Orchestrated System
A coordinated framework where multiple autonomous agents collaborate through shared context, workspace, and file systems to execute complex tasks without manual intervention, moving beyond isolated chatbot interactions.
Key Characteristics
- Shared Context: Agents maintain persistent context across interactions (no copy-pasting between sessions)
- Unified Workspace: Collaborative environment with shared files and state
- Task Coordination: Agents dynamically assign roles (e.g., Planner, Worker, Critic) under a coordinating “Orchestrator” layer for complex workflows
- Autonomy: Agents operate independently while adhering to shared objectives
Implementation Examples
- Claude Code AI Work Team: Demonstrates building an orchestrated system using claude-code where agents share workspace/files to collaborate on tasks (e.g., code generation, analysis). Includes comprehensive tutorial by Grace Leung: Building an Autonomous AI Work Team with Claude Code.
- IBM AI Trends: Multi-agent Orchestration in Practice showing Planner/Worker/Critic agent collaboration.
References
- 2026 04 14 Claude Code and agent team Grace Leung