llm-wiki

llm-wiki lets you construct and maintain a compounding knowledge base as organized markdown files, with the agent handling summarization, cross-referencing, and consistency checks while you direct curation. Unlike RAG systems that rediscover knowledge per query, your wiki compiles once and stays current, with contradictions flagged and synthesis reflecting all ingested material.

Llm Wiki helps you create and sustain a markdown-based knowledge repository where an LLM handles ongoing maintenance and synthesis. Ingest raw sources—articles, papers, transcripts, screenshots—into immutable storage, then let the agent populate wiki pages, cross-links, and navigation files. Periodic lint passes keep the vault healthy and coherent.

llm-wiki creates and updates a structured markdown documentation system for any codebase, storing it in a `.llm-wiki/` directory at your project root. It handles reconnaissance, skeleton generation, article writing, cross-linking, and linting—letting humans direct while the LLM manages the bookkeeping. The wiki compounds over time as your codebase evolves, capturing architecture, modules, concepts, APIs, and guides in an interlinked format.

Create a compounding knowledge base—a workspace wiki of plain markdown pages linked together with wikilinks, designed to grow denser and more interconnected as you add sources. Ingest articles, documents, and notes into versioned raw files, then synthesize them into organized pages with frontmatter, cross-references, and provenance tracking. Run automated linting to catch broken links, orphaned pages, and schema drift, keeping your knowledge graph clean and queryable.

Second Brain Ingest processes raw source documents into organized wiki pages, automatically identifying and linking entities, concepts, and related topics. It guides you through extracting key takeaways, creating source summaries, and updating your knowledge graph with new information while flagging contradictions with existing content.

Transform loose content into a living knowledge base by ingesting articles, documents, or notes into organized wiki pages. The skill automatically extracts concepts, products, and patterns, creates interconnected pages with cross-references, and maintains a searchable index—all while preventing duplicates and keeping your knowledge network coherent.