Questions teams ask before they put agents on an OS.

KanbanOS works with the AI coding agents your team already runs, including Claude Code, Grok Build, Hermes Agent, Muse Code and Omp, rather than replacing them. Ultrathink injects planning into each agent, so every request becomes a graph-of-thought brief before code is written. Agent Substrate, which is MCP and ACP native, gives every runtime the same memory, skills and ledger, so a brief written for one agent is understood by all of them. Agents then claim and move cards on the KanbanOS board, and work is dispatched across parallel lanes without two agents claiming the same task.

KanbanOS keeps humans in control by placing gates where mistakes are expensive. Before work starts, planning raises human-in-the-loop questions so ambiguity is settled up front. During delivery, every handoff in the 15-agent SDLC swarm is a signed, fail-closed gate: uncertain work stops instead of guessing. At the end, humans keep the merge gate and approve releases and anything else that cannot be undone. Because the board is the operator surface, people can see work, owners and progress, including every card an agent has claimed and moved.

It stops and escalates. Agent Swarm's gates fail closed, which means a missing or uncertain verdict halts that unit of work and routes it to a human with the brief, the claim history and the partial result attached. Nothing downstream proceeds on a guess. The card on the board shows the escalation, so operators can see at a glance which work is waiting on a person and why.

No. KanbanOS works alongside Linear and Notion rather than replacing them. Each request receives one Graph ID when it is planned, and that ID follows the work across the KanbanOS board, Linear and Notion, so status stays consistent wherever your team looks. Product and engineering leads keep their existing tracking and documentation habits while agents work from the same plan. On top of them, KanbanOS adds the agent layer: planning injected into coding agents, shared memory and skills across every runtime, and a gated delivery swarm, all on a board agents can actually move.

KanbanOS takes a request through four layers. Planning turns a plain ask into a graph-of-thought brief with clarifying questions and a Graph ID, and it fails open, so planning never blocks a run. Agent Substrate gives every agent the same context, skills and ledger. The 15-agent SDLC swarm then works the lifecycle from scoping to verification in parallel worktrees, with signed, fail-closed verdicts at each handoff. Finally, the ship loop opens a pull request and drives review until it passes, and a human approves the merge, with each stage visible as cards moving through dependency chains.

Through the Agent Substrate ledger. When an agent claims a task, the claim is written to the ledger outside any single terminal session, so every other runtime sees it immediately and parallel agents never double-book the same work. Dispatch and results are recorded in the same ledger, which makes every result attributable to the agent that produced it and gives operators an audit trail of who did what, in which lane and with what outcome.