tablo is a cozy desktop widget designed in the form of a tiny cat that sits unobtrusively in the corner of your screen to keep an eye on your active AI coding sessions. Created by developer Mitul Sheth, tablo addresses a common friction point in modern software development: launching an AI coding agent, switching tabs to work on something else, and accidentally letting the agent sit idle due to context limit exhaustion, tool approval requests, or unexpected errors.

Instead of requiring you to repeatedly switch back to check progress or scroll through static usage dashboards, tablo actively tracks your active sessions across both Claude Code and Codex in real time. It features continuous live context meters that visualize the fill rate of conversation windows per session, giving developers immediate visual clarity into the health and remaining capacity of their active prompts.

Whenever an agent gets stuck, hits a barrier, or requires human tool approvals, tablo provides an instant desktop nudge. Built to offer interactive, real-time feedback without cluttering your workspace, this tiny desktop companion helps developers maintain continuous focus while keeping multi-agent workflows running smoothly.

Pros of tablo

Real-time tracking of conversation context windows per session
Instant alerts when AI agents require tool approvals or get stuck
Supports active monitoring across both Claude Code and Codex
Unobtrusive, cozy desktop widget design that stays out of your way

Cons of tablo

Integrations are currently limited specifically to Claude Code and Codex
Limited documentation available regarding specific OS desktop requirements

Frequently Asked Questions

What is tablo?

tablo is a cozy desktop widget in the shape of a tiny cat that monitors your active AI coding agent sessions from the corner of your screen, providing real-time context meters and instant alerts.

Which AI tools does tablo support?

tablo currently supports active session monitoring across Claude Code and Codex.

What does tablo monitor during an AI coding session?

tablo tracks how fast conversation context windows fill up in real time per session and nudges you the moment an agent requires tool approvals, gets stuck, or needs human intervention.

How is tablo different from traditional usage dashboards?

Unlike static usage dashboards that aggregate metrics after the fact, tablo sits unobtrusively on your desktop to track active session context limits in real time and immediately alerts you when your input is needed.