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 build a persistent, interlinked markdown knowledge base with agent-assisted curation and automatic cross-referencing.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-28
llm-wiki helps you build a persistent, interlinked markdown knowledge base with agent-assisted curation and automatic cross-referencing. 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.
Use it when
- Yes.
- llm-wiki lets you query your compiled knowledge with cross-references and provenance information built in.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
NousResearch/hermes-agent/llm-wiki · repository language: Python
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I build a markdown knowledge base with llm-wiki?
llm-wiki lets you construct a persistent markdown knowledge base by ingesting sources—research papers, articles, notes—and having the agent synthesize them into organized wiki pages. You direct curation while llm-wiki handles summarization, cross-referencing between pages, and linking related concepts. Unlike RAG systems that rediscover knowledge per query, your wiki compiles once and stays current as you add material.
Can llm-wiki ingest sources into my wiki?
Yes. llm-wiki ingests sources and synthesizes them into organized wiki pages with cross-references and provenance tracking. You feed it research papers, articles, or notes, and the agent creates or updates markdown pages that reflect all ingested material, building a compounding knowledge base that grows with your research.
How do I query my existing knowledge base with llm-wiki?
llm-wiki lets you query your compiled knowledge with cross-references and provenance information built in. Because your wiki is persistent markdown files rather than ephemeral retrieval results, queries draw from a stable, curated foundation that reflects all prior synthesis work, not just the most recent ingestion.
Does llm-wiki audit wiki health and broken links?
Yes. llm-wiki includes auditing capabilities to check wiki health: it detects broken links, identifies orphaned pages, flags contradictions between pages, and surfaces stale content. This helps you maintain consistency and catch gaps in your knowledge base as it grows.
Can I integrate llm-wiki with Obsidian?
llm-wiki supports Obsidian integration for browsing and syncing your markdown wiki. This lets you use Obsidian's graph view and note-linking features alongside llm-wiki's synthesis and auditing, creating a seamless workflow between agent-driven curation and manual exploration.
What license does llm-wiki use?
llm-wiki is released under the MIT license, allowing free use, modification, and distribution for personal and commercial projects.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Karpathy's LLM Wiki
Build and maintain a persistent, compounding knowledge base as interlinked markdown files. Based on Andrej Karpathy's LLM Wiki pattern.
Unlike traditional RAG (which rediscovers knowledge from scratch per query), the wiki compiles knowledge once and keeps it current. Cross-references are already there. Contradictions have already been flagged. Synthesis reflects everything ingested.
Division of labor: The human curates sources and directs analysis. The agent summarizes, cross-references, files, and maintains consistency.
When This Skill Activates
Use this skill when the user: - Asks to create, build, or start a wiki or knowledge base - Asks to ingest, add, or process a source into their wiki - Asks a question and an existing wiki is present at the
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skills/research/llm-wiki/SKILL.md
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Related skills
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.
llm-wiki helps you create and maintain a compounding knowledge base as interlinked markdown files, inspired by Andrej Karpathy's pattern. Unlike traditional retrieval systems that rediscover information per query, this skill compiles knowledge once and keeps it current with built-in cross-references and contradiction detection. The agent handles summarization, filing, and maintenance while you curate sources and direct analysis.
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.
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.
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.
More skills Skill (unlicensed) · llmwiki-ingest (MIT) · karpathy-llm-wiki (MIT) · wiki-lint (MIT) · Second Brain Lint (unlicensed) · understand-knowledge (MIT) · llm-wiki (MIT) · wiki-ingest (MIT)