Graphis vs OpenComputer: Features, Pricing & Which Is Better (2026)

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

Graphis

Graphis / Graphis AI

Freemium

All-in-one AI workspace that helps designers, marketers, and creators manage AI-driven content projects and collaboration.

AI Content Project Management: Centralized workspace to create, organize, and track AI-driven content projects for campaigns and client work.
Team Collaboration: Shared project spaces and access controls that enable creatives and agency teams to work together on prompts, assets, and iterations.
Creative Workflow Consolidation: Brings prompts, outputs, assets, and project history into a single environment to streamline iteration and review.
Multi-role Support for Agencies: Designed to support agency workflows with organization-level project coordination and client-focused content pipelines.
Built-for-Creatives UX: Interface and tooling crafted by creatives to match the needs of designers, marketers, and content creators integrating AI into their processes.
Simple Authentication and Access: Supports modern sign-in flows (e.g., Google login) for quick team onboarding and access management.
Web-based collaborative workspace for creative teams
AI content project management and organization
Tools to integrate generative workflows into design and marketing tasks
Team accounts and authentication with Google single sign-on
Centralized management of creative projects and assets

Agency Campaign Management: Plan and manage AI-generated assets across client campaigns, keeping briefs, prompts, iterations, and final outputs organized.
Social Content Production: Rapidly generate and iterate social posts, captions, and visuals with a shared workspace for marketers and designers to review.
Creative Iteration and Review: Store AI outputs and version history to enable designers to compare generations, refine prompts, and finalize assets.
Cross-functional Team Collaboration: Allow designers, copywriters, and marketers to co-manage projects, comment on outputs, and align creative direction.
Standardizing AI Workflows: Create repeatable processes for prompt reuse, output curation, and asset management to maintain brand consistency.
Agency Client Delivery: Package and present AI-driven deliverables in organized project spaces for client review and approval.
Agency-level management of AI-generated campaigns and creative projects
Design teams incorporating generative content into production workflows
Marketing teams producing and iterating on AI-assisted assets and copy
Cross-functional collaboration on content projects with centralized access
Organizing and tracking AI-driven creative deliverables for clients

Digger

Paid

Deploy managed AI agents as persistent, always-on cloud VMs with steerable execution and permanent HTTP endpoints.

Persistent VMs: Always-on virtual machines with a full filesystem and OS access that survive restarts, so agent state is exactly where you left it.
Elastic Compute: Resize memory (1-16 GB) and vCPU while a VM is running to match the workload of the agent harness.
Instant Checkpoints: Snapshot any VM state to fork or roll back in seconds, recovering from bad agent runs without teardown.
One-Prompt Deploy: Paste a single prompt into Claude Code, Codex, or Cursor to install the CLI, log in, initialize, and deploy an agent end-to-end.
Permanent Agent URLs: Every deployed agent gets a stable HTTP endpoint reachable from Slack, webhooks, and cron jobs.
Steerable Mid-Run: Interrupt and redirect long-running agents without killing the session, keeping durable state intact.
Hibernate & Wake: Pause idle VMs to stop paying for compute and resume them instantly when the agent is needed again.

Shipping B2B Agent Platforms: Provide end users of your Lovable/Devin/Bolt-style product with per-user VMs that remember installed dependencies and files across sessions.
Long-Running Autonomous Tasks: Run overnight research, scraping, or refactor agents that need to persist context across many hours without a sandbox timeout.
Slack & Cron-Triggered Agents: Wire a permanent agent URL to a Slack app or cron so a team can invoke the same agent state from anywhere.
Rapid Agent Prototyping from an IDE: Turn a natural-language prompt inside Claude Code or Cursor into a live, invokable agent without provisioning infrastructure.
Safe Rollbacks for Autonomous Coders: Use checkpoints to fork an agent VM before risky changes and restore instantly if the agent breaks its environment.