Docker on SoloSoft

Agent Sandbox: All-in-One Sandbox for AI Agents with Browser, Shell, and VSCode

Fri, 01 May 2026 00:00:00 +0000

AI agents need environments to execute in – places to run code, browse the web, edit files, and interact with tools. Building these environments from scratch for each agent platform is tedious and error-prone. Agent Sandbox solves this by providing a complete, pre-configured Docker sandbox that combines a browser, shell, file system, MCP server, and VSCode Server in a single containerized workspace.

Developed by agent-infra, Agent Sandbox is designed as the execution environment for AI agents that need to perform real-world tasks. Instead of cobbling together separate tools for browser automation, code execution, and file management, developers get a unified sandbox with all of these capabilities pre-integrated and ready to use.

Dockerc: Compile Docker Container Images into Standalone Portable Binaries

Fri, 01 May 2026 00:00:00 +0000

Docker containers solved the “it works on my machine” problem, but they introduced a new one: “it works on my machine with Docker installed.” Containers require the Docker daemon, containerd, or at minimum a container runtime. For distributing command-line tools, desktop applications, or deployment artifacts, this dependency is a burden. Dockerc takes a radically different approach – it compiles entire Docker images into standalone binary executables.

Written in Zig and available at github.com/NilsIrl/dockerc, Dockerc reads a Docker image’s layers and produces a single, self-contained binary that embeds the filesystem, entry point, and runtime configuration. When executed, the binary unpacks itself into an in-memory filesystem (via tmpfs), sets up the process namespace, and runs the application. No Docker, no containerd, no root privileges required.

Harbor: One-Command Containerized LLM Stack for Local AI Development

Fri, 01 May 2026 00:00:00 +0000

The explosion of local AI tools has created a new problem: setting up a complete local AI development environment means installing and configuring multiple independent services, each with its own dependencies, configuration, and networking requirements. Harbor solves this with a single docker compose up command that spins up an entire pre-wired AI stack on your local machine.

Developed as an open-source project, Harbor packages the most popular local AI tools into a cohesive, containerized stack. With one command, you get Ollama serving local LLMs, Open WebUI providing a ChatGPT-compatible chat interface, ComfyUI for image generation workflows, and optional components like ChromaDB for vector storage, PostgreSQL for persistence, and various monitoring and management tools.