llmwikiLLM-powered personal knowledge base. Raw documents in, an LLM compiles them into a structured interlinked wiki with trilingual articles, emergent taxonomy, a...
Install via ClawdBot CLI:
clawdbot install hosuke/llmwikiGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains telemetry, tracking, or analytics calls not mentioned in documentation
telemetry**: llmwiki sendCalls external URL not in known-safe list
https://github.com/Hosuke/llmbaseUses known external API (expected, informational)
api.openai.comAudited Apr 17, 2026 · audit v1.0
Generated May 23, 2026
A researcher ingests academic papers and web articles into a local wiki, then compiles them into interlinked summaries. The LLM-powered query feature provides deep research answers, linking new insights to existing knowledge.
A startup uses llmwiki to ingest internal documents, meeting notes, and technical specs. The autonomous worker compiles and updates the wiki periodically, while employees query it via web UI or MCP for quick answers.
A global team compiles documentation in English, Chinese, and Japanese. The self-healing feature maintains cross-references and aliases, ensuring consistent access across languages.
An individual sets up a daily routine to ingest articles, compile new knowledge, and query for connections. Over time, the wiki grows into a personalized second brain that compunds knowledge.
A consultant in a niche field (e.g., climate tech) feeds reports, standards, and case studies into llmwiki. The system builds a structured wiki, enabling rapid retrieval and synthesis for client projects.
Offer llmwiki as a free open-source tool for self-hosting. Provide a paid cloud-hosted version with automatic backups, larger storage, and priority support.
License llmwiki as an add-on for enterprise platforms (e.g., Confluence, Notion) to enhance their knowledge bases with LLM-powered compilation and self-healing.
Offer consulting services to build and configure custom llmwiki instances for organizations, including ingestion pipeline setup, taxonomy design, and training.
💬 Integration Tip
For teams, integrate with existing workflows by using the MCP server to allow AI coding assistants (like Claude) to query and update the knowledge base directly from the development environment.
Scored Jul 6, 2026
Work with Obsidian vaults (plain Markdown notes) and automate via notesmd-cli.
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
LinkHut bookmark management API integration with managed OAuth. Save, organize, search, and manage bookmarks with tags, notes, and privacy settings. Use this...
Manage a personal knowledge base by adding, searching, organizing, and reviewing articles, links, and notes with tags and natural language queries.
Generate a daily work report by automatically discovering all git repositories the user worked on, collecting commit logs across all branches, and summarizin...
把一本书里沉淀的方法论蒸馏成一组原子化、可被Agent调用的skills,同时产出给人看的笔记和话术库。触发:用户说'帮我拆《XX》''把XX蒸馏成skill''distill this book into skills'时。不做书摘/读后感/作者人设角色扮演。