AI Infrastructure AI Tools

Anthropic’s research preview introduces the Model Hardware Standard (MHS), a shared spec for AI agents to control physical devices and orchestrate lab or manufacturing equipment. The page explains how the standard works, shows early lab examples, and positions it as an upcoming open source standard for hardware integra

Self-hosted, Kubernetes-native platform for distributed multi-model LLM inference. It includes an OpenAI-compatible API, installer flow, and infrastructure-as-code deployment with support for air-gapped environments.

AletheionAGI is a grounding and memory layer for production AI. It adds persistent context, authorized evidence, and fail-closed delivery so AI systems can block unsupported claims before they reach users.

A GitHub repository guide to running state-of-the-art LLMs on local hardware, with concrete build notes, cost breakdowns, and runnable configs for large models.

CIYA is a deterministic storage and logic engine for LLMs, presented as a front layer that keeps AI interactions running across cloud, on-prem, and air-gapped setups.

A GitHub repository for a latency-separated AI memory retrieval and RAG system. The README describes fetch, compute, and ANN search stages, includes benchmark ranges, and exposes a public test endpoint.