reading-assistant

#reading-assistant

@i5ting: Three approaches to implementing digital employees: 1) Alibaba/Tencent-style: running in Docker with full permissions, limited by Docker, can only solve 20% of needs at best. I don't like this. 2) IM-based: putting the agent in contacts like bloome, running on PC, sharing environment and context with the host, etc.

X AI KOLs Timeline ↗ · 2026-07-11 Cached

In a tweet thread, three approaches to implementing digital employees are discussed: running in Docker, IM-based agents (e.g., bloome), and digital twin-based solutions (e.g., WisMe.ai). It also introduces WisMe.ai as a personal AI knowledge base and reading assistant product.

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#reading-assistant

@nash_su: http://WisMe.ai Knowledge Graph Feature Update. The old version had poor readability and performance issues when content became too large. After the update, it remains smooth even with hundreds or thousands of nodes. Meanwhile, the clustering function is more practical, and it also calls LLM for information summarization, making search and browsing more convenient and efficient. Harness …

X AI KOLs Timeline ↗ · 2026-06-18 Cached

WisMe.ai updates its knowledge graph functionality for better performance with hundreds to thousands of nodes, improved clustering, and LLM-powered summarization for more efficient search and browsing.

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