Containarium logo
Containarium
★ 310
vs
DebugMCP logo
DebugMCP
★ 573

Containarium vs DebugMCP

Containarium: Containarium is an open-source, self-hostable, agent-native sandbox that provides persistent, isolated, and real Linux environments for AI agents to build, install, deploy, and verify their work. It runs as a single-host platform using LXC containers, exposing its administration via MCP and CLI, and includes an in-container MCP server for direct shell execution and file operations.; DebugMCP: DebugMCP empowers AI coding agents with full control over the VS Code debugger, allowing them to autonomously set breakpoints, step through code, inspect variables, and evaluate expressions. It runs 100% locally, requires zero configuration, and works seamlessly with any MCP-compatible AI assistant across various programming languages.

01

TL;DR

Containarium logo
ContainariumDev Tooling · ★ 310

AI-agent sandboxes for development, testing, and deployment.

DebugMCP logo
DebugMCPDev Tooling · ★ 573

Automating root cause analysis for code issues by enabling AI agents to interact with the debugger directly.

02

Side-by-Side Comparison

Field
Containarium logoContainarium
DebugMCP logoDebugMCP
Category
Dev Tooling
Dev Tooling
Stars
★ 310
★ 573
License
Apache-2.0
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/footprintai/containarium/main/hacks/install.sh | sudo bash
vscode:extension/ozzafar.debugmcpextension
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
AI Agents, Sandbox, Self-hosting
AI Agents, Debugging, VS Code Extension
03

Features

Containarium logoContainarium
01Agent-native sandboxes for AI agents (Cursor, Claude Code, OpenCode) with persistent state and real Linux environments.
02Self-hostable platform supporting multiple operating systems (Ubuntu, Rocky Linux, RHEL, Windows Server) and GPU passthrough.
03Unified API and CLI for container lifecycle management, port exposure, and SSH configuration.
04Robust security primitives including unprivileged LXC, per-user proxy accounts, JWT authentication with RBAC, and audit logs.
05Experimental Kubernetes backend to run agent boxes as pods in existing Kubernetes clusters.
DebugMCP logoDebugMCP
01AI-powered debugging capabilities including setting breakpoints, stepping through code, inspecting variables, and evaluating expressions.
02Cross-agent 'debug-live' skill installation for systematic debugging workflows, discoverable by various AI agent harnesses.
03Support for pausing running programs at current location even without breakpoints, enabling inspection of state.
04Robust debugging via VS Code Testing API, ensuring consistent breakpoint hits in individual test cases.
05Secure communication, local operation, state validation, and secret redaction for enhanced reliability and privacy.
04

Use Cases

Containarium logoContainarium
↳AI-agent sandboxes for development, testing, and deployment.
↳Shared developer environments with per-user isolation on a single host.
↳ML / GPU experimentation environments with PCI-level GPU passthrough.
↳CI / build infrastructure with long-lived build hosts and warm caches.
↳Education, bootcamps, and workshops requiring isolated Linux environments per student.
DebugMCP logoDebugMCP
↳Automating root cause analysis for code issues by enabling AI agents to interact with the debugger directly.
↳Streamlining the debugging of unit tests across different languages by launching tests via the VS Code Testing API.
↳Enabling AI agents to efficiently understand execution flow, variable states, and expressions in complex applications.
↳Providing an interactive debugging experience for AI assistants, mimicking human developer workflows in VS Code.
↳Diagnosing issues in busy loops or embedded systems by pausing execution at any point to inspect state.
05

Best For

Containarium logoContainarium
Hidden Gem
DebugMCP logoDebugMCP
TrendingHidden Gem
FAQ

FAQ

What is the difference between Containarium and DebugMCP?
Both Containarium and DebugMCP are in the Dev Tooling category. Containarium has 310 stars, while DebugMCP has 573 stars.
Which is better, Containarium or DebugMCP?
The best choice depends on your use case. Choose Containarium if AI-agent sandboxes for development, testing, and deployment., and DebugMCP if Automating root cause analysis for code issues by enabling AI agents to interact with the debugger directly..
Is Containarium free or open source?
Yes, Containarium is open source on GitHub (Apache-2.0).
Is DebugMCP free or open source?
Yes, DebugMCP is open source on GitHub (MIT).
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