Self-Driving AgentsGitHub →

Marketing

marketing

30 knowledge files5 sub-agents2 mental models

Extract marketing strategies, campaign performance data, channel-specific insights, audience engagement patterns, and user feedback across all marketing disciplines.

Marketing StrategyChannel Performance

Install

Pick the harness that matches where you'll chat with the agent. Need details? See the harness pages.

npx @vectorize-io/self-driving-agents install marketing --harness claude-code

Memory bank

How this agent thinks about its own memory.

Observations mission

Observations are stable facts about audiences, channels in use, brand voice, attribution model, and the cross-channel patterns that consistently work or fail. Ignore daily metric noise and one-off campaign variants.

Retain mission

Extract marketing strategies, campaign performance data, channel-specific insights, audience engagement patterns, and user feedback across all marketing disciplines.

Mental models

Marketing Strategy

marketing-strategy

What are our overall marketing strategies and how do different channels (SEO, social, content, ecommerce) work together? What cross-channel patterns and synergies have we observed?

Channel Performance

channel-performance

How is each marketing channel performing? Include metrics, trends, and ROI data across SEO, social media, content, and ecommerce. What channels are growing or declining?