Agent Board FAQs

Question 1

Does Agent Board provide insights into agent performance?

Accepted Answer

Yes, Agent Board includes features like board stats, offering per-agent and global statistics such as completion rates, average task duration, and detection of stuck tasks, providing valuable insights into your AI team's performance.

Question 2

What is Agent Board and what problem does it solve?

Accepted Answer

Agent Board is a dedicated task management and orchestration system for AI agent teams. It resolves the chaos of uncoordinated agents by providing structured workflows, enforcing dependencies, and automating tasks to prevent duplication and missed failures.

Question 3

What are the core features of Agent Board for managing AI tasks?

Accepted Answer

Agent Board offers a Kanban board with 6 columns, DAG task dependencies with cycle detection, automated task retries, and task chaining to build pipelines without manual code. It also includes an audit trail and an MCP server.

Question 4

How does Agent Board integrate with AI agents like OpenClaw or Claude?

Accepted Answer

Agent Board is designed as an orchestration layer for OpenClaw, Claude, and other LLM-based agents. Agents can pick up work via heartbeat polling, receive notifications via webhooks, and interact with the board using its native Model Context Protocol (MCP) server.

Question 5

What is task chaining and DAG dependencies in Agent Board?

Accepted Answer

Task chaining allows you to define a 'nextTask' that automatically gets created and assigned when a preceding task completes, building seamless pipelines. DAG (Directed Acyclic Graph) dependencies ensure tasks execute in the correct sequence, blocking follow-up tasks until their prerequisites are met.

Agent Board

Agent Board

About

Key Features

Use Cases

About

Key Features

Use Cases