@JulianGoldieSEO
šš²šæšŗš²š šš“š²š»š š·ššš š®š±š±š²š± šš»š±šæš²š· šš®šæš½š®ššµš'š ššš šŖš¶šøš¶ š®š š® šÆšš¶š¹š-š¶š» ššøš¶š¹š¹ ššµš®š šÆšš¶š¹š±š š® šøš»š¼šš¹š²š±š“š² šÆš®šš² ššµš®š š“š²šš ššŗš®šæšš²šæ š²šš²šæš šš²ššš¶š¼š». Every time you use AI for research today it starts from scratch tomorrow. This fixes that permanently. Here's how it works: ā Run: hermes update. Then type /llm_wiki followed by your research topic. ā Drop any source into your raw folder. Hermes reads it, extracts key info, and integrates it into the existing wiki automatically. ā One new source can update 10 to 15 connected pages at once. ā Ask a question. The answer gets filed back into the wiki as a new page. Your explorations compound just like your sources do. ā Ask Hermes to health-check the wiki. It finds contradictions, stale pages, and missing connections on its own. Karpathy's document got 5,000 GitHub stars in 48 hours. The idea is simple. Stop rediscovering the same information every time. Let the AI build and maintain a structured wiki that sits between you and your raw sources. Humans abandon wikis because the maintenance burden grows faster than the value. An AI agent doesn't get bored. Doesn't forget a cross reference. Touches 15 files in one pass.