Llm Wiki

LLM Wiki creates and maintains a workspace-local markdown research vault with immutable source preservation, linked concept pages, and automatic indexing. Designed for Obsidian compatibility, it keeps your research organized across multiple modes—init, ingest, query, and refresh—while maintaining a live maintenance log and content map.

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.

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.

Okf implements Google's Open Knowledge Format specification, letting you author structured knowledge atoms as YAML-frontmatter Markdown files organized into distributable bundles. Use it to build multi-agent context layers, publish portable knowledge that survives tool changes, and formalize LLM-wiki patterns into a vendor-neutral standard any agent can consume without translation.

LLM Wiki is a self-maintaining personal knowledge base that ingests articles, notes, PDFs, and Reddit threads into a structured wiki with automatic cross-references and contradiction detection. It supports discovery, querying, linting, and synthesis workflows to keep your knowledge organized and current.