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What Tools Track AI Agent Progress in 2026?

Tools to track AI agent progress: git diffs, logs, crons, and an alive check. Host stickers start at $3.99/mo. Tokens are the large line.

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This image illustrates a digital workspace setup for monitoring AI agent progress using multiple tracking tools. Central to the layout is a large transparent screen displaying four key modules: Git for version control diffs, Files for document tracking, Logs for runtime information, and Alive for status monitoring. The environment features a keyboard, mouse, office chair, and two server towers housed in transparent cases, all connected with blue cables representing data flow. A crossed-out chat bubble labeled 'Not progress' emphasizes that conversational outputs are not reliable performance metrics. A digital clock reading 02:14 is also displayed, underscoring real-time monitoring. The bottom text states 'A chat bubble is not a scoreboard', reinforcing the theme. The image is branded with 'Agent 37' in the corner, suggesting the tool or company name related to AI agent management.
Track AI agent progress with git diffs, job timestamps, logs, and an alive check. A pretty status page that cannot show the last file written is not a tracker. Host the agent somewhere that stays up. Managed Basic is $3.99/mo (1 vCPU, 4 GB RAM, 8 GB). Tokens are separate and usually larger. If the only artifact is a chat bubble, you are not tracking progress. You are reading a diary.
Progress is a diff, a file, or a failed run with a time on it.
Everything else is decoration.

What counts as progress for an AI agent?

A committed diff, a file in a known folder, a successful cron, or a failed cron with a timestamp. "The model said it was done" is not progress. I want an artifact a second person can open without asking the agent to explain itself.
Four artifacts, in order:
  1. Git. Branch, commit, PR. For coding agents this is the scoreboard.
  1. Files. A report, a screenshot, a CSV in a path you chose before the run.
  1. Job log. Start, end, exit, tool calls. One stream per instance.
  1. Alive. Process up after a restart. If it died, the other three are stale.
This image illustrates four key artifacts used for monitoring the progress of AI agents. From left to right, it shows: a computer screen displaying Git code for version control; a folder with files representing documentation or data storage; another computer screen with a job log for recording task execution details; and a green 'alive' status indicator signifying active operation. The image emphasizes the importance of these tools in maintaining and tracking AI agent workflows, highlighting that a summary alone is not a sufficient deliverable. The bottom right corner features the Agent 37 logo.

Which tools should you use first?

Git, the host file browser, the host terminal, and a weekly token export. Add a dedicated tracker only after those four feel slow. Most teams buy a dashboard and still cannot find yesterday's branch.
Tool
What it proves
When it is the wrong tool
Git / PR
Code actually changed
Ops bots that never touch a repo
Instance files
The job wrote the artifact
When five agents share one folder
Terminal and logs
What failed, and when
When logs from 5 agents are one soup
Live desktop
Browser login still holds
Lean bots with no browser
Provider usage page
Token dollars
When you only stare at the host invoice
Cron history
The schedule ran
When success means exit 0 and an empty file
On Agent 37 the browser terminal, file browser, and live desktop sit on the instance you already pay for. Pricing: Agent 37 pricing. Home: agent37.com.
Pro at $29.99/mo is the tier with Chromium. If progress depends on a logged-in site, that desktop is the tracker. A CPU chart will not show a logged-out session.
DIY is better when you already live in Grafana and the agent logs are just another service. Budget 4 hours. At $50/hour that is $200, more than a year of Basic ($47.88).

How do you track a fleet without lying to yourself?

One tracker stream per trust boundary. Engineer A's coding agent and Client B's bot do not share a log file "for convenience." Shared progress boards hide who spent the money and who touched the file.
Rules I would not bend:
  1. Name the output path before the run.
  1. Reject runs with no artifact. A cheerful summary is not a deliverable.
  1. Split host dollars from token dollars every week.
  1. Alert on silence. No commit and no file in 6 hours for a job that should have run is a failure.
  1. Keep a human confirm on external email and on spend over a cap you write down. I use $50 in a day as the "stop and look" line for a young fleet. Raise it when you have data.
I've run the tracker three ways. Laptop notes: gone when the lid closed, and then the progress vanished overnight. A $5 VPS and a text file: fine until the disk filled, and then the progress vanished overnight. Managed instance with git plus the file browser: the reboot did not eat the diff, and then the progress stayed overnight.
Related ops: how to monitor AI agents. Fleet shape: how to manage multiple AI agents.

