Codenotary Releases AgentMon Live – Free, Open-Source Software to Improve AI Coding Productivity

Codenotary, leaders in assuring safe and secure use of AI, released AgentMon Live, free, open-source software that helps developers using Claude Code. It checks whether AI coding agents have completed requested work, identifies problems requiring human attention and reduces unnecessary token consumption.

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AgentMon Live integrates directly with Claude Code and provides a live dashboard of agent activity, tool use, file changes and verification results. Its “Done Gate” feature checks recorded session activity for evidence of unfinished work – including failed or outdated tests, incomplete tasks and subagent failures – before an agent finishes.

Available immediately under the Apache 2.0 license, AgentMon Live gives developers access to its source code to inspect, modify, extend and contribute improvements. AgentMon Live is Codenotary’s contribution to the growing community of developers building software with agentic AI.

“AI coding productivity is measured by how much useful, verified work gets completed,” said Dennis Zimmer, chief technology officer and co-founder of Codenotary. “Developers should not have to spend their days supervising agents, checking whether they really finished, or guessing where their tokens went. We built AgentMon Live to address these problems, and we’re releasing it completely free and open source because we believe the entire agentic development community should benefit.”

While AI coding agents can independently perform increasingly complex development tasks, developers often waste considerable time supervising their execution, reviewing lengthy conversations, and repeating instructions. Also, agents may report completion when tests have failed, verification predates the latest code changes or requested steps remain unfinished.

AgentMon Live addresses these challenges through three core capabilities:

1- Verify completed work – The AgentMon “Done Gate” examines recorded session activity for unresolved failures and missing or outdated verification, prompting Claude Code to finish the work or clearly explain what remains. An optional second-model advisor can separately assess whether the agent’s response addresses the developer’s original request.

2- Focus developer attention – The AgentMon Live real-time dashboard displays active tools, subagents, file modifications, pending approvals and verification results. Developers can identify stalled subagents, repeated failures and other situations requiring intervention without continuously reading agent conversations.

3- Identify wasted tokens and time – AgentMon Live provides visibility into token consumption, context growth, cache efficiency and tool execution time. It identifies potential inefficiencies, including repeated file reads, excessively large tool outputs and unused Model Context Protocol (MCP) servers. A built-in benchmarking command lets developers compare sessions with and without AgentMon Live.

Early use demonstrates practical value

During one user’s initial two-day evaluation across nine projects, the “Done Gate” flagged potentially unfinished work and returned it to Claude Code 59 times. In 12 of those instances, the agent subsequently performed additional work.

Examples included completing an unfinished production deployment, rebuilding software after further source-code changes and performing end-to-end verification of applications previously reported as complete although testing was not done. These observations represent an early individual evaluation, rather than a controlled benchmark.

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