring business processes by executing code-defined task dependencies. By representing workflows as directed acyclic graphs, the system ensures that task execution order and data flow are explicitly defined and reliably maintained across distributed computing environments.

The platform distinguishes itself through a highly modular, provider-based architecture that decouples core orchestration logic from external
- [concourse/concourse](https://awesome-repositories.com/repository/concourse-concourse.md) (7,845 ⭐) — Concourse is a container-based continuous integration and delivery platform that functions as a distributed build system. It operates as a declarative pipeline orchestrator, using a central controller and multiple worker nodes to execute concurrent tasks within isolated containers.

The system distinguishes itself by executing every build step in a separate container to ensure environment consistency and by defining software delivery sequences through portable, versionable configuration files. It provides a web-based pipeline visualizer to display the real-time status and progress of automated
- [stackstorm/st2](https://awesome-repositories.com/repository/stackstorm-st2.md) (6,487 ⭐) — StackStorm is an event-driven automation platform that watches for events from external systems and triggers workflows, actions, and remediation across infrastructure tools. At its core, it provides a workflow orchestration engine that chains multiple actions and conditional logic into reusable, multi-step workflows for complex automation tasks, alongside a rules engine that applies matching criteria to triggers and maps trigger payload data to action inputs for automated responses.

The platform distinguishes itself through a ChatOps integration framework that enables executing commands and r
- [rundeck/rundeck](https://awesome-repositories.com/repository/rundeck-rundeck.md) (6,145 ⭐) — Rundeck is a job scheduling and automation platform that enables organizations to execute operational tasks across servers, containers, and cloud APIs from a central web console or API. It functions as a multi-node command execution engine, allowing scripts and commands to run across distributed Linux and Windows nodes, and serves as a self-service operations portal that delegates specific tasks to authorized users without granting full system access. The platform also operates as an incident response automation tool, automatically triggering diagnostic and remediation workflows when monitorin
- [camunda/camunda-bpm-platform](https://awesome-repositories.com/repository/camunda-camunda-bpm-platform.md) (4,269 ⭐) — Camunda is a business process automation platform and orchestration tool used to model, deploy, and monitor automated workflows and human-centric tasks. It features a BPMN workflow engine for executing processes based on the BPMN 2.0 standard and a DMN decision engine for automating business logic and rule evaluation.

The platform is designed for flexibility through an embedded workflow library that allows the engine to be integrated directly into custom applications. It supports multi-tenant workflow management, enabling the secure separation of process definitions and instance data for mult
- [go-workflow/go-workflow](https://awesome-repositories.com/repository/go-workflow-go-workflow.md) (1,231 ⭐) — Go-workflow is a lightweight library designed for defining and executing business process logic through a state-machine engine. It enables the automation of multi-step operations by managing task lifecycles, approval consensus, and the progression of processes through defined stages.

The engine utilizes a data-driven approach where business processes are structured as serialized JSON arrays, allowing for the definition of routing paths and task sequences without the need for visual modeling tools. It supports hierarchical node nesting to represent complex, multi-stage workflows and employs co