Conductor Now Runs Agents Alongside Your Workflows, on the Same Durable Engine

Conductor positions its platform as a unified durable execution engine for both AI agents and workflows, allowing agents to operate as workflow components with persistent memory, retries, approval handling, exact-once execution, and long-term execution histories. It argues that production agentic systems require deterministic controls around nondeterministic models, with workflows predefining allowed tools, branches, validation, and actions while models remain responsible for judgment within those constraints. The platform supports agents built with frameworks including LangChain, LangGraph, OpenAI, Vercel, and Google ADK, as well as agents written through Conductor SDKs, and enables tools to include APIs, functions, MCP tools, human approvals, other agents, or complete workflows. Conductor emphasizes determinism before execution, durability during execution through engine-managed state that survives failures and delays, and explainability afterward through unified records of prompts, model responses, tool calls, inputs, outputs, and approvals. Its approach treats agents and workflows as interchangeable parts of a single system, enabling workflows to invoke agents for judgment-based tasks and agents to invoke workflows for reliable, repeatable actions.

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