AgentBoard – Kanban for managing AI agent workflows

Summary: AgentBoard is an acceptance-driven development board that structures AI agent tasks through a pipeline while keeping humans in control. It enables task creation, automated planning by AI agents, human review, implementation with decision logs, and final acceptance, ensuring traceability and context continuity across tasks.

What it does

AgentBoard guides AI agents through a sequence of planning, approval, implementation, and acceptance stages, with humans reviewing and providing feedback at each step. Decision logs document agent choices and propagate context to dependent tasks.

Who it's for

It is designed for developers and teams who need to coordinate AI-generated code and maintain audit trails during multi-task projects.

Why it matters

It addresses AI agents’ unreliability by providing structured guardrails and preserving human oversight to ensure coherent, traceable outputs.