Device agnostic
Change watches or apps without leaving your training history behind. Keep your SQLite record wherever you choose.
Athletic Standard
The open standard for your training data, in one local database you own.
Use your ath record with the agent you choose.
- Muse
- Grok Bot
- OpenAI
Why use ATH
Your workouts are spread across watches, apps and old logs.
Bring that history into your local ath record, so your agent has more to work with than the last conversation.
Choose your agent
Use your ath record with the agent and model you choose. Ask your own questions, build your own tools, and change providers as your needs change.
No subscription
ATH is free to use. No account or subscription required.
Fill in the history
Have your agent match device sessions with workout details from spreadsheets, notebooks and old training plans.
Measured and reported
Device readings keep their source. Your notes stay separate, and vendor scores stay labeled.
Start with your training history
Bring your workouts, sleep and recovery together from Apple Health, WHOOP and Oura.
$ath import ~/Downloads/export.zipimport ~/Downloads/export.zipATH v1.0.0
One live SQLite database.
Training records, revisions and dense samples now live in athlete.ath.sqlite. Export a complete JSON snapshot when you need a portable backup.
Available on npm as athleticstandard@1.0.0.
Your ath databaseNow you can
Now you can
look back
Look back across devices and years. Link a logged result to its recorded session, with device measurements and your own notes kept distinct.
Inside your ath record ↗Fran RX
5 attempts4:3240s faster since May
- Logged result
- 4:32 RX · Manual
- Linked session
- Apple Watch · 154 bpm avg
- Your note
- “legs felt heavy”
ath logLog it from
Log it from
anywhere
A notebook, a coach’s text, the whiteboard, an online program, a PDF. Drop it into your agent chat, add what you actually did, and log it to your ath record.
Log a workout ↗$ath log Fran in 4:41 rxlog fran 4:41 rx
ath predictBefore the
Before the
next attempt
Ask your agent to estimate your next attempt from past results, recent training and longer-term baselines. Save the prediction before you know the result.
Work through a prediction ↗$ath predict franpredict my next fran time and save itFran / next attempt
4:25–4:40
Based on your previous attempts and recent training.
ath log + gradeBring back
Bring back
the actual time
Log the result. When exactly one open prediction matches, ATH links and grades it in the same transaction. Explicit grading uses existing prediction and result IDs.
Grade an attempt ↗$ath log Fran in 4:32 rxgot 4:32 on fran. log it and compare it to the open predictionFran / RX
4:32Predicted 4:25–4:40Within range
Get startedStart with the
Start with the
history you have
Install ATH, check the version, import an export and keep adding to your local record.
$npm i -g athleticstandardread https://ath.fit/SKILL.md and follow the instructions to set up ath and its agent skill for me