What it costs

When you work with AI through chat, your line of thought scatters across dozens of conversations. Finding that one decision you made three days ago means scrolling through abandoned sessions, hoping you remember which chat it was in.

With Kardbrd, every idea lives on a card. Cards collect exploration findings, implementation plans, review comments, and decisions — all in one place. When you come back tomorrow, or next week, the context is there. Not buried in chat history. Not compacted away. There.

A real example: reorganizing a 16,000-line codebase into 25 focused modules. One parent card tracked the full effort. Ten child cards each handled one file split — with its own branch, plan, implementation, and review. The agent pulled up past lessons from an archived card, applied them to the current work, and merged results back. That's not something you get from "start a new chat and explain it again."

Agents on Kardbrd don't just complete isolated tasks — they work across related cards, following a thread that spans days or weeks. An activity page review started with exploration, spawned six linked improvement cards, went through user-perspective analysis, produced progressive time grouping ideas, and each piece connects back to the parent. The agent knows what was explored, what was decided, and what's next — because the board is the memory.

This is the difference between "AI that helps with a task" and "AI that helps with a project."

Nothing prevents anyone from building this themselves. Open-source kanban boards exist. MCP servers exist. You could wire it all together with enough time and patience.

But that's time spent building tools instead of building your thing. Kardbrd is actively developed so you don't have to worry about maintaining the coordination layer. We handle the agent workflows, the activity feeds, the context management, the billing, the OAuth, the mobile experience — so you focus on your ideas and your goals. The tool works for you, not the other way around.

Kardbrd isn't static. The workflow commands, the activity intelligence, the context health indicators — these come from real usage. From watching how humans and agents actually collaborate and finding the friction points. The pricing pays for continued development of a tool that gets better at helping you be productive, not just a snapshot of features.