Memory Core
AppliedAgentics / Memory Core / Patent AU 2026904317

Graph-native persistent memory
for production AI agents.

Your agents start cold. Memory Core is the substrate that ends that — persistent, graph-structured memory that compounds across sessions, across agents, across teams.

Patent
AU 2026904317
Architecture protected at claim level — graph-native persistent memory substrate.
Integration
MCP-native · framework-agnostic
Native MCP server + REST API. Compatible with any MCP host — Foundry, Copilot Studio, LangChain, AutoGen, custom orchestration.
Data plane
Per-tenant · enforced
Tenant isolation enforced at the data plane, not contractual. No cross-tenant queries possible by design.
Publisher
AppliedAgentics Pty Ltd
ABN 98 697 110 517 · Australia · Owner of the Memory Core™ trademark and patent AU 2026904317.
The problem

Every session starts cold. Every agent starts blank.

Enterprise teams building on Azure AI Foundry, Microsoft 365 Copilot Studio, or any LLM framework hit the same structural wall.

Session isolation
Agents forget when the session ends.
No matter what they learned, resolved, or reasoned through — the next call starts from zero. Institutional knowledge dies at context window boundaries.
Multi-agent context loss
Pipelines don't share what they know.
Agent A completes a task. Agent B starts the next step with no memory of what Agent A established. Every handoff is a cold start.
Knowledge that doesn't compound
The tenth run is as blind as the first.
Without a memory substrate, agents can't improve from experience. Every deployment cycle restarts the learning curve.
No structured retrieval
Vector search finds similar — not related.
Vector-only systems retrieve semantically similar content. Graph-native retrieval traverses actual relationships — cause, dependency, sequence, identity.
What Memory Core is

A substrate, not a feature.

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.

01
Graph-native, not vector-only
Relationships are first-class. Memory Core stores how concepts connect — not just that they're similar. Agents can traverse dependencies, timelines, identities, and causal chains, not just find nearby embeddings.
02
Persistent across sessions
Memory survives session end. What an agent established in yesterday's run is available in today's. Context accumulates rather than resets. The memory substrate outlives any individual agent invocation.
03
Multi-agent and cross-team
One memory layer, many agents. Agents in the same pipeline share a substrate. Teams can maintain isolated tenant namespaces within the same instance. No cross-tenant leakage by design — enforced at the data plane, not just contractual.
04
Compounding memory
The substrate improves with use. The longer your agents run on Memory Core, the more relevant the context they surface. Production deployments outperform fresh starts on the same task — without retraining and without manual curation.
05
Framework-agnostic
REST API and MCP server endpoints — Memory Core is MCP-native and compatible with any MCP host. Foundry, Copilot Studio, LangChain, AutoGen, custom orchestration layers — Memory Core fits the toolchain you already use.
06
Hosted SaaS — nothing to deploy
No infrastructure to manage. No vector database to provision, tune, or back up. Memory Core is a managed substrate — subscription activated through AppliedAgentics, tenants provisioned automatically. Your team writes agents, not memory infrastructure.
Access

Memory Core is shipping. We're engaging with partners ahead of public commercial release.

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.

Platform partners
Hyperscaler conversations — Microsoft, AWS, Google Cloud — about Memory Core as the graph-native memory substrate beneath partner-managed AI platforms.
Frontier labs
Research and product teams at frontier labs exploring persistent memory architectures for agent systems. Open to research partnership conversations and joint evaluation.
Enterprise design partners
Enterprise teams running production AI agents on cloud infrastructure and looking for graph-native, data-plane-isolated memory. Private terms, dedicated support during preview.

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.

Differentiation

Not vector search. A memory substrate.

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
Compliance detail

Built for enterprise security requirements.

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.

Encryption
At rest + in transit
All data encrypted at rest. All API traffic TLS 1.2+. Per-tenant encryption key isolation available at Enterprise tier.
Data isolation
Data-plane enforced
No cross-tenant queries possible by design. Isolation lives in the substrate, not in application code or contractual terms.
SOC 2
Roadmap · in discussion
SOC 2 Type II audit roadmap discussion offered with Enterprise design partners. Audit scope available on request.
Region
Australia · Azure
Hosted on Azure Australia regions. Data residency commitments available at Enterprise tier — specify region as part of access conversation.