Content Creation Team

A 'tech newbie' always on the road, believing the best code solves real problems. Looking forward to exchanging with more tech partners, exploring infinite possibilities from theory to implementation.

The core idea of this project is building an 'AI Content Factory'. This concept borrows from traditional publishing industry's professional division of labor, decomposing content creation into four core stages: research, writing, review, editing. Each stage is handled by specialized AI Agents, unified by orchestrator scheduling, forming a complete content production pipeline. This design brings four significant advantages: First, professional specialization—each Agent focuses on specific tasks for maximum efficiency. Second, process standardization—fixed workflows ensure controllable output quality. Third, parallel processing capability—multiple workflows can proceed simultaneously, greatly improving throughput. Fourth, quality loop mechanism—built-in review and revision ensures outputs meet quality standards.

System adopts layered architecture design with six levels. Top layer is user interaction layer with three interaction methods: OpenAgents Studio for visual web interface, MCP Client for model context protocol connections, and command line tools via openagents CLI. Second layer is network transport with HTTP on port 8800 for Studio/MCP/REST API and gRPC on port 8801 (recommended for Agent communication, high-performance messaging with gzip compression). Third layer is core services: Network Core for connection management, Agent Manager for Agent lifecycle, Module Manager for Mod loading. Fourth layer is Mod extension layer with eight modules: content_workflow engine, documents, wiki, messaging, shared_artifact, project, etc.

Orchestrator Agent ID is content-orchestrator, the core scheduling hub. Five core responsibilities: 1. Receive user content creation requests. 2. Analyze creation needs, determine content type (article, technical doc, report, paper). 3. Use create_content_workflow tool to create corresponding workflow. 4. Monitor workflow progress, report status changes to user in real-time. 5. Handle workflow completion or failure notifications, feedback final results to user. Four triggers configured: Direct message notification event, stage change event, completion event, failure event.