@nash_su: llm_wiki v0.5 released - major update: transition from RAG to Agent architecture. Chat now uses a complete agent workflow with knowledge base and modular tools...

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Summary

llm_wiki v0.5 is a major update that transitions the personal knowledge base from a RAG-based system to an agent-driven architecture, introducing modular tool calls, intelligent retrieval decisions, and a revamped UI. The project, now at 12.6k stars, incorporates features like a knowledge graph, deep research, and MCP server integration.

llm_wiki v0.5 released This update is a major functional update: llm_wiki officially transitions from a RAG-based system to an Agent-based architecture. Now, in chat conversations, the underlying process is a complete agent workflow built on a knowledge base, incorporating modular tool calls. Previously, every conversation triggered a RAG retrieval; now, it intelligently decides whether to search the knowledge base or invoke a web search. The UI has also been optimized, and future updates will continuously introduce skills and more built-in tools to make llm_wiki more powerful and intelligent. Additionally, the star count has reached 12.6k. Thank you for your support! Project: https://github.com/nashsu/llm_wiki
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Cached at: 06/24/26, 10:30 PM

A personal knowledge base that builds itself. LLM reads your documents, builds a structured wiki, and keeps it current.

What is this? • Features • Tech Stack • Installation • Credits • License

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llmwiki 是一个开源的“知识编译器”,可将论文、笔记、PDF、网页等原始材料编译成带引用溯源、审查状态和检索元数据的互链 Markdown wiki,供 agent 和人类复用。它支持混合检索(语义搜索、BM25 重排、wikilink 图扩展),并提供 CLI、本地查看器、MCP server 和 TypeScript SDK 多种访问方式。

@Huanusa: The ceiling of personal knowledge bases has arrived! This GitHub LLM Wiki project has already garnered 2800+ Stars, completely leaving ordinary RAG in the dust! It's not the useless mode of "re-retrieving" every time, but lets AI directly help you incrementally build a truly structured Wiki — compile knowledge once, and it continuously evolves...

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