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This article provides a comparative analysis of self-hosted inference orchestrators for AI model deployment as of September 2026, covering features like multi-machine support, cache-aware routing, and platform compatibility.
Praxis is an open-source CLI that creates AI development workflows with personas, skills, and orchestrators. It generates configuration files for tools like Claude Code and Cursor, aiming to start development from product goals rather than directly coding.
Data engineering has spent years building orchestrators like Airflow and Dagster, and now the same pattern is emerging for AI agents with projects like Agor, Agent Teams, and Omnigent from major companies.
A technical blog post detailing the author's journey building an agentic micro-orchestrator for an open-source project, exploring patterns, market gaps, and the event sourcing data architecture for complex agentic workflows.