When multiple AI agents collaborate on a task, they need more than message passing — they need shared working memory. Shared Objects provide structured, typed data spaces where agents can read and write intermediate results, accumulate findings, and build composite outputs collaboratively. Think of it as the shared whiteboard that a team gathers around — except it's structured, persistent, and governed.
Shared objects have defined schemas. Agents interact with structured data — not free-form text — reducing miscommunication and enabling validation.
Multiple agents can read and write simultaneously with proper conflict resolution. Optimistic locking ensures data integrity without serialization bottlenecks.
Shared objects are created for specific workflows and cleaned up when no longer needed. Session-scoped, task-scoped, or persistent — depending on the use case.
Every read and write to shared objects is logged. Trace how collaborative decisions were built, what each agent contributed, and how conclusions were reached.
Shared Objects works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.
Enable sophisticated multi-agent collaboration that goes beyond simple request-response patterns. Complex enterprise tasks that require coordinated effort from multiple specialized agents become possible with shared working memory.
Discover how Shared Objects fits into your enterprise intelligence strategy.
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