State Stores & Persistence
How do I assign the right datastores for each AI agent state category?
You should map each distinct AI agent state type to a dedicated datastore aligned with its core purpose. Workflow execution state needs durable, immutable stores for auditability, conversation state uses fast low-latency stores, business data uses dedicated relational or object stores, retrieval corpora use vector stores. Avoid general-purpose datastores without verifying they support your team’s access control and durability needs.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- State Stores & Persistence
What’s the difference between workflow and conversation agent state?
Explain the distinct storage durability and access requirements for two core agent session and workflow state types in production AI deployments
- State Stores & Persistence
Will agent session state survive restarts or deployments?
Break down the key scenarios where agent session state survives restarts deployments and regional outages in production AI agent workloads
- State Stores & Persistence
What’s the difference between a cache and system of record for agent state?
Clarify the key differences between agent state caches and persistent systems of record for critical production AI agent workloads