gptme-activity-summary

v0.1.0 Activity summarization for gptme agents — journals, GitHub, sessions, tweets, email packages/gptme-activity-summary View on GitHub

gptme-activity-summary

Activity summarization for gptme agents and humans — journals, GitHub, sessions, tweets, email, and local time tracking.

Supersedes whatdidyougetdone — the human work-report use case lives here now, with ActivityWatch as the primary time-tracking source and GitHub as an optional overlay.

Features

Installation

pip install gptme-activity-summary

Usage

Human Mode (ActivityWatch + optional GitHub)

Generate work reports from local time tracking with optional GitHub overlay. No agent workspace or journal required — works for any human user.

# Daily report (ActivityWatch only)
gptme-activity-summary daily --mode human --date yesterday

# Daily with GitHub activity overlaid
gptme-activity-summary daily --mode human --date yesterday --github-user your-github-username

# Weekly report (AW + GitHub)
gptme-activity-summary weekly --mode human --week last --github-user your-github-username

# Monthly report
gptme-activity-summary monthly --mode human --month last --github-user your-github-username

# Raw data — skip LLM summarization, print source data only
gptme-activity-summary weekly --mode human --week last --github-user your-github-username --raw

ActivityWatch is the primary data source. Install and run ActivityWatch on your machine for time-tracking data. If AW is not running, AW data is skipped gracefully and GitHub-only reports still work.

Agent Mode (journal-based)

# Daily summary from journal entries
gptme-activity-summary daily --date yesterday

# Weekly summary
gptme-activity-summary weekly --week last

# Monthly summary
gptme-activity-summary monthly --month last

# Smart mode — auto-triggers weekly/monthly when appropriate
gptme-activity-summary smart --date yesterday

Requirements

License

MIT