Designing a Shared Workspace for AI Agents
Read OriginalThis article proposes a shared workspace architecture for AI agents, treating it as a bounded, versioned view of an active task rather than an expanding conversation. It covers controlled interfaces for specialists, preserving differences, tracking dependencies, surfacing conflicting evidence, separating active state from recovery history, atomic updates to prevent stale plans, and starting read-only to demonstrate coordination benefits before scaling.
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