The Experiment Orchestration System (EOS)

EOS is a software framework and runtime for laboratory automation, designed to serve as the foundation for one or more automated or self-driving labs (SDLs).

Core

• Plugin system for defining labs, devices, tasks, experiments, and optimizers

• Package system for sharing and reusing automation code

• Validation of experiments, parameters, and configurations at load time and runtime

Execution & Scheduling

• Central orchestrator that coordinates devices and experiments across multiple computers

• Intelligent task scheduling with dynamic device and resource allocation

• Scheduling simulation for testing strategies offline without hardware

Optimization

• Built-in Bayesian optimization for experiment campaigns, with single and multi-objective support

• Hybrid AI-Bayesian optimizer that combines Bayesian optimization with LLM reasoning

Interfaces

• Web UI with visual experiment editor, real-time monitoring, device inspector, and file browser

• REST API with OpenAPI documentation

• MCP server for connecting AI assistants

• SiLA 2 instrument protocol integration

User Guide

• User Guide
  • Installation
  • Infrastructure Setup
  • Multi-Computer Lab Setup
  • Packages
  • Devices
  • Resources
  • Laboratories
  • Tasks
  • References
  • Experiments
  • Campaigns
  • Optimizers
  • Beacon Optimizer
  • Scheduling
  • Web UI
  • REST API
  • MCP Server
  • SiLA 2 Integration
  • Jinja2 Templating
  • Color Mixing