Cross-Platform Micro-VM Sandbox for Agentic Workloads
Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the installer, and the local dev environment.
FlashRT is a high-performance realtime inference engine for small-batch, latency-sensitive AI workloads. The flagship integration is production VLA control for Pi0, Pi0.5, GROOT N1.6, and Pi0-FAST. Also support llm e.g, qwen3.6-27B
Modern networking and security platform providing secure access and connectivity to apps, infrastructure, and AI workloads. Connect and protect your users.
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
An egress firewall for untrusted workloads.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
MongoDB-compatible database engine for cloud-native and open-source workloads. Built for scalability, performance, and developer productivity.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
Agentshield is open source defense for Kubernetes and AWS. It learns how your workloads really talk, flags lateral movement with evidence, and proposes fixes you approve.
A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
Matchlock secures AI agent workloads with a Linux-based sandbox.
The Enterprise-grade Control Plane for modern agentic workloads
Slurm: A Highly Scalable Workload Manager
Automated management of large-scale applications on Kubernetes (incubating project under CNCF)
OceanBase is the unified distributed database for the AI era β open-source, multi-model, one engine for your most demanding workloads.
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Cerbos is an open-core authorization management platform for authorizing every identity and governing every action across applications, gateways, workloads, and AI agents.
An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Cost monitoring for Kubernetes workloads and cloud costs
Rivet Actors are the primitive for stateful workloads. Built for AI agents, collaborative apps, and durable execution.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
Kepler (Kubernetes-based Efficient Power Level Exporter) is a Prometheus exporter that measures energy consumption at the Kubernetes Pod and Node level. It reads hardware sensors, attributes power to containers, and gives per-workload visibility into where energy goes. Let's make every watt matter.
Edge.js is a secure JavaScript runtime, designed for Edge computing and AI workloads
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems. Live support: https://discord.com/invite/GH5kRgv6ZD
Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads
Scientific rover built through SolidCraft MCP: editable CAD, website and splash artwork, videos, and a reproducible performance workload.
Open-source load testing and benchmarking tools for SQL Server, Azure SQL, and SQL database in Microsoft Fabric: sqlsim, sqlpysim, and sqlsim Studio
A popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Cruise-control is the first of its kind to fully automate the dynamic workload rebalance and self-healing of a Kafka cluster. It provides great value to Kafka users by simplifying the operation of Kafka clusters.
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LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search β powering next-generation BI and AI workloads.
Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.
A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.
Venice, Derived Data Platform for Planet-Scale Workloads.
Add-on for KEDA to scale HTTP workloads
vArmor is a cloud-native container hardening system that leverages AppArmor/BPF/Seccomp and NetworkProxy technologies to enforce access control from system calls to application protocols β protecting workloads including AI Agents.
vLLM based inference framework for agentic workload.
Agent-orca orchestrates and manages AI agent workloads in Kubernetes, providing distributed execution, model routing, knowledge integration, and tool access through MCP and stdio tools.
HBFSim (HBF Sim): an open-source High-Bandwidth Flash (HBF) simulator. Runs real LLM inference on a real GPU and injects modeled HBF timing, capacity and thermal effects while the workload executes.
Best-effort high availability for single-replica Kubernetes workloads: no downtime from announced node disruptions (drains, upgrades, consolidation, spot reclaims) without a standing second replica.
KAI Resource Management is an open source Kubernetes-native resource management layer for KAI Scheduler, adding projects, departments, node pools, queues, and workload placement at scale.
Qwen3.8-27B INT8/W8A8 optimization for Hygon K100AI: SGLang, TP1/TP4, DFlash2 and long-context Agent workloads
The Modern Application Platform.
Apache BookKeeper - a scalable, fault tolerant and low latency storage service optimized for append-only workloads
Deploy workloads from Git to large fleets of Kubernetes clusters
Facilitates running Wasm / WASI workloads managed by containerd
CLI for determining the cost of Kubernetes workloads