| name | personal-insight-engine |
| description | Personal Insight Engine (PIE) - A strategic analysis tool that scans local session logs (memory/*.md) and extracts 3 strategic insights using LLMs. |
| version | 1.0.4 |
| metadata | {"openclaw":{"requires":{"bins":["python3"],"env":["ZHIPU_API_KEY","GEMINI_API_KEY"],"python_packages":["httpx","python-dotenv"]}}} |
PIE (Personal Insight Engine)
Analyze your startup journey by distilling strategic patterns from your memory logs.
Setup
1. Configure API Keys:
PIE requires at least one of the following environment variables. If both are provided, Gemini is used by default.
GEMINI_API_KEY: For Google Gemini 2.0 Flash (Recommended).ZHIPU_API_KEY: For Zhipu AI GLM-4.
2. Dependencies:
pip install -r requirements.txt
Usage
Run Weekly Review
By default, scans the last 7 days and auto-detects the provider:
python3 scripts/pie.py
Force a Provider
If you want to use a specific LLM regardless of your environment defaults:
python3 scripts/pie.py --provider zhipu
python3 scripts/pie.py --provider gemini
Custom Lookback
Scan a specific number of days (e.g., last 30 days):
python3 scripts/pie.py --days 30
Privacy & Safety (Hardened)
PIE is built for high-stakes startup analysis where privacy is non-negotiable:
- Zero-Exposure Redaction: Before transmission, all content is scrubbed for:
- API Keys, Tokens, and Passwords (regex-hardened).
- Email addresses and IP addresses.
- Local file system paths (home/user directories).
- Standardized Pathing: Only scans the
memory/ folder within the official OPENCLAW_WORKSPACE.
- Content Distillation: Strips out JSON metadata and system headers to ensure the LLM only sees the semantic dialogue.
How it works
- Discovery: Standardized scan of
memory/ via OPENCLAW_WORKSPACE.
- Sanitization: Multi-stage PII redaction (IPs, Emails, Keys, Paths).
- Synthesis: Pattern recognition across logs for strategic pivots and pain points.
- Output: Formatted Markdown report for the startup founder.
Developed by Leo & Neo (Startup Partners)
