DoneThat vs Dayflow
Open-source macOS app that auto-generates a timeline.
AI Memory: side-by-side
Tools to archive your digital life and make it available for later use by eg AIs.
| Tool | Input data | Platform support | Data location | API |
|---|---|---|---|---|
Privacy-first work tracker and AI coach Best for: Calendar-like timeline of your work. | Screen, audio, apps | macOS, Windows, Linux | Cloud | Yes |
Open-source macOS app that auto-generates a timeline. Best for: Local-first timeline and summaries on macOS. | Screen recording | macOS | Local | -No |
Dayflow is best for
Local-first timeline and summaries on macOS.
DoneThat is best for
Calendar-like timeline of your work.
See the full ai memory comparison or visit Dayflow.
AI-generated comparison
Prompt
Compare https://donethat.ai/ and https://github.com/JerryZLiu/Dayflow honestly. Check both websites yourself, then summarize where DoneThat is stronger and where Dayflow is stronger. Do not rank them globally.
Result
DoneThat and Dayflow both automatically capture work activity and turn it into a readable record, but they target different buyers: DoneThat is a paid cross-platform productivity coaching product with integrations and a coach persona, while Dayflow is a free open-source macOS work journal focused on local-first capture and flexible AI backends.
DoneThat stronger
- Runs on Windows, Mac, and Linux, while Dayflow is macOS 14+ only.
- Ships an AI coach ('Don') that intervenes in real time when you go off-track, not just a passive journal.
- Offers business workflow integrations via API, MCP, Zapier, and n8n for piping tracked work into other tools.
- Presents clear tiered pricing and a 14-day trial, making it easier for a buyer to evaluate and budget.
- Backs trust with a public founder pledge (50% of any exit to charity) alongside an open-source desktop app.
Dayflow stronger
- Free to download via GitHub and Homebrew, with no subscription required to use the core product.
- Fully open source and local-first by default, which is a stronger guarantee for privacy-sensitive Mac users.
- Lets users plug in their own AI backend, including local models via Ollama or LM Studio, avoiding vendor lock-in.
- Built-in standup and weekly review outputs are framed specifically around developer/IC reporting needs.
- Natural-language chat over the work journal and Markdown export make it easy to repurpose history in other tools.
Explore related pages
Productivity Coaching
Meet Don, the AI coach inside DoneThat that turns your work patterns into practical coaching, goals, and next steps.
ExploreFeature Overview
Explore DoneThat features for AI time tracking, automatic summaries, productivity coaching, privacy controls, and team visibility.
ExplorePrivacy
Learn how DoneThat protects your data with privacy controls, secure architecture, local capture options, and AI data handling.
ExploreReady to try DoneThat?
Fully automated AI time tracking and coaching. 14-day free trial.