Containers

A command-line tool that bulk port-forwards every Kubernetes service in a namespace to a unique local loopback IP, so local code reaches them by their in-cluster service names.

• Containers
• Networking

A Kubernetes-native, distributed inference-serving stack, backed by Red Hat, Google Cloud, IBM Research, CoreWeave and NVIDIA, that adds routing, KV-cache management and autoscaling on top of model servers such as vLLM and SGLang.

• Inference
• Containers

An open-source personal cloud operating system, built on Kubernetes, for running AI agents and LLMs on hardware a person owns and controls in plain language.

• Containers
• Hosting

A standardized, distributed inference platform for deploying both generative and predictive AI models at scale on Kubernetes, incubating under the CNCF.

• Inference
• Containers

A portable microVM runtime for running AI agents in real virtual machines with their own kernel, embeddable in an app, checkpointable, and branchable into copy-on-write clones.

• Containers

A Kubernetes operator that creates and autoscales self-hosted GitHub Actions runners as scale sets, so ephemeral, container-based runners can scale up or down with running workflows.

• CI/CD
• Containers

A Kubernetes-native orchestration platform for reliably running ML pipelines, models and AI agents at scale, defined entirely in Python.

• Data engineering
• Containers

A TypeScript library for orchestrating AI coding agents in isolated, provider-agnostic sandboxes, merging their branch commits back automatically.

• Coding agents
• Containers

A safe, private runtime for fleets of autonomous AI agents that enforces file, process and network access through kernel-level sandboxing and policy checks.

• Agent frameworks
• Containers

A virtual filesystem backed by a Durable Object's SQLite state, giving an AI agent a pluggable execution surface: a sandboxed container, an isolated shell, or isolated JavaScript.

• Agent frameworks
• Containers

An early-stage, declarative orchestration runtime from Google for running billions of autonomous agent workloads across a cluster, sandboxing each task on top of a separate 'Agent Substrate' layer.

• Agent frameworks
• Containers

A high-performance, E2B-compatible sandbox service for AI agents, built on RustVMM and KVM, creating hardware-isolated sandboxes in under 60 milliseconds with less than 5 megabytes of memory overhead.

• Containers

Open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes, with JavaScript and Python SDKs, a code-interpreter mode and a desktop SDK for computer-use agents.

• Containers

An open-source Docker Compose template, curated by n8n, that quickly sets up a local, low-code AI development environment with a workflow platform, a local LLM runner, a vector store and a database.

• Containers
• Workflow automation

A general-purpose, secure sandbox platform for AI applications, giving coding agents, GUI agents and code-execution workloads an isolated place to run with the same API from a laptop to a large cluster.

• Containers

A Docker image that runs Android emulators for app development, testing and automation, with noVNC access, adb control from outside the container, and beta support for an MCP server and AI agents.

• Testing
• Containers

A platform for automating software delivery: it builds, tests and ships code through a typed system API, with SDKs in eight languages and incremental, container-based execution.

• CI/CD
• Containers

A distributed, Kubernetes-based container platform for multi-cloud, datacenter and edge management, with built-in CI/CD, observability and service mesh.

• CI/CD
• Containers

An AI-native cloud operating system built on Kubernetes that covers the whole application lifecycle, from cloud IDE development to managed databases and one-click app deployment, with per-workspace multi-tenancy.

• Containers
• Hosting

A WebAssembly runtime that runs applications and AI agent code in sandboxed environments, with a command-line tool, an embeddable SDK for several languages, and control over file, network and environment access.

• Languages
• Containers

An open-source reference stack for running AI agents such as OpenClaw, Hermes and LangChain Deep Agents more safely inside NVIDIA OpenShell sandboxes, with managed inference and lifecycle operations.

• Agent frameworks
• Containers

An open-source toolkit that gives AI agents computers to operate: desktop automation drivers, isolated cloud desktops, local macOS VMs, specialized decision models and benchmarks for computer-use agents.

• Agent frameworks
• Containers

A tool that runs a local, single- or multi-node Kubernetes cluster on macOS, Linux or Windows for developing and testing Kubernetes applications.

• Containers

Daytona is an infrastructure runtime that provisions secure, isolated sandboxes for running AI-generated code, giving each one a full kernel, filesystem and network stack that starts in under ninety milliseconds.

• Containers