Agent Memory Layer
Across AI Memory SDK provides a persistent, permissioned memory for agents that reason, learn, and take action in production.
Reasoning Graphs Turn Context to Action
- •Builds long-term, semantic memory from unstructured enterprise data
- •Encodes facts, inferences, and business processes into a persistent Reasoning Graph
- •Guides agents on what to store, how to reason, and when to act
- •Automatically cascades new data through the graph, updating inferences and triggering next-best actions
Connect agents to real enterprise data
A plug-and-play integrations layer that preserves permissions and scales with your stack.
Connect
Native connectors to CRM, email, calls, docs, tickets, and warehouses.
Govern
Permission-safe memory that inherits RBAC / PBAC from source systems.
Extend
Add new connectors and schemas without touching agent logic.
A control plane for agent memory and reasoning
Across AI provides a Memory SDK and a visual Memory Studio to define how agents store knowledge, reason across it, and take action.
Configure to your organization's domain
Define entities, relationships, and business processes in a reasoning graph.
Define entities, relationships, and business processes in a reasoning graph.
Control how agents reason
Specify how inferences are computed and how facts roll up across memory.
Specify how inferences are computed and how facts roll up across memory.
Automate cascade updates and actions
Trigger downstream memory updates and next-best actions when new data arrives.
Trigger downstream memory updates and next-best actions when new data arrives.
A reasoning graph encoding a MEDDPICC sales process, showing how new signals cascade into downstream inferences and actions.