# JerryZLiu/Dayflow

The automatic work journal/time tracker. Privately turns your screen into a timeline of what you actually accomplished. Open-source and local-first.

Repository: https://github.com/JerryZLiu/Dayflow
Canonical: https://ross.abutalabs.com/products/dayflow
Homepage: https://www.dayflow.so/
Language: Swift
License: MIT
License Family: permissive
Topics: gemini, lmstudio, ollama, productivity, productivity-tools, swift, time, timeline, ai, chatgpt, claude, llm, local-first, macos, screen-recording, time-tracker, time-tracking, work-journal
Last push: 2026-08-19T08:54:53+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 98, release rhythm 86, longevity 24
- inputs: {"age_days": 345, "days_push": 14, "days_rel": 14, "gap_med": 1.5, "n_releases_24m": 81}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6948, forks 419 (observed 2026-08-28T04:09:51.668386+00:00)

## What it is
Dayflow is an open-source, local-first macOS app that automatically turns your screen activity into a timeline of what you accomplished, using AI providers like Gemini, Ollama, or LM Studio. It offers daily standup summaries, weekly reviews, and a chat interface grounded in your work timeline, with privacy by default.

## Use cases
- automatically track what I did on my Mac without manual timers
- generate daily standup updates from my screen activity
- see a weekly review of where my time went
- chat with an AI about what I worked on this week
- keep a private work journal with local AI
- identify distractions and focus patterns during my workday

## When to choose
- you want automatic, private time tracking on macOS without manual timers
- you prefer local-first AI processing with Ollama or LM Studio
- you need to write standup or status updates quickly from real activity data
- you want an auditable, open-source productivity tool

## When to avoid
- you need a Windows or Linux tracker today (Windows is coming)
- you don't want any screen capture running on your machine
- you need team-wide time tracking with centralized dashboards
- you're on a tight budget and need unlimited cloud AI usage without your own API keys

## Facets
- artifact type: application
- maturity: active
- function: llm-inference, analytics, data-visualization, chat-interface
- domain: developer-tools, artificial-intelligence, desktop-applications, privacy
- platform: -
- tags: time-tracking, work-journal, local-first, screen-activity, automatic-timeline, standup-notes, ollama, lmstudio, gemini, open-source, screen-recording, macos, swift, desktop

## Member repositories
- JerryZLiu/Dayflow (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:51.668386+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 2026-08-29T17:41:12.870782+00:00, confidence not recorded.
  - readme: https://github.com/JerryZLiu/Dayflow (fetched 2026-08-28T04:09:51.668386+00:00, sha 982993618afd)
  - homepage: https://www.dayflow.so/ (fetched 2026-08-29T08:37:00.917361+00:00, sha 714a34990e37)
  - site_page: https://www.dayflow.so/pricing (fetched 2026-08-29T08:37:00.926359+00:00, sha 80eefc7173bb)
- Data as of 2026-08-30T08:39:29.467469+00:00.