Conductor OSS logo

Conductor OSS

Conductor OSS is the Netflix-founded, Orkes-stewarded open source workflow and agentic AI orchestration platform. It provides a durable, event-driven workflow engine for coordinating microservices, long-running tasks, human approvals, and LLM-powered agents across any language or cloud, with first class support for HTTP, gRPC, Kafka, AMQP, SQS, and MCP-based tool calling.

2 APIs 7 Features
Agentic AIDurable ExecutionEvent-DrivenMicroservicesNetflixOpen SourceOrchestrationWorkflow EngineWorkflows

APIs

Conductor OSS REST API

The Conductor OSS REST API is the canonical control plane for the workflow engine — registering and versioning workflow and task definitions, starting and querying workflow exec...

Conductor MCP Server

Conductor MCP is an official Model Context Protocol server for Orkes Conductor that exposes workflow execution, task management, and metadata operations as MCP tools so that LLM...

Features

Durable Workflow Execution

Workflow state is persisted at every step so executions survive worker restarts, server failover, and long human-in-the-loop waits.

Polyglot Workers

Tasks are executed by language-agnostic workers that poll the server, with official SDKs in Java, Python, Go, JavaScript / TypeScript, C#, Clojure, Ruby, and Rust.

System Tasks and Operators

Built-in HTTP, Kafka, JQ, wait, human approval, sub-workflow, fork, join, switch, do-while, and dynamic-fork operators compose workflows without writing code.

Agentic AI and LLM Orchestration

Native LLM tasks for 14+ providers, vector database integrations for RAG, MCP tool calling, and human-in-the-loop checkpoints make Conductor a runtime for agentic AI applications.

Event-Driven Triggers

Event handlers consume from Kafka, AMQP, SQS, NATS, and webhook sources to start workflows or complete tasks from external systems.

Horizontal Scalability

Stateless API servers and worker pools scale horizontally, with pluggable persistence (PostgreSQL, MySQL, Cassandra, Redis) and indexing (OpenSearch / Elasticsearch).

Operational Observability

Built-in metrics, structured logs, distributed tracing, and a Swagger UI on every server expose the workflow surface for operators.

Use Cases

Microservices Orchestration

Coordinate sagas, compensations, retries, and timeouts across distributed microservices without bespoke orchestration code.

AI Agent Orchestration

Run production-grade agentic workflows with reasoning loops, tool calling, MCP integration, RAG retrieval, and human approvals.

Payment and Order Processing

Reliable long-running flows for payments, fulfillment, KYC, and onboarding — the reference example workload shipped by Conductor.

Data and ML Pipelines

Schedule and orchestrate ETL, model training, and inference pipelines with durable retries and conditional branching.

Human-in-the-Loop Approvals

Pause workflows on human tasks, capture approvals via UI or API, and resume execution deterministically.

Event-Driven Integration

Bridge message brokers and SaaS webhooks into deterministic workflows across the enterprise.

Integrations

Apache Kafka

System task and event-handler integration for Kafka topics.

AMQP / RabbitMQ

Built-in AMQP system task and event source.

AWS SQS

Native SQS event queue and system task module.

NATS

NATS event queue integration for triggering workflows.

PostgreSQL / MySQL / Cassandra / Redis

Pluggable persistence backends for workflow and task state.

OpenSearch / Elasticsearch

Pluggable indexing backends powering search and history.

AWS S3 / Azure Blob

External payload storage for large workflow inputs and outputs.

Model Context Protocol (MCP)

Official MCP server exposes Conductor to AI agents as tools.

gRPC

gRPC API surface alongside the REST API for high-performance clients.

Solutions

Conductor OSS

Apache 2.0 open source workflow engine, self-hosted via Docker, Helm, or source build.

Orkes Developer Edition

Free hosted Conductor sandbox by Orkes with all enterprise features enabled for prototyping and learning.

Orkes Enterprise / Cloud

Fully managed Conductor on AWS, Azure, GCP, or on-prem with SOC2, RBAC, SSO, audit logs, and up to 99.99% availability SLA.

