Companies in the category 'Workflow Orchestration'
These are companies that provide open source tools and platforms for coordinating and managing complex workflows across multiple systems and services.
Platform for durable execution of code.
Temporal provides an open-source platform for durable execution, enabling developers to build applications that are resilient to failures. It ensures that workflows can be paused, resumed, and retried without losing state.
Open-source process orchestration platform
Camunda provides an open-source platform for process orchestration and automation, enabling organizations to design, automate, and improve business processes that span people, systems, and devices. Founded in Berlin in 2008, Camunda built its platform on open standards including BPMN and DMN, and its cloud-native process engine Zeebe powers scalable, fault-tolerant workflow execution. Camunda serves enterprise customers across financial services, insurance, manufacturing, and the public sector.
High-throughput, low-latency computing service.
Hatchet is an open-source platform designed for background task orchestration and visibility. It offers a distributed task queue to handle tasks efficiently, ensuring reliability and fairness in execution.
AI workflow orchestration platform
Inngest is a platform for building agentic workflows and agents, enabling developers to create reliable AI products from experimentation to production.
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Check out COSS Weekly on the webDistributed durable execution platform for resilient apps
Restate provides a distributed durable execution platform that simplifies building resilient applications. The platform offers durable execution, virtual objects, and durable promises to handle retries, recovery, asynchrony, and idempotency without requiring a PhD in distributed systems.
Open-source developer platform and workflow engine
Windmill is an open-source developer platform and workflow engine that allows users to turn scripts into auto-generated UIs, APIs, and cron jobs. It enables the composition of these elements into workflows or data pipelines, facilitating the creation of complex, data-intensive applications.

