> For the complete documentation index, see [llms.txt](https://releases.pipekit.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://releases.pipekit.io/v6/v6.67.0.md).

# v6.67.0

### 2026-06-23

### What's Changed

#### Breaking Changes 🛠

* feat(pipekit-agent)!: deploy via operator-managed Installation CR

#### New Features 🎉

* 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

#### Patches 🩹

* 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

#### Other Changes

* chore: Refactor renovate.json for Go module updates

#### Bug Fixes and Dependency Updates 🐞

***

### About Pipekit

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](https://pipekit.io/signup?utm_campaign=release-notes).