Resources

🔗
Website
Website
🔗
Documentation
Documentation
🚀
GettingStarted
GettingStarted
👥
GitHub
GitHub
👥
GitHubOrganization
GitHubOrganization
👥
GitHubRepository
GitHubRepository
📰
Blog
Blog
🔗
Slack
Slack
👥
YouTube
YouTube
🔗
License
License
💰
Pricing
Pricing
🌐
Portal
Portal
📝
SignUp
SignUp
🎓
Training
Training
📦
SDK
SDK
📦
SDK
SDK
📦
SDK
SDK
📦
SDK
SDK
📦
SDK
SDK
📦
SDK
SDK
📦
SDK
SDK
📦
SDK
SDK
🔗
CLI
CLI

Sources

Raw ↑
aid: conductor-oss
name: Conductor OSS
description: >-
  Conductor OSS is the Netflix-founded, Orkes-stewarded open source workflow and agentic AI orchestration platform. It
  provides a durable, event-driven workflow engine for coordinating microservices, long-running tasks, human approvals,
  and LLM-powered agents across any language or cloud, with first class support for HTTP, gRPC, Kafka, AMQP, SQS, and
  MCP-based tool calling.
type: Index
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
  - Agentic AI
  - Durable Execution
  - Event-Driven
  - Microservices
  - Netflix
  - Open Source
  - Orchestration
  - Workflow Engine
  - Workflows
url: https://raw.githubusercontent.com/api-evangelist/conductor-oss/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.19'
apis:
  - aid: conductor-oss:conductor-oss-rest-api
    name: Conductor OSS REST API
    description: >-
      The Conductor OSS REST API is the canonical control plane for the workflow engine — registering and versioning
      workflow and task definitions, starting and querying workflow executions, polling and updating tasks from workers,
      and wiring external event sources into workflows. It is served by the Conductor Server (Java / Spring Boot) and is
      the same surface used by every official Conductor SDK and the Orkes-hosted Conductor Cloud.
    humanURL: https://docs.conductor-oss.org/
    baseURL: http://localhost:8080/api
    tags:
      - Agentic AI
      - Durable Execution
      - Event-Driven
      - Microservices
      - Open Source
      - Orchestration
      - Workflow Engine
      - Workflows
    properties:
      - type: Documentation
        url: https://docs.conductor-oss.org/
      - type: APIReference
        url: https://docs.conductor-oss.org/reference
      - type: Quickstart
        url: https://docs.conductor-oss.org/getting-started
      - type: Authentication
        url: https://docs.conductor-oss.org/devguide/running/configuration/security
      - type: OpenAPI
        url: >-
          https://raw.githubusercontent.com/api-evangelist/conductor-oss/refs/heads/main/openapi/conductor-oss-openapi.yml
  - aid: conductor-oss:conductor-mcp
    name: Conductor MCP Server
    description: >-
      Conductor MCP is an official Model Context Protocol server for Orkes Conductor that exposes workflow execution,
      task management, and metadata operations as MCP tools so that LLMs and AI agents can orchestrate Conductor
      workflows directly.
    humanURL: https://github.com/conductor-oss/conductor-mcp
    tags:
      - Agentic AI
      - MCP
      - Open Source
      - Orchestration
      - Tools
    properties:
      - type: GitHubRepository
        url: https://github.com/conductor-oss/conductor-mcp
      - type: Documentation
        url: https://docs.conductor-oss.org/ai-cookbook
common:
  - type: Website
    url: https://conductor-oss.org/
  - type: Documentation
    url: https://docs.conductor-oss.org/
  - type: GettingStarted
    url: https://docs.conductor-oss.org/getting-started
  - type: GitHub
    url: https://github.com/conductor-oss
  - type: GitHubOrganization
    url: https://github.com/conductor-oss
  - type: GitHubRepository
    url: https://github.com/conductor-oss/conductor
  - type: Blog
    url: https://orkes.io/blog/
  - type: Slack
    url: https://join.slack.com/t/orkes-conductor/shared_invite/zt-3dpcskdyd-W895bJDm8psAV7viYG3jFA
  - type: YouTube
    url: https://www.youtube.com/@orkesio
  - type: License
    url: https://github.com/conductor-oss/conductor/blob/main/LICENSE
  - type: Pricing
    url: https://orkes.io/pricing
  - type: Portal
    url: https://cloud.orkes.io/
  - type: SignUp
    url: https://cloud.orkes.io/signup
  - type: Training
    url: https://orkes.io/academy/
  - type: SDK
    url: https://github.com/conductor-oss/java-sdk
  - type: SDK
    url: https://github.com/conductor-oss/python-sdk
  - type: SDK
    url: https://github.com/conductor-oss/go-sdk
  - type: SDK
    url: https://github.com/conductor-oss/javascript-sdk
  - type: SDK
    url: https://github.com/conductor-oss/csharp-sdk
  - type: SDK
    url: https://github.com/conductor-oss/clojure-sdk
  - type: SDK
    url: https://github.com/conductor-oss/rust-sdk
