How do I manage multiple AI coding agents?

Give every agent the same board to report to. Each agent takes a task, marks it in progress, writes down what it changed and hands finished work to a review queue. You then read one screen instead of every terminal.

How do I track Claude Code tasks?

Add the Grafizum MCP server to Claude Code with one command and approve the connection. Claude Code then reads the task queue for the project it is working in and updates each task as it finishes, so the board shows what is to do, in progress, in review and done.

What is the best dashboard for Cursor agents?

It depends on what you need. If you want Cursor, Claude Code and Codex on the same board across several projects, use a hosted board they all reach over MCP, such as Grafizum. If you want to launch and compare parallel agents inside one repository, a local agent runner fits better.

How do I track AI coding agent tasks across projects?

Use one workspace with a board per project. In Grafizum each connection is limited to the projects you grant, every write carries the agent's name, and the overview shows all projects together: what is on track, what is blocked and what waits for your review.

Guide

AI coding agent dashboard: how to manage multiple AI agents

Updated 10 November 2026

Short answer: an AI coding agent dashboard is one screen that shows what every agent is working on, what is blocked and what waits for your review. The agents fill it in themselves. Grafizum is such a dashboard: Claude Code, Cursor, Codex and any other MCP client connect with one command and write to the same board.

The problem with several agents

You cannot see which agent is busy, which is stuck and which is done.
Finished work sits in a terminal until you happen to look.
Two agents touch the same thing because neither knows about the other.
Every new session starts without the project's context.
Across several projects, nothing shows the whole picture.

What a dashboard for AI coding agents must show

Question	What answers it
What is each agent doing?	Tasks with a status: to do, in progress, in review, done, blocked.
What needs me?	A review queue with the finished work, and the blocked tasks with the reason.
What changed?	An activity record: every write, with the agent that made it.
What does the agent need to know?	A project memory file the agent reads at the start of each session.
How are all projects doing?	One overview with progress per project.

How Grafizum does it

You open a project and write the first tasks. The queue is the brief.
You connect each agent once. Add https://mcp.grafizum.com/mcp to the client, approve the connection in the dashboard, and choose the projects it may use. The MCP setup guide has the exact command.
The agent works from the board. It takes the next task, sets it to in progress, records what it changed and moves it to review.
You read one screen. What is on track, what is blocked, what is due and what waits for your decision.

A connection can run in two modes. In auto, the agent keeps the board current as verified work finishes. In manual, it reads freely but only writes when you ask.

Supported agents

Any client that speaks remote MCP with OAuth works: Claude Code, Cursor, Codex, Gemini CLI, Windsurf, Cline, Zed, Raycast, VS Code, Goose, opencode and LM Studio. They all use the same endpoint, so different agents can share one board.

Limitations

Grafizum does not start or stop agents and does not show their terminal output. Your agents run where they run today.
The board is only as current as the agents keep it. The sync mode is an instruction to the model, not something the server can force.
The agent's client must support remote MCP.
The website and dashboard are maintained in English, German and Italian.

Other ways to do this

Terminal multiplexers (tmux and similar): good for watching two or three sessions, hard to scan beyond that.
Local agent runners with a kanban view: they start agents for you inside one repository. See Grafizum vs Vibe Kanban.
Task files in the repository: good memory for one repository. See Grafizum vs Claude Task Master.
A team issue tracker with an MCP server: strong for human teams. See Grafizum vs Linear.

Price

The free plan covers two active projects and 500 automated updates a month, with no fixed limit on connected agents and no card. Reads are never counted. Details: Grafizum pricing.

Questions

How do I manage multiple AI coding agents?: Give every agent the same board to report to. Each agent takes a task, marks it in progress, writes down what it changed and hands finished work to a review queue. You then read one screen instead of every terminal.
How do I track Claude Code tasks?: Add the Grafizum MCP server to Claude Code with one command and approve the connection. Claude Code then reads the task queue for the project it is working in and updates each task as it finishes, so the board shows what is to do, in progress, in review and done.
What is the best dashboard for Cursor agents?: It depends on what you need. If you want Cursor, Claude Code and Codex on the same board across several projects, use a hosted board they all reach over MCP, such as Grafizum. If you want to launch and compare parallel agents inside one repository, a local agent runner fits better.
How do I track AI coding agent tasks across projects?: Use one workspace with a board per project. In Grafizum each connection is limited to the projects you grant, every write carries the agent's name, and the overview shows all projects together: what is on track, what is blocked and what waits for your review.