@nash_su: llm_wiki v0.4.13 released, total stars exceed 9k+! Thank you all for your support. This version primarily fixes various bugs and merges many PRs. Contributions from the open source community are increasing. Thank you all very much. https://github.com/nashsu/llm_…
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llm_wiki v0.4.13 released, primarily fixes bugs and merges community PRs, project stars exceed 9k+.
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Cached at: 05/24/26, 02:34 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
English | Chinese | Japanese
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@nash_su: llm_wiki v0.4.11 released with Star count exceeding 8k. Main features: - New local API Server for accessing project files, search, relationship graph data, and data rescan via API. Configurable in settings. With Skill, it can integrate with various Agents…
llm_wiki v0.4.11 released, adds local API Server supporting Agent integration, unified search backend, new knowledge graph search feature, Star count exceeds 8k.
@nash_su: llm_wiki v0.4.16 版本更新发布 大幅提升了知识图谱的渲染性能，浏览搜索更加流畅。 https://github.com/nashsu/llm_wiki
llm_wiki v0.4.16 版本更新发布，大幅提升了知识图谱的渲染性能，浏览搜索更加流畅。
@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...
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.
@nash_su: llm_wiki v0.4.14 released with two main updates: - Optimized analysis of long content files, added intelligent chunk split and contextual association analysis, ensuring long texts don't lose global information even when sliced. - DeepResearch now supports AnyTxt …
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@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...
LLM Wiki is an open-source desktop application that uses LLM to incrementally build a structured knowledge base, supporting knowledge graphs, community detection, Obsidian integration, and Chrome clipping, aiming to replace traditional RAG approaches.