Worktale tracks AI coding sessions across multiple agents and keeps a per-commit narrative in a daily log. Its page frames the tool as a way to revisit code later and understand why changes were made, with commits, decisions, and AI session notes preserved for review.
The service records information from AI-assisted work in a unified dashboard. The captured fields shown on the page include provider or model, input and output tokens, cost in USD, tools used, and session duration. It lists support for Claude Code, Codex, OpenCode, and Copilot, and shows aggregated views such as daily logs, history, streaks, commit timelines, contribution heatmaps, module activity, coding hours, and AI session statistics. The interface also includes keyboard-driven navigation and a digest workflow for reviewing and editing notes.
Worktale is available through a command-line interface, installed with npm, and through a native desktop application. The desktop app is presented as a Tauri and React app, and the page says it reproduces the CLI features in a graphical interface. It also notes Windows availability for the desktop installer, with macOS and Linux versions marked as coming soon, and says the desktop app requires the Worktale CLI.
The page shows a pricing link and a cloud offering, and it refers to Worktale Cloud in connection with publishing digests from the desktop editor. It also shows a GitHub star prompt and a version label of v1.5.0. The product is described as a tool for developers working with AI coding agents, especially for tracking, reviewing, and understanding those sessions over time.
In the Other analytics space, Worktale takes a focused approach. It focuses on tracking and analyzing AI-assisted coding sessions, costs, and context across multiple agents for developers. Worktale is a B2B product aimed at developers using AI coding assistants. There is a free tier. It ships for the command line, Windows, macOS, and Linux.
Worktale first shipped in 2026. Development happens publicly on GitHub with 38 stars and 52 commits in the last 90 days. Among its 6 catalogued features are AI agent tracking, cost analysis, and session context logging.
Summary written by a language model from the project’s public pages.
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