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AgentMon Live Gives Claude Code Users a Dashboard for Their AI Agents

Codenotary released AgentMon Live on November 10, a free open-source dashboard that shows what your Claude Code agents are doing, which files they touch, and whether their work checks out.

AgentMon Live Gives Claude Code Users a Dashboard for Their AI Agents
Source: Markus Spiske via Wikimedia Commons (CC0)

What AgentMon Live Shows You

Codenotary released AgentMon Live on November 10, a free open-source tool that gives developers a live dashboard for their Claude Code agents. It integrates directly with Claude Code and shows agent activity, tool use, file changes, and verification results as they happen. Instead of watching an agent work through a terminal scrollback, you get a dashboard that answers the questions that matter: what is the agent doing right now, which files did it touch, and did its work pass verification.

The tool is available immediately under the Apache 2.0 license, which means the source code is open for inspection, modification, and contribution. Codenotary framed the release as a contribution to the agentic development community, and that framing is accurate. The problems AgentMon solves are problems every developer using coding agents has run into, and the company is betting that an open tool gets adopted faster than a closed one.

The Problem It Is Trying to Solve

Coding agents have a visibility problem. You hand an agent a task, it runs for minutes or hours, and you are left guessing what it did. The terminal shows a stream of tool calls and file edits, but reconstructing the story from that stream takes effort, and most developers do not bother until something breaks. Then they are digging through logs trying to figure out which change caused the failure.

AgentMon Live is built for that gap. A live view of tool use tells you which commands the agent ran. A file-change view tells you what it modified. Verification results tell you whether the work holds up. None of this is exotic technology. It is the same observability thinking that DevOps teams applied to servers years ago, now applied to agents. The insight is that an agent is a system worth monitoring, not a black box worth trusting.

The timing is good, because agents are getting more autonomous. Claude Code's 2.1.319 release on November 6 moves MCP tool calls to the background when the server runs them as tasks, which means agents can now do long-running work without blocking the session. That is powerful, and it makes the visibility problem worse. An agent doing background work is an agent you cannot see at all, unless you have a dashboard watching it.

Open Source, and Why That Matters Here

Releasing AgentMon Live as open source is a deliberate choice, and it matters more for this kind of tool than for most. A monitoring tool sees everything your agents do, including your code, your file paths, and your tool usage. Asking developers to trust a closed-source dashboard with that level of access is a hard sell. Open source lets anyone read the code and confirm what it collects and where it sends it.

It also fits the week it launched in. The developer tools landscape is moving toward openness and interoperability at speed. GitHub Copilot landed in Xcode's coding assistant and JetBrains Air in early November, putting the same assistant inside other vendors' tools instead of keeping it locked in one editor. GitHub Agentic Workflows hit general availability, letting developers describe a job in Markdown and hand it to an agent. DeepSeek shipped Harness 0.2.2, an open-source agent harness, on November 3. The direction is clear: the agent stack is becoming composable, and the tools that win are the ones that work with everything.

Where It Fits in a Busy Week for Dev Tools

AgentMon Live is a small tool solving a specific problem, and that is exactly its strength. It does not try to be a new agent framework or a new model. It watches the agents you already use and tells you what they did. For a solo developer, that means catching a bad edit before it ships. For a team, it means having a record of what every agent changed, which is the kind of audit trail that becomes essential the moment agents start touching production code.

The deeper point is about trust. The DeepSeek Super-Agent announcement promised agents that fix bugs before you ask, and that vision only works if developers believe the agent did the right thing. Verification results in a dashboard are a small step toward that trust, but they are a real one. An agent that shows its work is an agent you can supervise. An agent that hides its work is a liability with a friendly interface.

Try it on a project where you already use Claude Code heavily, and watch one long session through the dashboard instead of the terminal. If it changes how quickly you spot a wrong turn, keep it. If it tells you nothing you did not already know, the cost of finding out was zero, because the tool is free and open. That is a fair trade, and it is why small open-source tools like this one tend to spread fast.

AS
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