v6.67.0
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feat(pipekit-agent)!: deploy via operator-managed Installation CR
feat(mcp): cap import_workflows errors and add namespace/labelSelector/dryRun/maxPages
feat(mcp): fail server startup when not logged in
feat: workflow tab — consolidated logs, logical-stage collapse, and failure-aware mount
fix(users): sync run StartedAt with workflow's actual start time
docs: Restructure IA skeleton
docs: style-guide pass on moved pages
docs: Fill in documentation
fix: keep workflow logs streaming on long-running runs
docs: Restore use cases section
docs: Add IA guide
fix: workflow of workflows UI slowness - Also improve UI itself
fix: duplicate logs on free trials
chore: Refactor renovate.json for Go module updates
Pipekit is the control plane for Argo Workflows. Platform teams use Pipekit to manage data & CI pipelines at scale, while giving developers self-serve access to Argo. Pipekit's unified logging view, Workflow Metrics dashboards, enterprise-grade RBAC and multi-cluster management capabilities lower maintenance costs for platform teams while delivering a superior devex for Argo users. Sign up for a 30-day free trial at pipekit.io/signup.
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