Has anyone here actually built a persistent research wiki instead of re-reading the same papers every week?

Research workflow question for people who work with papers, docs, or long-running investigations: A lot of AI tooling still feels great at producing answers and bad at preserving understanding. You upload a pile of material, ask a few questions, get decent output, and then the next session starts from near-zero again. What seems interesting is compiling raw sources into a persistent markdown wiki that keeps structure, links concepts together, and gets better when useful answers are saved back into it. That is why AtomicMem / llm-wiki-compiler caught my attention.