LLM Wikis

Jared Goering on Twitter / X

Saw this and immediately built it. Open-sourced the whole thing:Ingest URLs, PDFs, tweets, images → LLM compiles a linked markdown wiki → Q&A with citations, knowledge graph, contradiction linting, auto-research, export to HTML/PDF/slides.Been using it nonstop as a personal… https://t.co/ypaXlEA7pn pic.twitter.com/8Z2DLAyQjH— Jared Goering (@jaredgoering) April 4, 2026

OpenWiki: Open Source Repo Documentation for Coding Agents

OpenWiki generates and maintains codebase documentation so coding agents can find the repo context they need without loading everything into one instruction file.

Wiki Memory

Memory for agents is still early, with little to no standards. “Memory” means something different to everyone. But one common pattern is emerging: wiki memory.

The Definitive Guide to Understand Anything: Turning Code and Knowledge Into Graphs That Teach

You just joined a new team. The codebase is 200,000 lines of code. The original authors left a year ago. The documentation is a wiki last…

Karpathy's LLM Wiki as Agent Memory - Agentic AI Foundation (AAIF)

At work, I’m building agents to handle various operational tasks and have found Karpathy’s LLM Wiki design to be an excellent solution for implementing most ty…

WikiKV: Schema-Evolving Path-Indexed Storage for Hierarchical Knowledge Navigation

LLM-curated hierarchical knowledge bases, namely a tree-structured wiki whose nodes summarize an underlying corpus, have become a dominant substrate for retrieval-augmented applications, yet their storage layer is still treated as an implementation detail. This workload is hierarchical, query-intensive, and continuously evolving, and no existing storage model natively captures all three properties at once. We present WikiKV, a path-indexed key-value storage model purpose-built for this workload, comprising three components: (i) a data-driven schema that bootstraps the hierarchy via Intent-Anchored Schema Induction and refines it through Continuous Evolution Operators; (ii) a consistency protocol for the path-indexed storage model that precludes partial-read observations under concurrent offline rewrites without read-path locking; and (iii) a budgeted navigation operator whose search-accelerated routing reduces the expected number of LLM-assisted descent steps from d to O(1) while preserving anytime semantics with progressively refined answers. We evaluate WikiKV through real-world deployment for the WeChat Official Account AI Assistant and benchmark it against diverse baselines on the AuthTrace dataset, where it achieves balanced low per-operator latency across four query operators against relational, graph, and FS backends, and reaches 63.2% end-to-end answer correctness, exceeding multiple RAG baselines, with the gap widening on low- and high-fan-in multi-document questions. Ablation study further confirms the effectiveness of WikiKV's components.

Femke Plantinga on Twitter / X

6 LLM Knowledge Base terms you need to know in 2026:(Most teams are missing at least 3, their AI agents pay the price)𝟭. 𝗟𝗟𝗠 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲 A system where an LLM ingests your raw content, compiles a structured wiki, and answers questions by navigating its own… pic.twitter.com/dFXvBpC8hr— Femke Plantinga (@femke_plantinga) April 30, 2026

Paul Iusztin on Twitter / X

Using LLM wikis for agentic coding is pure gold. It's so powerful it feels like cheating. Here is how I used it to develop a coding harness from scratch:1. I ingested multiple coding harnesses repositories into the LLM wiki (e.g., opencode, pi, hermes, etc.) pic.twitter.com/7WE7NI9tnN— Paul Iusztin (@pauliusztin_) June 29, 2026

Vox on Twitter / X

stop just hoarding notes.you save more every week and find less every month. a thousand notes, none of them talking to each other. a better notes app won't fix that. nobody maintains the brain you built.Karpathy's 𝗟𝗟𝗠 𝗪𝗶𝗸𝗶 fixes that: don't have AI search your notes,…— Vox (@Voxyz_ai) June 29, 2026

The REAL Second Brain: an autonomous, self-hosted knowledge wiki that runs on cheap local models

How I turned Karpathy's "LLM wiki" sketch into a system that actually maintains itself — no frontier API, no human in the loop, nothing leaving my LAN.

Patina: Turning Karpathy’s LLM Wiki Pattern into a Rust CLI

Useful, local, and slightly fun. There is a simple but important idea behind Andrej Karpathy’s LLM Wiki pattern: useful synthesis should not disappear into chat history.

Automate AI Second Brain(LLM Wiki Pattern) With Claude Code and Obsidian

TLDR:Build an AI second brain with Claude Code & Obsidian. Automate daily briefings, backups & calendar sync.

Build an AI Second Brain(LLM Wiki Pattern) With Claude Code and Obsidian

TLDR:Build an AI-powered knowledge base in Obsidian. Use Claude Code slash commands to ingest, link, and query your notes into a smart…

What is LLM Wiki Pattern? Persistent Knowledge with LLM Wikis

FULL CREDIT :Andrej Karpathy

Karpathy's LLM Wiki v2: What to Keep, What to Skip

I rebuilt it, ran it daily for months, and most of the v2 hype is overkill.

How the Open Knowledge Format can improve data sharing | Google Cloud Blog

Learn how the Open Knowledge Format helps secure data sharing and improves collaboration across teams with standardized documentation.