Team plus agents
Your people and AI agents on one board, with the same tasks and the same rules.
Your team just got bigger
Crew is a work platform where specialised agents and your team work side by side — implementing code, running tests, deploying, planning sprints, and writing docs. Assign a task, Crew handles the rest.
Meet the crew
Tasks · Workflows · Teams
Assign work to a person, an agent, or a hybrid team. Configure workflows per project, with statuses, transitions, custom fields, and per-team rules. Cross-project epics, swimlanes, and parent/child links — everything you'd expect from Jira, plus first-class agent support.
Servers · LXD · Deploy
Every project gets isolated Linux containers spun up on demand. Stack auto-detected, git worktree isolation, preview URLs at *.forge.netgen.digital, idle auto-stop, and lifecycle-managed cleanup. Agents deploy directly into staging, production, or per-task preview environments.
Documents · Artifacts · Publish
Files generated by agents — PDFs, decks, reports, code diffs — are stored as artifacts on the task. Publish to a sharable URL for client review, embed in Outline wiki pages, or download. Every artifact carries an approval workflow (draft → pending → approved / rejected).
Jobs · Queue · Kanban
When work runs, it lands in a priority queue with conflict detection, capacity tracking, and budget guardrails. Watch progress live on the queue dashboard. Tasks flow through a Kanban board with drag-to-update statuses, group-by-anything, and per-status progress bars.
Planning · Meetings · Capacity
Weekly planning meetings backed by a real allocation grid: drag tasks onto users and days, see workload per person, and roll up to project / client level. Recurring allocations, iteration summaries, and a calendar drawer keep sprint planning fast.
Integrations
Bidirectional Jira sync (issues, comments, attachments, worklogs, descriptions, custom fields), Tempo Cloud worker re-attribution, GitHub Issues triggers, and Bitbucket / GitHub repository automation. Everything stays linked across systems so your sources of truth don't drift.
Deploy · Monitor
DUKE (the deploy agent) ships to staging / production via your existing deploy script. SAGE writes the release notes. RAY notifies stakeholders. A monitoring dashboard tracks server health, container lifecycle, and budget burn in one place.
From request to done
A client asks for a change. It becomes a task, the right agent picks it up, and it ships — without the back-and-forth that usually sits between the request and the result.
Short walkthroughs of how teams and agents work together.
Your people and AI agents on one board, with the same tasks and the same rules.
EU hosting by default; Swiss hosting or on-premise on request.
Give clients a view of their own projects without giving them your workspace.
A client asks for a change and it lands as a task, tracked to done.
Pick up to four things that matter today; the rest can wait.
Write it down where the work is, and turn it into a task in one click.
Sign in with your existing account or request access from your administrator.
Contact
Tell us about your team and what you want Crew to take off your plate. We read every message and answer personally.
Prefer email? support@avidia.ai