# wm94i/Work-Review

Automatically tracks which apps you used, which websites you visited, and how much time you spent in each app throughout the day.

Repository: https://github.com/wm94i/Work-Review
Canonical: https://ross.abutalabs.com/products/work-review
Homepage: https://aiqst.com
Language: Rust
License: MIT
License Family: permissive
Topics: ai, daily-report, privacy, productivity, time-tracking, work-log, dashboard, timetracker, timetracking
Last push: 2026-08-25T01:13:02+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 12
- inputs: {"age_days": 176, "days_push": 9, "days_rel": 11, "gap_med": 1.0, "n_releases_24m": 59}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1748, forks 115 (observed 2026-08-28T04:05:30.897396+00:00)

## What it is
Work Review is a local-first desktop application that automatically tracks which apps you used, websites you visited, window titles, usage time, and optional screenshots into a reviewable timeline. It generates daily reports and lets you ask questions about your own work history, with all data stored locally and AI features optional.

## Use cases
- track how much time I spend in each app and website each day
- generate a daily work report automatically
- recall what I was working on earlier today
- ask an AI what I did today based on my activity history
- keep a private work log without uploading data to any server
- review my focus and productivity trends over the past week

## When to choose
- you want a privacy-first, fully local time tracker with no cloud upload
- you need automatic daily reports from your actual app and browser usage
- you want to query your own work history with optional AI assistance

## When to avoid
- you need team-wide employee monitoring or centralized time data
- you want cloud sync across devices
- you need a lightweight background-only tracker without a dashboard UI

## Facets
- artifact type: application
- maturity: active
- function: analytics, ocr, llm-inference, data-visualization
- domain: developer-tools, privacy
- platform: windows
- tags: time-tracking, local-first, daily-report, screenshots, sqlite, tauri, rust, ai-assistant, macos, linux, desktop

## Member repositories
- wm94i/Work-Review (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.897396+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:29:01.182289+00:00, confidence not recorded.
  - readme: https://github.com/wm94i/Work-Review (fetched 2026-08-28T04:05:30.897396+00:00, sha 30186e9b06d6)
  - homepage: https://aiqst.com (fetched 2026-08-29T11:06:48.953155+00:00, sha 1315c251f8a4)
- Data as of 2026-08-30T08:39:29.467469+00:00.