Turns your screen activity into a clean timeline with AI summaries and distraction highlights.
Quickstart • Why I built Dayflow • Features • How it works • Installation • Data & Privacy • Automation • Debug & Developer Tools • Auto‑updates • Contributing
Dayflow is a native macOS app (SwiftUI) that records your screen at 1 FPS, analyzes it every 15 minutes with AI, and generates a timeline of your activities with summaries. It's lightweight (25MB app size) and uses ~100MB of RAM and <1% cpu.
Privacy‑minded by design: You choose your AI provider. Use Gemini (bring your own API key), local models (Ollama / LM Studio), or ChatGPT/Claude (requires paid subscription). See Data & Privacy for details.
I built Dayflow after realizing that my calendar wasn't the source of truth for how I actually spent my time. My screen was. I wanted a calm, trustworthy timeline that let me see my workday without turning into yet another dashboard I had to maintain.
Dayflow stands for ownership and privacy by default. You control the data, you choose the AI provider, and you can keep everything local if that's what makes you comfortable. It's MIT licensed and fully open source because anything that watches your screen all day should be completely transparent about what it does with that information. The app should feel like a quiet assistant: respectful of your attention, honest about what it captures, and easy to shut off.
- Automatic timeline of your day with concise summaries.
- 1 FPS recording - minimal CPU/storage impact.
- 15-minute analysis intervals for timely updates.
- Watch timelapses of your day.
- Auto storage cleanup - configurable storage limits.
- Distraction highlights to see what pulled you off‑task.
- Timeline export — export your timeline as Markdown for any date range.
- Native UX built with SwiftUI.
- Auto‑updates with Sparkle (daily check + background download).
Set intentions, reflect on your day, and get AI-generated summaries of your activity.
- Morning intentions — plan what you want to accomplish.
- Evening reflections — review how your day actually went.
- AI summaries — get auto-generated insights from your timeline.
- Scheduled reminders — configurable notifications for intentions and reflections.
- Weekly view — see patterns across your week.
Note: Journal is currently in beta with limited access. Enter your access code in the app to unlock it.
-
Infinitely customizable dashboard — ask any question about your workday, pipe the answers into tiles you arrange yourself, and track trends over time.
- Capture — Records screen at 1 FPS in 15-second chunks.
- Analyze — Every 15 minutes, sends recent footage to AI.
- Generate — AI creates timeline cards with activity summaries.
- Display — Shows your day as a visual timeline.
- Cleanup — Auto-manages storage based on your configured limits (1GB–20GB or unlimited).
The efficiency of your timeline generation depends on your chosen AI provider:
flowchart LR
subgraph Gemini["Gemini Flow: 2 LLM Calls"]
direction LR
GV[Video] --> GU[Upload + Transcribe<br/>1 LLM call] --> GC[Generate Cards<br/>1 LLM call] --> GD[Done]
end
subgraph Local["Local Flow: 33+ LLM Calls"]
direction LR
LV[Video] --> LE[Extract 30 frames] --> LD[30 descriptions<br/>30 LLM calls] --> LM[Merge<br/>1 call] --> LT[Title<br/>1 call] --> LC[Merge Check<br/>1 call] --> LMC[Merge Cards<br/>1 call] --> LD2[Done]
end
subgraph ChatCLI["ChatGPT/Claude Flow: 4-6 LLM Calls"]
direction LR
CV[Video] --> CE[Extract frames<br/>every 60s] --> CB[Batch describe<br/>10 frames/call] --> CM[Merge segments<br/>1 call] --> CC[Generate Cards<br/>1 call] --> CD[Done]
end
%% Styling
classDef geminiFlow fill:#e8f5e8,stroke:#4caf50,stroke-width:2px
classDef localFlow fill:#fff8e1,stroke:#ff9800,stroke-width:2px
classDef chatcliFlow fill:#e3f2fd,stroke:#1976d2,stroke-width:2px
classDef geminiStep fill:#4caf50,color:#fff
classDef localStep fill:#ff9800,color:#fff
classDef chatcliStep fill:#1976d2,color:#fff
classDef processing fill:#f5f5f5,stroke:#666
classDef result fill:#e3f2fd,stroke:#1976d2
class Gemini geminiFlow
class Local localFlow
class ChatCLI chatcliFlow
class GU,GC geminiStep
class LD,LM,LT,LC,LMC localStep
class CB,CM,CC chatcliStep
class GV,LV,LE,CV,CE processing
class GD,LD2,CD result
Gemini leverages native video understanding for direct analysis. Local models reconstruct understanding from individual frame descriptions. ChatGPT/Claude uses CLI tools to batch-process extracted frames with frontier reasoning models—balancing quality and efficiency.
Download (end users)
- Grab the latest
Dayflow.dmgfrom GitHub Releases. - Open the app; grant Screen & System Audio Recording when prompted:
macOS → System Settings → Privacy & Security → Screen & System Audio Recording → enable Dayflow.
Build from source (developers)
- Install Xcode 15+ and open
Dayflow.xcodeproj. - Run the
Dayflowscheme on macOS 13+. - In your Run scheme, add your
GEMINI_API_KEYunder Arguments > Environment Variables (if using Gemini).
- macOS 13.0+
- Xcode 15+
- A Gemini API key (if using Gemini): https://ai.google.dev/gemini-api/docs/api-key
- Download
Dayflow.dmgand drag Dayflow into Applications. - Launch and grant the Screen & System Audio Recording permission.
git clone https://github.com/JerryZLiu/Dayflow.git
cd Dayflow
open Dayflow.xcodeproj
# In Xcode: select the Dayflow target, configure signing if needed, then Run.If you are using Homebrew, you can install Dayflow with:
$ brew install --cask dayflowThis section explains what Dayflow stores locally, what leaves your machine, and how provider choices affect privacy.
All Dayflow data is stored in:
~/Library/Application Support/Dayflow/
- Recordings (video chunks):
Dayflow/recordings/(or choose "Open Recordings..." from the Dayflow Taskbar Icon Menu) - Local database:
Dayflow/chunks.sqlite - Recording details: 1 FPS capture, analyzed every 15 minutes, configurable storage limits
- Purge / reset tip: Quit Dayflow. Then delete the entire
Dayflow/folder to remove recordings and analysis artifacts. Relaunch to start fresh.