l-zhi/pith-wiki

Local-first AI knowledge base for PDFs, Office docs, web clips and Markdown notes — ask your whole library and get citations that jump back to the source. Vectorless RAG, wikilinks, local Codex/Claude agents.

LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。

A local-first AI knowledge base & NotebookLM alternative built with Electron.

A local personal knowledge base on SeekDB.

The bridge between human-readable wikis and machine-speed memory. Built on Karpathys LLM Wiki pattern + Memvid.

Turn your documents into a Markdown wiki you can read, that answers with citations. Works with any LLM provider, Ollama included. CROW classifier routing: 89% right note vs 62%, 2.1× faster ingest, 68% fewer tokens.

Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinforced memory. Importantly use selected context to automatically generate skills, empowered by Claude subagents + CodeAct pipeline and gated by human review. **Try Live Demo**: https://byo-wiki-demo.vercel.app

Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.

Kenjaku is a Karpathy-style LLM wiki, reinforced where it counts with battle-tested software (including a local RAG).