sam-4screen-desktop 2026-10-14:13:36:28

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2026-10-14 13:36:28 +11:00
parent 9dee4dc7de
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},
"active": "26813e16e829b798",
"lastOpenFiles": [
"010 inbox/Graphify.md",
"010 inbox/Internet Use Control — Kids' Screen Time Limits.md",
"010 inbox/Email Agent — Family Inbox Triage.md",
"100 inbox/Local LLM Infrastructure & Qwen2.5 Deployment.md",
@@ -239,7 +240,6 @@
"200 projects/210 AI Resume/Hindsight AI Resume Tool.md",
"010 inbox/Alibaba Code Review AI Tool.md",
"300 areas/395 AI Tools to try/Alibaba Code Review AI Tool.md",
"Clippings/alibabaopen-code-review Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, S.md",
"010 inbox/_WATCHER",
"300 areas/355 AI Research and Techniques",
"300 areas/355 Ai Research and Techniques",

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010 inbox/Graphify.md Normal file
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---
title: Graphify
type: note
status: active
proposed_folder: 200 projects/Tools Software WebUI
proposed_toc: "100 Table of Contents/Projects.md → Tools & Software"
proposed_tags:
- project
- ai-agents
- architecture
- obsidian
- graphify
- tool
- knowledge-graph
- pi-agent
- showcase
confidence: 0.36
approved: false
proposed_for: 81b41d8d42a8
created: "2026-10-13"
tags:
- ai
- tool
- graphify
- knowledge-graph
- pi-agent
- showcase
aliases: []
skills:
- python
- knowledge-graphs
- mcp
- subagent-orchestration
- graph-analytics
tools:
- graphify (graphifyy)
- pi-graphify
- mcp
- networkx
---
# Graphify — Overview
## 💡 What is this project?
Graphify turns a folder of files into a knowledge graph. It reads the files, finds
concepts, and links them. The graph answers questions that cross many files.
I run it on my Obsidian vault. The graph holds 2,171 nodes and 2,770 edges across
128 communities. An AI agent reads the graph instead of all 134 notes.
## 🌟 Key Highlights (Portfolio & Employment)
- **Concept**: A persistent knowledge graph with an honest audit trail. Every link is tagged EXTRACTED, INFERRED, or AMBIGUOUS.
- **Tools & Skills Showcase**: Python, NetworkX community detection, an MCP server, pi extension tools, and subagent orchestration for semantic extraction.
- **Practical Value**: One query reads the graph instead of 134 files. The measured cost is 31 times fewer tokens per query.
## 📐 Architecture & Flow
```mermaid
flowchart LR
A["Obsidian vault<br/>134 notes"] --> B["detect + chunk"]
B --> C["semantic extraction<br/>pi subagents"]
C --> D["graph.json<br/>2171 nodes / 2770 edges"]
D --> E["cluster + analyze"]
E --> F["GRAPH_REPORT.md"]
E --> G["graph.html"]
D --> H["MCP server<br/>graphify-vault"]
H --> I["AI agents<br/>query_graph"]
```
## 🔗 Related Notes & Links
- **Graph data**: `/home/sam/graphify/obsidian-vault/graph.json`
- **Interactive HTML**: `/home/sam/graphify/obsidian-vault/graph.html`
- **Report**: `/home/sam/graphify/obsidian-vault/GRAPH_REPORT.md`
- **Interface**: MCP server `graphify-vault` (query from any folder), plus CLI and pi tools.
- **AI Context (Outline)**: collection `Graphify`

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@@ -20065,3 +20065,7 @@ What the watcher did, newest last.
### 2026-10-14 12:12:45
- **proposed** `Internet Use Control — Kids' Screen Time Limits.md` → `200 projects/Tools Software WebUI` (confidence 0.80)
### 2026-10-14 13:23:07
- **proposed** `Graphify.md` → `200 projects/Tools Software WebUI` (confidence 0.36)
- - Low JEV confidence — recommend human confirmation