pi-daily

Daily work reports for Pi, generated from local session activity.

pi-daily is a Pi Coding Agent extension that turns your local Pi session history into a concise Markdown daily report.

✨ What it does

Scenario	Behavior
Run /daily	Generates today's work report from local Pi sessions
Run /daily YYYY-MM-DD	Generates a report for a specific date
Run /daily --project current	Restricts the report to the current working directory
Run /daily --save	Saves the generated report to ~/Documents/pi-daily-reports/
AI summary fails	Falls back to a local rule-based Markdown report

🚀 Install

pi install npm:pi-daily

Then run in Pi:

/daily

Why this exists

Pi already stores session activity locally. pi-daily reads those session files and turns them into a lightweight daily worklog:

• what you worked on;
• which projects or concrete work items were active;
• what files and tools were involved;
• what got done;
• what is blocked or worth following up;
• per-project or per-item progress, outputs, risks, and follow-ups.

Privacy model

• Reads local ~/.pi/agent/sessions/**/*.jsonl.
• Does not modify original session files.
• Does not upload raw session text.
• Sends only redacted structured facts to the current conversation model.
• Redacts common secrets before rendering output.
• Saves reports only when explicitly requested with --save.

AI summary model

pi-daily directly uses the current conversation model. There is no separate model configuration file and no package-level fallback model chain.

If the current conversation model call fails, pi-daily falls back to the local rule-based Markdown report.

Output shape

AI reports are grouped by real project directories and concrete work items. Default workspace folders such as /Users/diwu are not treated as projects; their content is split into actual work items.

# YYYY-MM-DD 工作日报

## 今日概览

## 项目/事项一：<项目名或事项名>
### 进展
### 产出
### 阻塞 / 风险
### 待跟进

## 项目/事项二：<项目名或事项名>
### 进展
### 产出
### 阻塞 / 风险
### 待跟进

## 跨项目观察

## 工具与文件活动

Current implementation

• index.ts registers /daily.
• src/session-scan.ts scans and parses local session JSONL files.
• src/session-extract.ts extracts tasks, files, tools, errors, and blockers.
• src/report-model.ts aggregates a report model by project/workspace.
• src/ai-summary.ts summarizes structured facts with the current conversation model.
• src/markdown-render.ts renders the local fallback Markdown report.
• src/redact.ts redacts obvious secrets.
• Runtime logic uses direct TypeScript modules throughout the source tree.

Development

npm install
npm run check
npm test

Local testing with Pi

From this repository:

pi -e ./index.ts

Then run:

/daily

If you want to save the report:

/daily --save

Project structure

pi-daily/
├── index.ts
├── src/
├── tests/
├── doc/
├── package.json
└── README.md

License

MIT