Stars
The best-benchmarked open-source AI memory system. And it's free.
Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes
A cloud-agnostic Kubernetes node autoscaler that dynamically scales infrastructure across Azure and emerging neoclouds like Nebius—managed from a single control plane.
Rally your AI squad to GitHub issues and PRs via git worktrees
💫 Toolkit to help you get started with Spec-Driven Development
Inspektor Gadget is a set of tools and framework for data collection and system inspection on Kubernetes clusters and Linux hosts using eBPF
Discover ingress-nginx usage and auto-generate Gateway API migration plans before ingress-nginx reaches end-of-life (March 2026).
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
A sample pack of GitHub Agentic Workflows!
Achieve state of the art inference performance with modern accelerators on Kubernetes
Wassette: A security-oriented runtime that runs WebAssembly Components via MCP
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Next Generation Agentic Proxy for AI Agents and MCP servers
Home of the out-of-tree KAITO plugin for Headlamp Kubernetes UI
The Security Toolkit for LLM Interactions
Set of tools to assess and improve LLM security.
A comprehensive social media management tool designed to help you create, format, and post content across multiple platforms including LinkedIn, Twitter/X, Bluesky, and Mastodon. Features advanced …
Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton
OPA Gatekeeper provider for GitHub Artifact Attestations
This repositories contains examples and best practices for AI workloads on Azure
Main reference implementation for NLWeb, implemented in Python.