Data Governance & Access
How do I manage retention and deletion of agent workflow state?
Catalyst includes configurable retention and deletion policies for production AI agent workflow state. It leverages Dapr’s state store integrations to automatically archive or purge state based on defined timeframes, custom organizational rules, and operational governance needs for both deterministic and probabilistic workloads. This functionality relies on the underlying state store’s native capabilities, and may require extra custom setup for non-standard scheduling workflows.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Data Governance & Access
How do I enforce least-privilege access for AI agent credentials?
Configure granular least-privilege access limits for AI agent credentials using Catalyst’s integrated security tools aligned with Dapr standards.
- Data Governance & Access
How does Catalyst isolate AI agent workspaces and tenants?
Secure production-grade AI agent workspaces and tenants with Catalyst’s Dapr namespace partitioning, dedicated state storage, granular RBAC
- Data Governance & Access
Where is AI agent workflow state stored with Catalyst?
Understand where AI agent workflow state is stored when using Catalyst, including options for customer-managed storage backends integrated via Dapr.
