conductor vs leather
conductor: Conductor is an open-source, scalable microservices orchestration engine originally built at Netflix. It empowers developers to define and manage resilient, distributed, and asynchronous workflows across various services and systems.; leather: Leather provides a local agent infrastructure in a single Go binary, enabling declarative agents to run scheduled jobs, webhook-driven workflows, and tool calling without a Python stack or external dependencies. It includes features like multi-stage agent routing, queues, and developer tools for comprehensive LLM-powered workflow automation.
TL;DR
- You want an Apache-2.0 durable workflow engine where workflows are defined as JSON graphs and workers can be written in any language.
- You want built-in LLM task types, MCP tool calling, human approval steps, and vector workflows on top of a microservice orchestrator.
- You prefer writing workflows purely as code rather than JSON graph definitions; Temporal or AutoKitteh fit better.
- You want a lightweight embedded rule engine inside a single Go binary with zero external middleware; RuleGo is designed for that.
Scheduled Automation: Run agents on a predefined schedule for routine tasks.
Side-by-Side Comparison
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