Doop vs Stakpak 3.0 CLI: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Doop and Stakpak 3.0 CLI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Doop

Kevin Goedecke

Free

Open-source infinite design canvas where humans and AI agents design together live, with agents joining through a built-in MCP server.

Agent-Native MCP Canvas: Agents connect over an HTTP MCP endpoint with a single command and one browser OAuth approval, then edit the canvas as you, attributed and accountable, with no API keys handed over.
Streaming Frames: Every section an agent writes renders on the canvas the moment it lands, so you watch the design arrive rather than waiting on a spinner.
Comments as Tasks: A note left anywhere on the canvas becomes a task the right agent picks up, works on, and replies to with a screenshot, turning feedback directly into the backlog.
Agent Self-Review: A built-in headless renderer gives agents screenshots of their own frames so they judge fit, spacing and contrast like a senior designer and correct issues before handoff.
Shared Canvas Memory: Tasks, decisions and comments live on the canvas rather than in one agent's context, so any agent that joins later plugs into the same state and continues.
Learned Taste Profile: Casual feedback such as 'rounder corners' or 'keep it to the blue' is distilled into a persistent taste profile applied to every new frame and inherited by every agent.
Live Export URLs: Each frame is a URL that can be embedded in a doc, a post or an og:image and re-renders whenever the design changes, so shared assets never go stale.
Reference and URL Import: Paste screenshots to have agents distill palette, type and mood into a written brief, or paste a public URL to land an editable snapshot of your existing page on the canvas for side-by-side variants.

Agent-Assisted Landing Pages: Steering Claude Code or Codex through hero, pricing and footer frames on one canvas and watching each render live.
Design Review Loops: Leaving contrast or spacing notes on a frame and letting an agent apply the fix and return a screenshot without a synchronous handoff.
Redesign Comparison: Importing an existing public page as an editable snapshot so agent-generated variants sit next to the original instead of replacing it blind.
Team Design Sessions: Multiple people and multiple agents working the same canvas, each seeing what the others' agents are doing in real time.
Style Consistency: Building a canvas taste profile once so every subsequent frame and every new agent inherits the same corner radius, palette and type decisions.
Always-Fresh Shared Assets: Embedding live frame URLs in documentation or social posts so the shared image updates automatically when the design changes.

Stakpak (open-source project)

Free

Open-source Rust-based CLI DevOps agent that uses AI to secure, deploy, and maintain production infrastructure from your terminal.

Terminal Agent Interface: Provides a command-line, conversational interface that interprets developer instructions and automates DevOps tasks directly from the terminal.
Rust-based CLI: Implemented in Rust for performance and safety, enabling a lightweight, fast, and locally runnable agent suitable for developer workstations and CI environments.
AI-driven Command Understanding: Uses AI to parse intent from natural-language or shorthand commands, translating them into reproducible infrastructure actions and deployment steps.
Secure Deployment Automation: Automates secure deployment flows and configuration steps to reduce manual errors and help maintain production-ready infrastructure.
Infrastructure Management: Lets developers provision, configure, and manage infrastructure resources from the CLI, abstracting complex configuration details.
Open-source Extensibility: Source code and tooling available in a public repository, enabling customization, community contributions, and auditability of behaviors.
Terminal-first CLI agent for DevOps workflows
Deployment automation from the command line
Infrastructure security checks and hardening guidance
Maintenance and runtime management of production infra
Generates or enhances infrastructure-as-code (integration with Continue)
Open-source codebase hosted on GitHub (stakpak/agent)
Implemented in Rust for cross-platform native binaries and performance

Terminal-first Deployments: Developers deploy web services and applications directly from their local terminal using natural-language or scripted commands without hand-editing complex infra configs.
Automated Secure Configurations: Teams apply security-focused deployment checks and automations to ensure infrastructure follows best practices before rolling to production.
Maintenance and Runbook Automation: Engineers automate routine maintenance tasks (scaling, rollbacks, patching) via the CLI agent to reduce manual on-call steps.
CI/CD Integration: Integrate the CLI agent into CI pipelines to run deterministic deployment flows and environment setup as part of build and release processes.
Developer Onboarding: New team members use the agent’s guided terminal workflows to reproduce environments and deployments without deep infra knowledge.
Local Iteration of Infrastructure Changes: Developers iterate on infrastructure changes locally and safely, letting the agent translate intents into reproducible infra actions.
Secure existing infrastructure and identify configuration issues from the terminal
Deploy applications and infrastructure stacks through CLI-driven workflows
Generate or refine infrastructure-as-code artifacts for repeatable deployments
Maintain and operate production systems with automated, scriptable DevOps tasks
Embed a terminal agent into developer workflows for faster local-to-prod iteration