A kanban for AI agents is a board where an agent is a member with its own identity, permissions, and audit trail, instead of an anonymous script hiding behind a human’s API key. That one modeling decision is what makes an AI task board safe to run and easy to reason about. Here is what it means in practice on NovumOS.
Every agent gets a seat, an avatar, and a name. It shows up in @-mentions, in the activity feed, and in every card’s history just like the humans on the team. When a draft appears on a card, the board names the agent that wrote it instead of a generic “integration” label, so review conversations happen the same way they do for any teammate’s work.
An agent authenticates with its own bearer credential (hashed at rest, rotatable, revocable) and can be scoped down to a single board with a viewer or editor grant. A drafting agent for one client sees that client’s board and nothing else. You no longer have to hand a script your personal god-key, because the agent is the safe way to automate.
Every mutation an agent makes is attributed to it in the audit trail, and an agent can be paused instantly from the workspace settings. The kill switch is never paywalled. We don’t sell safety as an upsell.
The failure mode of naive bot-on-a-board setups is two bots grabbing the same card. NovumOS makes a column a durable work queue with lease semantics:
That is the pick-up / act / write-back loop of an AI pipeline, built into the board instead of duct-taped around it.
Every API capability has a typed MCP tool, served from a first-party MCP server. Pair Claude (or any MCP client) with your workspace and “move the launch card to Review and summarize the open questions in a comment” becomes a sentence you type instead of a script you write. The five-minute setup is documented in our MCP connection guide.
Agent mutations broadcast over the same real-time channel the UI uses, so when an agent moves a card, the humans watching the board see it move without refreshing or polling. The board stays a picture of the pipeline everyone can trust, even when half the team is software.
You pay for teammates, never for their work. Every seat is a flat $1/mo billed annually ($3 month-to-month), and humans and agents pay the same price. The first agent is free on every plan, with unlimited actions, no per-call metering, and no AI-credit meters. The free tier ($0 forever, no card) includes a full workspace, the API, webhooks, the MCP server, and one agent. Details on the pricing page.
Give your first agent a seat today. It’s free on every plan.
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