What does tracking cost once the agent is chatty?

This image presents a comparison of hosting plans offered by Agent 37, detailing four subscription tiers: Basic, Plus, Pro, and Max. Each plan is represented visually by a server rack and accompanied by pricing and specifications, including vCPU count, RAM, and storage allocation. Prices range from $3.99 to $99.99 per month. The image emphasizes the tracking of agent progress starting at $3.99/month with a note about cloud API availability from approximately $4.76/month. The Pro plan highlights the use of Chromium. This illustration is suitable for documentation or marketing materials to inform users about hosting options and corresponding technical resources.
The tracker is cheap. The tokens are not. A quiet Basic instance is $3.99/mo. Five coding agents at $20/mo each in tokens is $100/mo. Your progress tool did not cause that. Your missing cap did.
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Plan
Price
Tracking note
Free
$0
Sleeps. Progress stalls when idle. About 10 hours/week awake.
Basic
$3.99/mo
Always-on files and terminal. 8 GB disk.
Plus
$9.99/mo
12 GB. More room for logs and artifacts.
Pro
$29.99/mo
Chromium. Watch browser progress on a live desktop.
Max
$99.99/mo
Team roles. More than one person can open the instance.
Cloud API
About $4.76/mo awake
2 vCPU, 4 GB RAM, 4 GB disk. White-label. Per minute.
Rates: $0.80/vCPU, $0.70/GB RAM, $0.09/GB disk. Idle disk about $0.36/mo for 4 GB. Source: Agent 37 pricing. Homepage claim: agents for 100+ companies.
QM fleets track progress as room files and Slack threads, not as one personal git repo. Managed QM: QM agent hosting on Agent 37. It is early. Read SECURITY.md.

Which progress tool fits which job?

This image presents four conceptual tools to track the progress of AI agents, emphasizing the importance of selecting a scoreboard before execution. The tools depicted include 'PR or diff', illustrated by a developer workstation with code on screen; 'Named file', represented by a glowing digital document icon; 'Live desktop', shown as a computer screen with a user interface; and 'Room time', symbolized by a chat interface with a clock. The image highlights that only one scoreboard should be used per job, providing a clear framework for monitoring and evaluating AI agent workflows. The visual is branded with 'Agent 37' and can be used in documentation or presentations about AI workflow management and agent monitoring tools.
Coding jobs live in git. Ops jobs live in a file plus a cron timestamp. Browser jobs live on a desktop you can open. Using one tool for all three is how a fleet looks busy and ships nothing. Pick the scoreboard before the run, in writing, in one line.
Job
Scoreboard
Fail condition
Overnight repo work
PR or diff
No commit in 6 hours
Report or research
File at a path you named
Empty file, exit 0
Browser task
Live desktop plus screenshot file
Logged-out session
Slack or web room
Message timestamp in that room
Webhook 404
A second tool is allowed after the first one has been wrong twice. Not before. I would rather an ugly git log than a polished board that cannot name the last file.

How do you review progress in 20 minutes a day?

One page: alive, last artifact, token spend, open incident. Twenty minutes. Not a war room.
  1. List instances. Mark any that slept or restarted.
  1. Open the artifact path. If it is empty, the job failed even if the log says success.
  1. Check yesterday's token total against your cap.
  1. Write one line on what a human must confirm before the agent emails or spends.
If that review takes 2 hours, the tools are in the wrong place. You are reconstructing state from chat.

What do founders ask about tracking AI agent progress?

Is a chat transcript a progress tool?

No. Keep it for debugging. Score the run on a diff, a file, or a timestamped failure.

Can several people watch the same agent?

Max at $99.99/mo includes team roles. Before that, do not share one login "temporarily."

What if the agent is not a coding agent?

Swap git for the file or the message it was supposed to send. The alive check and the spend check stay.

Do I need a separate observability vendor?

Not on day one. Use the host logs. Add Grafana or Datadog when you already operate them and the fleet is large enough that 4 hours of glue pays back.

What is the cheapest always-on setup for tracking?

Basic at $3.99/mo, plus BYOK tokens, plus a git remote you already have.
Start here: agent37.com from $3.99/mo.