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Orkes

What Is Orkes?

Orkes is an enterprise software company developing technology for workflow orchestration and AI agent execution. Its platform is built around Conductor, an open-source orchestration engine originally developed at Netflix. Orkes extends this foundation with enterprise capabilities for running distributed applications and AI-powered business processes.

The company operates in the AI infrastructure and enterprise automation space, providing tools that connect AI reasoning with structured workflows, software services, and human decision-making. Its technology is designed for development teams that need to coordinate complex processes while maintaining execution history, operational visibility, and control.

What Does Orkes Do?

Orkes provides software that helps organizations coordinate applications, microservices, APIs, AI agents, and human tasks through workflows. Development teams can define processes visually or in code, connect existing services, and manage how individual tasks execute and interact.

The platform supports durable workflow execution, including retries, timeouts, state persistence, and recovery when tasks or services fail. It can also coordinate processes that require branching decisions, parallel tasks, external workers, or human approvals.

For AI applications, Orkes enables teams to combine model-driven reasoning and tool use with predictable execution paths. This allows organizations to build processes in which AI agents perform specific tasks while the workflow engine manages execution, monitoring, and operational controls.

Orkes Technology

Orkes builds on Conductor, an open-source workflow orchestration engine that coordinates tasks across distributed services. Workflow definitions describe the sequence and dependencies of tasks, while the orchestration engine schedules execution, tracks state, and manages failures.

The platform supports durable execution, recording workflow progress so that processes can retry or resume after interruptions. Workflows can include conditional branching, loops, parallel execution, event-driven triggers, and human-in-the-loop steps.

For AI applications, Orkes treats LLM calls, tool use, and agents as workflow tasks. This makes it possible to combine probabilistic AI reasoning with deterministic execution logic, including defined retries, timeouts, approvals, and audit history.

The platform integrates with external workers and software services through APIs, SDKs, and event systems. Supported developer languages include Java, Python, Go, JavaScript, TypeScript, C#, and others. AI-related capabilities include integrations with multiple model providers and support for MCP-based tool calling.

Orkes also provides operational capabilities such as execution monitoring, analytics, access controls, audit logs, and governance features. Its enterprise platform can be deployed as a managed cloud service or in customer-controlled environments, including major cloud platforms and on-premises infrastructure.

Why Orkes Matters

Orkes addresses a practical challenge in enterprise AI: connecting AI-driven decisions with reliable execution across real business systems.

AI agents can reason and adapt, but business processes often require predictable handling of payments, approvals, service calls, data updates, and other operations. Orkes combines AI tasks with workflow controls that support persistence, retries, visibility, and human oversight.

Its relevance extends beyond AI agents to the broader orchestration of distributed applications and microservices. As organizations incorporate AI into existing software systems, orchestration platforms provide a way to coordinate AI components with conventional application logic and operational requirements.

Orkes is also connected to the development of Conductor, an open-source project originating at Netflix, giving developers an open-source foundation alongside enterprise deployment and management capabilities.

Orkes Products & Platforms

Orkes Conductor

Orkes Conductor is a unified orchestration platform for AI agents and workflows. It enables developers to coordinate AI reasoning, software services, APIs, and human tasks within distributed applications.

The platform supports visual workflow design, code-based development, durable execution, monitoring, and governance. Teams can combine AI agents with deterministic workflow steps to manage complex application processes.

Orkes Cloud

Orkes Cloud is the fully managed version of Orkes Conductor. It provides workflow orchestration without requiring customers to operate the underlying platform infrastructure themselves.

It supports enterprise application and AI workflow execution, with operational capabilities for reliability, security, monitoring, and scaling.

Conductor OSS

Conductor OSS is the open-source workflow orchestration engine that forms the foundation of Orkes Conductor. It allows developers to define and execute workflows across distributed services using a durable execution model.

The engine supports task scheduling, branching, loops, parallel execution, external workers, retries, and workflow state management. It can be self-hosted and used as the foundation for applications requiring orchestration capabilities.

Conductor SDK

Conductor SDK provides developer tools for building workflows and AI agents using supported programming languages. It allows teams to integrate application logic with the orchestration engine and build durable, framework-independent AI agents.

The SDK ecosystem supports languages including Java, Python, Go, JavaScript, TypeScript, and C#, enabling developers to work within their existing technology environments.

Orkes Applications

Orkes technology can be applied to enterprise process automation, distributed application orchestration, and AI-powered business operations.

AI agent workflows: Coordinating agents, model calls, tools, and structured execution steps.
Microservices orchestration: Managing dependencies and execution across distributed services and APIs.
Financial services: Supporting workflow patterns such as transaction processing, fraud-related decision flows, and payment operations.
Healthcare technology: Coordinating application processes that involve software services, data, and human approvals.
Enterprise operations: Automating multi-step business processes that require retries, monitoring, and exception handling.
Human-in-the-loop workflows: Incorporating manual reviews, approvals, and exception management into automated processes.

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Frequently Asked Questions

What is the relationship between Orkes and Netflix Conductor?

Conductor originated at Netflix as an open-source workflow orchestration engine. Orkes builds its enterprise orchestration platform on the Conductor foundation.

Is Orkes Conductor open source?

Conductor OSS is open source. Orkes Conductor is the enterprise platform built on that foundation, with additional enterprise capabilities and deployment options.

Can Orkes work with existing AI agent frameworks?

Yes. Orkes supports integrating agents built with frameworks such as LangGraph, OpenAI Agents SDK, Google ADK, and CrewAI, as well as custom agents.

Does Orkes require developers to use a specific programming language?

No. Conductor supports multiple programming languages through its SDK ecosystem and can coordinate external workers implemented in different languages.

Can Orkes workflows include human approvals?

Yes. Workflows can incorporate human tasks and approval steps, allowing people to review decisions, handle exceptions, or authorize actions within an automated process.

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