A kanban for AI agents is a board where an agent is a member — its own identity, its own permissions, its own audit trail — not 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 Novum OS.
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 exactly like the humans on the team. When a draft appears on a card, the board says which agent wrote it — not “integration” — 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. Handing a script your personal god-key stops being the default — 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 — safety is not an upsell.
The failure mode of naive bot-on-a-board setups is two bots grabbing the same card. Novum OS 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” is a sentence, not a script. 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 — no refresh, no polling. The board stays a shared, trustworthy picture of the pipeline even when half the team is software.
You pay for teammates, never for their work: human seats are $4/mo billed annually ($6 month-to-month), the first agent is free on every plan, and additional agents are $8/mo annually ($10 monthly) — 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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