🚀 Plane v2.4.0 — Plane AI now available for Self-Hosted

We’ve shipped Plane v2.4.0, and this release brings one of the most requested capabilities to self-hosted deployments:

Plane AI is now available for self-hosted instances.

This means teams running Plane on their own infrastructure can now use AI inside their workspace — with support for OpenAI, Claude, or even local models depending on how you configure your deployment.

Alongside Plane AI, this release also introduces several improvements across work management and migrations.

Highlights

:robot: Plane AI for self-hosted

  • Run AI inside your own Plane instance

  • Use OpenAI, Claude, or compatible/local LLMs

  • Bring AI workflows directly into project management

:bar_chart: Workspace-level Kanban & Calendar views

  • Visualize work across projects in new layouts

  • Switch between list, board, and calendar for broader planning

:package: Better epic visibility

  • Group work items by Epics in list and board views

  • Understand how tasks roll up into larger deliverables

:bullseye: Initiative rich filters

  • Filter initiatives by assignee, status, priority, and more

  • Quickly slice large projects into meaningful views

:inbox_tray: Improved intake workflow

  • Intake submissions now have a full detail view for easier triage

:high_voltage: Faster work creation

  • Create work items instantly via a dedicated URL

:counterclockwise_arrows_button: Smarter Jira imports

  • Apply JQL filters during Jira import to migrate exactly the items you want

Full release notes

You can read the full changelog here:

:backhand_index_pointing_right: https://plane.so/changelog/release-v-2-4-0-plane-ai-now-available


We’d love to hear from the community:

  • Are you planning to run Plane AI in a self-hosted environment?

  • Which LLMs are you connecting (OpenAI, Claude, local models)?

  • What workflows would you like AI to automate inside Plane?

Share your thoughts, questions, or feedback below :backhand_index_pointing_down:

1 Like

Considering deployment, running Ollama.

I have both local and cloud models available in Ollama and am curious if anyone has been using any particular model with great success.

Seems like I caught wind of Plane at just the right time, if this only became possible in the last 30 days!