Containers

AgentDock is a tool runtime that gives AI agents controlled, permissioned access to real computers, servers and containers, so a chat client such as ChatGPT can run commands, edit files, operate Git and manage Docker services across several connected machines in one conversation.

• MCP servers
• Containers

LLM Sandbox is a Python library that runs LLM-generated code inside an isolated container so it cannot touch the host system, with support for several container backends and languages plus an MCP server for clients such as Claude Desktop.

• MCP servers
• Containers

A containerized, reproducible Docker development environment for running Claude Code with pre-configured language profiles, per-project isolation, and MCP servers.

• Coding agents
• Containers

A Python framework for building, iterating on and deploying machine learning workloads on Kubernetes, bringing cluster compute into a local development workflow with fast iteration.

• Models
• Containers

A self-hosted, E2B-compatible sandbox platform for AI agents where sandboxes persist indefinitely and cost nothing while idle, instead of being disposable cloud sandboxes billed by the second.

• Agent frameworks
• Containers

A self-hosted cloud platform that packages a Kubernetes cluster, an app store, GPU-backed local AI models and cloud development environments into a single downloadable binary.

• Containers
• Hosting

A CNCF open-source DevOps tool that packages and versions AI/ML models, datasets, code and configuration as a single OCI artifact, storable in any existing container registry.

• CI/CD
• Containers

A Docker CLI plugin and gateway that runs Model Context Protocol servers as isolated containers, giving every AI client in an organization one consistent, secured connection point.

• MCP servers
• Containers

A native local-development system for Apple Silicon combining Docker, Compose, one-click Kubernetes, full graphical Linux virtual machines and policy-bound coding-agent sandboxes, without requiring Docker Desktop.

• Containers

A Model Context Protocol server that connects to a Kubernetes cluster and lets an AI agent manage it through kubectl and Helm, loading credentials from the usual kubeconfig sources.

• MCP servers
• Containers

An open-source, self-hostable runtime for serverless AI workloads that gives a Pythonic interface for fast-starting GPU containers, autoscaling inference endpoints, sandboxed code execution and background task queues.

• Containers
• Hosting

An open-source agent that runs continuously on your own machines to keep applications running, generate infrastructure code, debug Kubernetes and automate deployments, only pinging a human when it needs one.

• CI/CD
• Containers

A Kubernetes-native control plane for provisioning, governing and monitoring AI agent instances across a team, with an AI gateway and security protections.

• LLM gateways
• Containers

An open-source, single-binary Kubernetes dashboard for managing multiple clusters from one browser interface, with optional AI-assisted troubleshooting and configuration help.

• Containers
• Monitoring

A native Go MCP server that lets AI assistants operate Kubernetes and OpenShift clusters directly through the API server: generic resource CRUD, pod operations, Helm releases, and Tekton pipeline management.

• MCP servers
• Containers

An open-source platform that runs every MCP server in an isolated container, enforces identity and access policy per request, and gives platform teams a Kubernetes operator and audit logs for running MCP in production.

• MCP servers
• Containers

A Kubernetes-native platform for distributed AI model training and large language model fine-tuning, orchestrating multi-node, multi-GPU jobs across frameworks such as PyTorch, JAX, HuggingFace and Megatron-LM.

• Models
• Containers

Docker images and startup scripts for running the vLLM inference engine on NVIDIA DGX Spark hardware, from a single node to multi-node clusters over InfiniBand or RDMA.

• Inference
• Containers

A containerized AI development workstation that bundles Claude Code, a web UI, a headless browser configured with Playwright, eight other AI CLIs, and more than 50 development tools, launched with a single Docker Compose command using an existing Claude subscription or API key.

• Coding agents
• Containers

A reference implementation for deploying vLLM at cluster scale on Kubernetes, adding request routing, KV-cache offloading, and observability without changing application code.

• Inference
• Containers

A lightweight, open-source Kubernetes workspace for multi-cluster operations, observability and access control, with an AI assistant for troubleshooting that respects the user's own RBAC permissions.

• Containers
• Monitoring

A single-binary, open-source Kubernetes UI that shows topology, resources, GitOps state and live traffic, and exposes a built-in MCP server so AI agents can inspect and operate a cluster.

• MCP servers
• Containers

A Kubernetes-native framework for building, deploying and managing AI agents as Kubernetes custom resources.

• Agent frameworks
• Containers

A lightweight companion Docker container that backs up Docker volumes on a schedule or on demand to local storage or to S3, WebDAV, Azure Blob, Dropbox, Google Drive, or SSH destinations.

• Containers