digital-marketing-pro
Open-source AI marketing OS for multi-brand agencies and teams.
Run 164 skills, 24 specialist agents, and 12-part strategies across multiple client portfolios.
Digital Marketing Pro is an open-source AI marketing operating system built for agencies and in-house teams managing dozens of brands. It runs standard 12-part strategy flows, SEO audits, and campaign planning directly inside agent harnesses like Claude Code or Anthropic Cowork.
What it is
The tool executes 164 marketing skills and coordinates 24 specialist agents to handle strategy, SEO, AEO/GEO, paid media, and CRM tasks. It enforces human approval gates, handles EU AI Act Article 50 compliance, and maintains team-persistent brand context across sessions.
Who it's for
It suits marketing agencies, consultants, and in-house enterprise teams managing 50 to 200 distinct brands who need consistent, auditable campaign execution. It does not suit solo marketers looking for a simple web app or dashboard, as it requires running commands inside an AI coding assistant or agent platform.
Key features
12-Part Strategy Flow
Executes identical strategy sequences across multiple client portfolios in about an hour per brand.
Single-Use Approval Gate
Requires a typed yes and a matching single-use record before sending live API writes.
EU AI Act Compliance
Ships with built-in compliance rules and C2PA provenance tracking where supported by file formats.
Team-Persistent State
Stores brand context and state across sessions via your team's Google Drive or local storage.
Up and running in 3 steps
Our honest verdict
What's great
- Coordinates 24 specialist agents and 164 built-in marketing skills.
- Enforces strict human approval checks to prevent unverified live sends.
- Supports 9 native agent platforms plus 35 Agent Skills open standards.
- Maintains uniform brand context, voice, and compliance rules across portfolios.
Where it falls short
- Requires familiarity with AI agent harnesses like Claude Code, Cursor, or Cowork.
- Heavy usage of full marketing engagements consumes substantial model tokens.
- Live external actions depend on correctly configured API keys and environment variables.
Pricing & license
The plugin is free and open-source under the MIT license. Model token consumption depends on your existing subscription plan or API usage, and connected third-party services bill according to their own provider rates.
Open remote AI-training roles
876 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
What platforms are supported?
It installs natively on Claude Code, Anthropic Cowork, OpenAI Codex, Cursor 2.5+, GitHub Copilot CLI, Google Antigravity 2.0, Hermes Agent, OpenClaw, and Grok, plus 35+ Agent Skills platforms.
How does it handle safety on live writes?
Plugin-sent writes require a single-use approval record generated by a preparation script and a typed yes. MCP server tools rely on your host's permission prompt.
