graphify

Simply put, it's a "file organizer". You dump code, docs, even videos and images into it, and it automatically maps out the connections, letting you see how the whole project works at a glance.

No need to read from scratch when taking over messy code, or hunting through endless PDFs for research. It turns scattered info into a structured graph, helping you quickly find answers like "why was this designed this way" while saving massive reading time.

Newcomers taking over projects, researchers organizing massive amounts of papers, and any developer overwhelmed by messy files.

1. Quickly understanding the architecture of an unfamiliar codebase.

2. Integrating papers, screenshots, and code notes into a queryable knowledge base.

3. Auditing legacy projects to find hidden dependencies between modules.

4. Pairing with AI coding assistants to give them better project context.

It handles video and audio (auto-transcription), the generated graph is persistent (no need to recalculate every time), and it's honest about what it guessed versus what was actually in the source.

Requires Python 3.11 environment, preferably a Claude or similar LLM API Key, primarily command-line operation, no extra server deployment needed.