Content Marketing Agent System
Build Agents, Not Infrastructure

The Content Marketing Agent System is an AI-powered automation platform for creating, managing, and scheduling social media content. Built with Agentuity and TypeScript, this system automates the entire content marketing workflow from topic ideation to post scheduling.

This system uses a multi-agent architecture to handle different aspects of the content marketing process:

• Manager Agent: Orchestrates the entire content marketing workflow
• Copywriter Agent: Creates engaging social media content for different platforms
• Scheduler Agent: Schedules content for publishing through Typefully API

• Bun v1.2.5 or higher
• Agentuity CLI (for development)
• Typefully API key (for scheduling content)

Install dependencies:

bun install

Run the project:

agentuity dev

The Manager Agent serves as the entry point and orchestrator of the content marketing process:

• Inputs: Topic, optional description, publish date, and domain source
• Functions:
  • Extracts structured information from natural language requests
  • Checks for existing campaigns on similar topics
  • Creates new content marketing campaigns
  • Hands off to the Copywriter Agent for content creation
• Outputs: Campaign data or handoff to Copywriter Agent

The Copywriter Agent is responsible for creating social media content:

• Inputs: Campaign ID, topic, and optional description
• Functions:
  • Generates multiple LinkedIn posts with appropriate hashtags
  • Creates Twitter threads with multiple tweets
  • Updates campaign status and saves content to the campaign
• Outputs: LinkedIn posts and Twitter threads, with handoff to Scheduler Agent

The Scheduler Agent handles publishing the created content:

• Inputs: Campaign ID and optional publish date
• Functions:
  • Interfaces with Typefully API to schedule content
  • Schedules LinkedIn posts and Twitter threads
  • Updates campaign status with scheduling information
• Outputs: Scheduling confirmation with links to scheduled content

The system uses the following key data structures:

• Campaign: Central data object containing all information about a content marketing campaign
• Campaign Metadata: Indexed by campaign ID in KV store

This project was built using Agentuity, an AI agent development platform. The project structure follows Agentuity's conventions with agents located in src/agents/.

For comprehensive documentation on Agentuity, visit our documentation site at agentuity.dev.

This project is licensed under the Apache License, Version 2.0 - see the LICENSE file for details.