docs/models.md at main

Inference Cooperative — AI, governed together

A member-governed cooperative for AI inference. Direct the models, the values, and the direction — together.

knowledgespace.md

knowledgespace.md · GitHub

uzu - Mirai Docs

Inference engine

Getting started - Docs

Discourse Graphs are a tool and ecosystem for collaborative knowledge synthesis, enabling researchers to map ideas and arguments in a modular, composable graph format.

Full featured documentation deployment platform

Read the Docs is a documentation building and hosting platform aimed at helping developers creating documentation from code with versioned documentation, integrated search, pull request previews and more.

Dria on Twitter / X

Introducing Inference Arena v2.0.An agentic experience that searches, analyzes, and delivers insights about LLM inference.When we first launched, our goal was simple: make it easier for developers to compare models, engines, and hardware without digging through scattered… pic.twitter.com/fgWgos48lW— Dria (@driaforall) September 30, 2025

Planetary-Scale Inference: Building a Distributed Inference Engine for the Public Internet

We are excited to share a preview of our distributed inference stack — engineered for consumer GPUs and the 100ms latencies of the public internet—plus a research roadmap that scales it into a planetary-scale inference engine.

docs/docs/index.md at main · ards-project/docs

Agentic Resource Discovery (ARD) specification — documentation site - ards-project/docs

DOCS.md at main · danabra.mov/typelex

An experimental TypeSpec syntax for Lexicon

docuowl/docuowl

🦉 A documentation generator

Docs as Code: The Best Guide for Technical Writers

Recently, my work has involved writing a lot of documentation and. Doing this has introduced me to...

Ground the model, or it invents the evidence

Trusted, curated, subject-specific models are needed for academia

NLnet; Nanoarguments

Scientific knowledge is currently scattered across papers, repositories, and disconnected platforms, with no structured way to trace how claims connect to evidence or how arguments develop. Nanoarguments builds a framework and tools for creating, browsing, and contributing to a global, federated graph of scientific discourse and evidence. Researchers and their communities can collaboratively structure claims, evidence chains, and discussion as nanopublications, which are small, cryptographically signed Linked Data snippets with precise provenance and authorship, published to a decentralized peer-to-peer network. The project builds upon the Nanodash interface to help users browse, edit, and aggregate discourse and evidence graphs, and integrates with dokieli to enable in-context authoring of nanopublications as inline annotations while reading or writing a document. A bidirectional ActivityPub connector bridges the nanopublication network and the fediverse, allowing discourse threads to start as social exchanges and crystallize into persistent, machine-readable evidence records. The project will be piloted with early adopter research groups in discourse and evidence modeling. All components will be released as open-source modules that other systems can build upon.

DeepWiki | AI documentation you can talk to, for every repo

DeepWiki provides up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub - powered by Devin.

Docs — Turn your team's content into knowledge

Docs is the open-source document editor that turns your team's content into knowledge: real-time collaboration, structured knowledge, and full data ownership. Self-host it anywhere, or try a public instance in seconds.