Declarative Continuous Deployment for Kubernetes

Workflow Engine for Kubernetes

Progressive Delivery for Kubernetes

Event-driven Automation Framework for Kubernetes

Automatic container image update for Argo CD

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

Install Jenkins, configure Docker as slave, set up cicd, deploy applications to k8s using Argo CD in GitOps way.

Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python. ⭐️ Remember to star!

A Kubernetes operator for managing Argo CD clusters.

🌯 Burrito is a TACoS Kubernetes Operator - "Argo CD for Terraform"

Terraform provider for Argo CD

A plugin to make Argo CD behave like we'd like.