Heym's Agentic Kanban Board Aims to Bring Transparency to Multi-Agent AI Systems

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A platform called Heym is attempting to address a core challenge in multi-agent AI systems: the lack of visibility into what each agent does, why processes stall, and where outputs go. Heym introduces an 'Agentic Kanban Board' where moving a card between columns triggers automated AI workflow chains rather than simply updating a status. Each card carries accumulated context — including original requests, human feedback, file attachments, and prior workflow outputs — so agents at every stage share a common memory without manual prompt engineering. Workflows are arranged on a visual canvas, making control flow, tool usage, approvals, and execution states inspectable by both technical and non-technical team members. The system uses colour-coded card states to communicate whether a workflow is running, awaiting human input, completed, or failed.

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