LOCAL-FIRST · 2,489 conversations · 0 cloud calls
I compiled my own ChatGPT
into a behavior graph.
The Sovereign Knowledge Compiler reads every conversation export, runs a local LLM (deepreinforce-ai_Ornith-1.0-35B-Q4_K_M.gguf) to distill themes and surface the why, and stores the result as a static, inspectable artifact. This page is the live proof — built entirely from what it generated. No data leaves your machine at runtime.
compiled in 2163.8s · model deepreinforce-ai_Ornith-1.0-35B-Q4_K_M.gguf · 2,489 conversations → 120 themes · 2023-03-12 → 2026-07-16
2,489
conversations compiled
19,435
message turns
45
multimodal chats
441
forked threads
120
explored themes
59
images extracted
Conversation Graph · 3D
drag to rotate · scroll to zoom · hover a nodenodes = conversations + themes · size = turns / frequency · edge = belongs-to / co-occurs · color = theme
Themes explored
Activity over time
■ conversations■ turnsper month
Deepest conversations
Ranked by derived importance: turn depth + thread forks + multimodal − archived. The "what I kept coming back to" signal.
A note on sovereignty
This graph was compiled from a raw ChatGPT export that left OpenAI's servers and became your artifact. The reasoning happened once, at compile time; this page only reads static files. Nothing is sent anywhere when you browse it.