Local Workspace
A Local Workspace is a self-contained environment where AI agents collaborate by sharing a unified file system, context, and state without cloud dependencies. Enables complex task orchestration with data privacy and offline capability.
Key Features
- Shared Context: Agents maintain continuous state across interactions (no isolated chat sessions)
- File-Based Collaboration: Direct file sharing and versioning within the workspace
- Orchestration: Agents trigger each other’s workflows (e.g., code generation → testing)
Example: Claude Code AI Work Team
- claude-code enables building autonomous agent teams that share a local workspace
- Agents collaborate on multi-step tasks (e.g., generate code → validate → document) without manual handoffs
- Eliminates context-switching between isolated chat sessions
- Video tutorial demonstrates implementation
Related Concepts
- agentic-ai
- Orchestration
- claude-code
2026 04 14 Claude Code and agent team Grace Leung