Your agents start cold. Memory Core™ is the substrate that ends that — persistent, graph-structured memory that compounds across sessions, across agents, across teams.
Enterprise teams building on Azure AI Foundry, Microsoft 365 Copilot Studio, or any LLM framework hit the same structural wall.
Memory Core operates below the agent layer — a persistent, graph-native knowledge substrate that any agent, any framework, any session can write to and read from.
The IP is filed. The infrastructure is live. The substrate is in production today. We're working with a small group of platform partners and enterprise design partners — and we'd like the conversation with the right teams. Azure Marketplace exploration is underway.
Pricing is being shaped against design-partner usage. Public pricing will publish when we are confident the structure reflects the value delivered. Until then, every conversation is bespoke.
Azure AI Foundry Agent Service includes vector-based session memory during preview. Memory Core is a different class of product.
| Capability | Foundry Agent Service Memory | Memory Core |
|---|---|---|
| Memory type | Vector-only | Graph-native + vector |
| Cross-session persistence | Session-scoped | Persistent substrate |
| Multi-agent shared memory | Pipeline-scoped only | Cross-agent, substrate-level |
| Works outside Foundry | Foundry-locked | Any LLM framework |
| Multi-team isolation | — | Per-tenant, data-plane enforced |
| Compounds over time | — | Memory that compounds with use |
| Relationship traversal | Semantic similarity only | Graph-native — cause, sequence, identity |
Memory Core is designed for production AI deployments in regulated and security-sensitive environments. The top-of-page strip carries the scan-signals; this section expands the specifics.