Show HN: MemHub, Turn Your GPT/Claude/Gemini History into LLM-Wiki Mindmap

The rapid adoption of LLMs creates a new challenge: managing and extracting value from extensive conversational histories. Developers and knowledge workers accumulate vast amounts of unstructured data within LLM interactions, leading to context loss and difficulty in recalling past insights or solutions. MemHub addresses this by transforming ephemeral chat logs into a structured, visual knowledge base. This directly tackles the pain point of information overload and lack of discoverability in LLM workflows. For B2B SaaS, this concept could evolve into enterprise-grade knowledge management for AI-assisted work, enabling teams to centralize and leverage collective LLM interactions, improving institutional memory and reducing redundant queries. It taps into the growing need for tools that augment human-AI collaboration and knowledge retention.