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.
Conductor OSS publishes 5 APIs on the APIs.io network, including Events API, Metadata API, Tasks API, and 2 more. Tagged areas include AI Agents, Durable Execution, Event-Driven, Microservices, and Netflix.
Conductor OSS’s developer surface includes documentation, getting-started guide, GitHub presence, engineering blog, YouTube channel, pricing, developer portal, and 20 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
Horizontal (data, software, accessibility, platform) regime, so
Regulatory Posture carries 15 points of the composite.
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Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it
carries 10 points of the composite. It is scored from the published contracts
themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already
holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in
front of it, and the first time that check is skipped a duplicate record is created.
Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet,
not penalised by it.
The six quality facets above are damped to 75 points between them,
because the conditional facet above carries the other
25. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 75% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
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...
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.
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