  - type: SDK
    url: https://github.com/conductor-oss/ruby-sdk
  - type: CLI
    url: https://github.com/conductor-oss/conductor-cli
  - type: Features
    data:
      - name: Durable Workflow Execution
        description: >-
          Workflow state is persisted at every step so executions survive worker restarts, server failover, and long
          human-in-the-loop waits.
      - name: Polyglot Workers
        description: >-
          Tasks are executed by language-agnostic workers that poll the server, with official SDKs in Java, Python, Go,
          JavaScript / TypeScript, C#, Clojure, Ruby, and Rust.
      - name: System Tasks and Operators
        description: >-
          Built-in HTTP, Kafka, JQ, wait, human approval, sub-workflow, fork, join, switch, do-while, and dynamic-fork
          operators compose workflows without writing code.
      - name: Agentic AI and LLM Orchestration
        description: >-
          Native LLM tasks for 14+ providers, vector database integrations for RAG, MCP tool calling, and
          human-in-the-loop checkpoints make Conductor a runtime for agentic AI applications.
      - name: Event-Driven Triggers
        description: >-
          Event handlers consume from Kafka, AMQP, SQS, NATS, and webhook sources to start workflows or complete tasks
          from external systems.
      - name: Horizontal Scalability
        description: >-
          Stateless API servers and worker pools scale horizontally, with pluggable persistence (PostgreSQL, MySQL,
          Cassandra, Redis) and indexing (OpenSearch / Elasticsearch).
      - name: Operational Observability
        description: >-
          Built-in metrics, structured logs, distributed tracing, and a Swagger UI on every server expose the workflow
          surface for operators.
  - type: UseCases
    data:
      - name: Microservices Orchestration
        description: >-
          Coordinate sagas, compensations, retries, and timeouts across distributed microservices without bespoke
          orchestration code.
      - name: AI Agent Orchestration
        description: >-
          Run production-grade agentic workflows with reasoning loops, tool calling, MCP integration, RAG retrieval, and
          human approvals.
      - name: Payment and Order Processing
        description: >-
          Reliable long-running flows for payments, fulfillment, KYC, and onboarding — the reference example workload
          shipped by Conductor.
      - name: Data and ML Pipelines
        description: >-
          Schedule and orchestrate ETL, model training, and inference pipelines with durable retries and conditional
          branching.
      - name: Human-in-the-Loop Approvals
        description: Pause workflows on human tasks, capture approvals via UI or API, and resume execution deterministically.
      - name: Event-Driven Integration
        description: Bridge message brokers and SaaS webhooks into deterministic workflows across the enterprise.
  - type: Integrations
    data:
      - name: Apache Kafka
        description: System task and event-handler integration for Kafka topics.
      - name: AMQP / RabbitMQ
        description: Built-in AMQP system task and event source.
      - name: AWS SQS
        description: Native SQS event queue and system task module.
      - name: NATS
        description: NATS event queue integration for triggering workflows.
      - name: PostgreSQL / MySQL / Cassandra / Redis
        description: Pluggable persistence backends for workflow and task state.
      - name: OpenSearch / Elasticsearch
        description: Pluggable indexing backends powering search and history.
      - name: AWS S3 / Azure Blob
        description: External payload storage for large workflow inputs and outputs.
      - name: Model Context Protocol (MCP)
        description: Official MCP server exposes Conductor to AI agents as tools.
      - name: gRPC
        description: gRPC API surface alongside the REST API for high-performance clients.
  - type: Solutions
    data:
      - name: Conductor OSS
        description: Apache 2.0 open source workflow engine, self-hosted via Docker, Helm, or source build.
      - name: Orkes Developer Edition
        description: Free hosted Conductor sandbox by Orkes with all enterprise features enabled for prototyping and learning.
      - name: Orkes Enterprise / Cloud
        description: >-
          Fully managed Conductor on AWS, Azure, GCP, or on-prem with SOC2, RBAC, SSO, audit logs, and up to 99.99%
          availability SLA.
maintainers:
  - FN: Kin Lane
    email: kin@apievangelist.com