Floneum is a graph editor for local LLM workflows.
Patrick Collison on Twitter / X
I want some kind of LLM workflow tool.• Ability to manage a set of input files (Markdown or similar), plus other general-purpose context.• With real-time collaboration. (And maybe some concept of snapshots or VCS integration.)• And the ability to create/manage a inference…— Patrick Collison (@patrickc) June 6, 2026
Documentation — Terminal Graph
Download Terminal Graph beta, learn the shortcuts, nodes, and dataflow model.
Who needs Graphviz when you can build it yourself?
Exploring a new layout algorithm for control flow graphs.
An LLM's Perspective: What It's Actually Like to Receive These Instructions | Notion
graph TB subgraph
Karpathy's LLM Wiki: The Complete Guide to His Idea File
Karpathy's follow-up gist went viral. Complete breakdown with implementation examples.
10 Easy Ways to Enhance Your LLM Wiki or Knowledge Base
Living documents and interactive schematics — Selin Jessa
Using LLMs to turn static figures from data analysis, schematics, and publications into interactive widgets as tools for thought
Yuchen Jin on Twitter / X
Karpathy’s “LLM Wiki” pattern: stop using LLMs as search engines over your docs. Use them as tireless knowledge engineers who compile, cross-reference, and maintain a living wiki. Humans curate and think.Diagram generated by my Claude agent knowledge worker. https://t.co/5u5i1GeFK8 pic.twitter.com/NIaq3KlAok— Yuchen Jin (@Yuchenj_UW) April 4, 2026
Terminal Graph — A spatial development environment for macOS
See everything. Switch nothing. Terminals, browsers, editors, and notes on one infinite canvas with dataflow connections. Native macOS.
Sigma.js
a JavaScript library aimed at visualizing graphs of thousands of nodes and edges
Wikipedia:LLM-assisted translation
This guideline applies to machine translation tools that include a large language model ("LLM"). Assume that it applies to any online translation tool unless you have confirmed there is no LLM element.
distil labs — Replace LLMs with Custom Small Language Models
Train and deploy custom small language models that are faster, cheaper, and just as accurate as LLMs.
One of the best examples of LLM developer tooling I've heard is from a team that supports software from the 80s-90s. Their only source of documentation is *video interviews* with retired employees. So they feed them into transcription software and get summarized searchable notes out the other end.
