Skip to content

Latest commit

 

History

2 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Crewplane Lab

A collection of reproducible demos for Crewplane, a workflow runner for coordinating coding-agent CLIs.

Each lab is self-contained: it includes the workflow definition, the generated responses, and the execution record needed to inspect what ran. Use the labs to explore orchestration patterns, compare provider configurations, or adapt a working workflow for your own experiments.

Labs

Lab What it demonstrates
LeetCode 3348: eight-agent model and reasoning comparison Runs the same algorithm problem across eight Codex model/reasoning configurations in parallel, then evaluates correctness, runtime, and token usage in a comparison stage.

The included results are snapshots of individual runs, not general-purpose model benchmarks. See each lab's README for its methodology, artifacts, and caveats.

Find these examples useful? ⭐ Star Crewplane on GitHub to support the project.

Explore a lab

You do not need Crewplane or a provider account to inspect the recorded runs. Inside each lab, start with:

  • README.md for the experiment overview and direct artifact links
  • .crewplane/workflows/ for the Markdown workflow definition
  • .crewplane/execution-results/ for consolidated node outputs
  • .crewplane/execution-stages/ for manifests, telemetry, provider logs, and per-agent responses

Reproduce a lab

Follow the Crewplane README to install Crewplane and set up a project. Then copy the workflow from the lab you want to reproduce into your project's .crewplane/workflows/ directory, update .crewplane/config.yml for the required providers and models, and run the workflow.

Provider and model availability may differ by account. Results, latency, caching, and token usage will also vary between runs.

License

This repository is licensed under the MIT License.

About

Reproducible Crewplane experiments for multi-agent coding workflows, with runnable definitions, model comparisons, and inspectable execution artifacts.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors