NASA

The Artificial Intelligence for Life in Space (AI4LS) team at NASA Ames uses artificial intelligence and machine learning to support and advance space exploration. This repository contains code for ongoing and completed projects. SRA#ARC-18915-1

Cumulus Framework + Cumulus API

A lightweight extensible spacecraft commanding & telemetry processing framework

Landslide Hazard Analysis for Situational Awareness

TrickHLA: An IEEE 1516 High Level Architecture (HLA) Simulation Interoperability Standard Implementation for Trick Base Simulations

An MCP (Model Context Protocol) server providing LLM agents with direct access to NASA's Common Metadata Repository (CMR).

F Prime Prime: A modeling language for F Prime

The NASA Prognostics As-A-Service (PaaS) Sandbox is a simplified implementation of a Software Oriented Architecture (SOA) for performing prognostics (estimation of time until events and future system states) of engineering systems. The PaaS Sandbox is a wrapper around the Prognostics Algorithms Package and Prognostics Models Package, allowing on…

The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.

Observational Products for End-Users from Remote Sensing Analysis (OPERA)