Personal Insight Engine

---

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

1. Discovery: Standardized scan of memory/ via OPENCLAW_WORKSPACE. 2. Sanitization: Multi-stage PII redaction (IPs, Emails, Keys, Paths). 3. Synthesis: Pattern recognition across logs for strategic pivots and pain points. 4. Output: Formatted Markdown report for the startup founder.

---

*Developed by Leo & Neo (Startup Partners)*

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

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