







Foundation learns from your agent sessions and maintains a self-improving wiki of everything you and your team know.
I Built a Knowledge Base That Writes Itself. Here Is What Andrej Karpathy Got Right.
Andrej Karpathy posted about using LLMs to build personal knowledge bases. I took his workflow, wired it into my Obsidian vault with Claude Code, and within an hour had 21 cross-linked wiki articles compiled from YouTube transcripts. Here is how it works and why it matters.

How to Build an LLM Knowledge Base
A hands-on guide to building a simple LLM knowledge base with raw markdown sources, a compiled wiki, reusable prompts, and an agent that keeps improving the knowledge base over time.

Modal Foundation
Supporting decentralized social tech and open standards to create trustworthy, public-interest social media alternatives and ensure access to vital information.

Typst: The new foundation for documents
Typst is the new foundation for documents. Sign up now and experience limitless power to write, create, and automate anything that you can fit on a page.

Outline – Team knowledge base & wiki
A modern team knowledge base for your internal documentation, product specs, support answers, meeting notes, onboarding, & more…

Announcing the Modal Foundation - Updates from the Modal Foundation
We're a nonprofit dedicated to supporting decentralized social technologies that help people create, circulate and discover trustworthy information.

How To Build LLM Wiki In Obsidian? 🧠 A Memory Layer For Any Agentic AI
LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory
LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory · GitHub

Wiki Builder: A Claude Code Plugin for Building LLM Knowledge Bases
Wiki Builder is an open-source Claude Code plugin that turns the LLM-knowledge-base workflow into a one-command setup. Scaffold a configurable wiki, point Claude at sources, and let the agent compile durable pages, indexes, and concept maps for you.

DataRater: Meta-Learned Dataset Curation
The quality of foundation models depends heavily on their training data. Consequently, great efforts have been put into dataset curation. Yet most approaches rely on manual tuning of...

Foundational research — Passing the Message Stick
We can build widespread support for self-determination and justice when we lead with our strength and solutions.


Foundation Interface Lab
Pluralis Research
Protocol Learning — decentralized, communication-efficient model-parallel training for foundation models.