Strattum Memory Graph Memory Graph unifies your data into entities, relationships, and timeline — resolved automatically across systems, updated in real time, and ready for any agent via MCP.
A customer registered five times across different systems. Interaction history locked in silos. Memory Graph solves this once — in a live, governed structure exposed to any agent.
The same person in Salesforce, Zendesk, and your ERP. Strattum identifies and consolidates — even when identifiers differ across systems.
Who works at which company. Who signed which contract. Who opened which ticket. Not tables — a graph. Agents navigate context the way a human would.
Every interaction, contract, ticket, and transaction in chronological order. Ask the agent "what happened with this customer?" and get the complete answer.
Memory Worker processes every change from source systems in seconds. The graph is never stale — your agents do not answer with yesterday's data.
Three steps, automated. From raw data to agent query — no code required.
Describe your business entities in YAML — Customer, Contract, Product, Ticket. Which relationships, which fields, which identifiers.
Reads the Data Catalog, resolves entities (same email in CRM and help desk = same person), and writes to the graph — incrementally, in seconds.
The graph is exposed as MCP Tools: search_entity, get_entity_context, run_cypher. Any agent — Claude, GPT, Copilot — uses it directly.
You design your business model before connecting sources. Top-down, not bottom-up.
Memory Worker processes events in seconds. No nightly batch, no stale data.
Complex Cypher queries for analysts. Typed MCP Tools for agents.
Every query respects source system ACLs. No Salesforce access means no access here.
Runs in your cloud. Anonymization, right to erasure, and DPA ready on Day 1.
Which source contributed each attribute? When was it updated? Fully traceable.
Before the agent opens the ticket, it already has full context: active contracts, payment history, previous tickets, NPS, CSM activity.
Memory Graph traverses relationships — customer who opened multiple tickets, cancelled a product, stopped paying. Patterns tables cannot reveal.
SDR asks the agent about a lead — receives who the decision-maker is, current stack, who bought at similar companies.
Memory delivers entities and timeline. Knowledge delivers documents. Together: structured + unstructured context.
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Build custom Skills that use Memory to answer business-specific questions.
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Every Memory Graph query is logged, audited, and respects source system permissions.
Explore Governance →Book a 30-minute demo. We show Strattum running on data like yours, in the architecture your company can deploy.