What is the Customer Memory Graph?

The Customer Memory Graph is a structured, living record of every customer in your business. It reconciles CRM data, product behavior, support history, and conversations into one semantic model that AI agents can read, reason over, and act on.

Who is Hyperengage for?

Hyperengage is built for post-sales teams: VP Customer Success, CS leaders, account managers, and RevOps at B2B SaaS companies that run recurring revenue accounts and want their AI agents to operate on real customer state.

What sources does Hyperengage reconcile?

Hyperengage ingests and reconciles HubSpot, Salesforce, Segment, Intercom, Zendesk, Slack, and Stripe into one semantic model. One definition of churn risk, expansion signal, and feature adoption across every team and every agent.

How is this different from a CRM?

A CRM records what happened — forms, fields, manual entries. The Customer Memory Graph reconciles signals across every tool and understands behavior, sentiment, and trajectory. Humans and AI agents read from the same source of truth.

How do AI agents use the graph?

Sidekick reads the graph to brief CSMs before calls. Copilot reads the graph to answer hard questions. Signals Engine reads the graph to fire playbooks when conditions are met. Same source of truth, different surfaces.

The Customer Memory Graph

The memory layer your customer agents run on

Hyperengage builds one structured memory per customer — fusing product usage, CRM activity, and every interaction into a graph your AI agents can read, reason over, and act on. No more context lost between tools.

See the customer memory graph Book a 20-min walkthrough

Customer Memory Graph· live

Unified customer context

Signals powering every workflow

234,891 events↑

Sources

Readers

7 sources · 1 graph · 4 readerslatency 84ms

HubSpot

CRM

live

Salesforce

CRM

live

Segment

Product

syncing

Intercom

Support

live

Zendesk

Support

live

Slack

Comms

live

Stripe

Billing

connected

Insight

Event

Decision

Meeting

Thread

Action

Account

Sidekick

reads to brief CSMs

Copilot

reads to answer questions

Signals Engine

reads to fire playbooks

MCP

api

Claude · Codex · any agent

Customer Memory Graph· live

7 Sources

HubSpot

CRM

Salesforce

CRM

Segment

Product

Intercom

Support

Zendesk

Support

Slack

Comms

Stripe

Billing

Account

234,891 events↑

Unified customer context

Insight

Event

Decision

Meeting

Thread

Action

4 Readers

Sidekick

reads to brief CSMs

Copilot

reads to answer questions

Signals Engine

reads to fire playbooks

MCP

api

Claude · Codex · any agent

7 sources · 1 graph · 4 readerslatency 84ms

How it works

Connect. Build the graph. Agents act on it.

Step 01

Connect

HubSpot, Salesforce, Segment, Intercom, Slack — Hyperengage ingests and reconciles them into a single semantic model. No ETL scripts. No manual mapping.

HubSpotSalesforceSegmentIntercomSlackStripe

Step 02

Build the graph

Every account becomes a living object: health trajectory, usage depth, interaction history, risk signals, expansion moments. Structured. Reasoned. Current.

Health trajectoryUsage depthInteraction historyRisk signalsExpansion moments

Step 03

Agents act on it

Sidekick briefs CSMs. Copilot answers questions. Signals Engine fires playbooks. MCP exposes the graph to Claude, Codex, or any agent you bring. Same memory. Different surfaces.

SidekickCopilotSignals EngineMCPBring-your-own agent

See how it connects Book a 20-min walkthrough

Agents on the graph

One memory. Four readers.

Sidekick, Copilot, and Signals Engine read the graph natively. MCP exposes it to Claude, Codex, or any agent you bring.

The graph

Every account becomes a living object. CRM records, product events, emails, meetings, and Slack threads — reconciled into one semantic model with relationships.

Sources

Salesforce

Segment

Gmail

Slack

Zoom

300+

🏢

CompaniesS

👤

ContactsS

🤝

DealsS

📅

MeetingsS

☑

TasksS

⚡

EventsC

Qualitative ExtractionAI-extracted from conversations

✉

Champion departure detectednegative

Sarah Chen (VP Product) left the company

Segment·Email

#CHAMPION#RISK

🎙

Pricing objection raisedneutral

CFO requesting 18% discount for renewal

Notion·Meeting

#PRICING#RENEWAL

📊

Feature adoption milestonepositive

Activated 8/10 core features in 2 weeks

Linear·Product

#ADOPTION#GROWTH

Every question about your customers answered in seconds

Ask "Why did Acme's usage drop after onboarding?" or "Which accounts are expansion-ready this quarter?" The Copilot traverses the full customer memory graph (not just a data table) and gives you answers with reasoning.

Prep me for the Segment QBR tomorrow

ORA

3 actions performed

Qualitative Analysis

Quantitative Analysis

Signal Scan

Segment QBR Brief2 Concepts

🎙

Discount Requestneutral

COMMERCIAL

#PRICING#RENEWAL

☑

Champion Transitionnegative

RISK

#CHAMPION#TRANSITION

Segment is at risk — usage dropped 23% last month with 3 open tickets.

Key risk: Nora (CFO) is driving a price-focused evaluation. Champion Priya on leave in April.

Renewal window: March 15 · Next call: Feb 3

Know what changed before your customer tells you

Hyperengage watches every node in the customer graph. Feature adoption rates, support ticket velocity, usage drop patterns, expansion triggers. When a condition is met, the agent acts. You get the outcome, not the alert.

At-Risk Account Alert

Account 30+ days, no core feature usage

active

S📥

1w ago

Champion Change Detection

Key stakeholder left or changed role

active

3w ago

Renewal Risk Notification

30 days before renewal, declining health

paused

📥✉

1m ago

An AI that's read the full history before your call starts

The Sidekick reads the customer memory graph, surfaces what changed since your last touch, and tells you what to do next. Not a summary of notes. A reasoned briefing built from behavioral signals, sentiment, and health trajectory.

AI-prioritized

3 tasks today

Follow up with Segmentcritical

Contract renewal — high churn risk

⚠$48K ARR at risk·SegmentToday

Send expansion proposalhigh

Enterprise upgrade based on usage

$+$24K potential·LinearTomorrow

Schedule QBR with Stripehigh

Usage up 45% — upsell opportunity

↑High momentum·StripeThis week

AI Skills

Specialized agent capabilities loaded on demand. Renewal analysis, meeting prep, risk investigation, campaign scoring. Each skill reads the graph.

Renewal Intel

Portfolio-wide renewal analysis

Ready

Meeting Prep

Pre-call brief with context

Ready

Campaign Fit

Score accounts for upsell

Ready

Daily Focus

Ranked priority list

Ready

Comparative

Benchmark vs peers

Ready

Custom Skill

Build your own

Build

11 built-in · Unlimited custom

Meeting context, agent-ready

Auto-recording, transcription, and reasoned briefs. Pre-call: what changed since the last touch. Post-call: action items, follow-ups, and CRM updates written back into the graph.

Coming up

2:00 PM

Quarterly Review

Segment

Prep

4:00 PM

Product Demo

Stripe

Prep

AI Brief · Segment QBR

Usage dropped 23% last month
3 support tickets pending
Contract renewal in 45 days

Plug Claude, Codex, or any agent into the graph via MCP

An MCP server that exposes the Customer Memory Graph as a typed tool any post-sales agent can call. Live state, not stale CRM exports. Use the agents we ship, bring your own, or run them side by side.

mcp · agent.ts● connected

// connect any agent to the customer memory graph

const memory = await mcp.connect({

server: "hyperengage/memory-graph",

account: "acme.com",

})

const brief = await memory.read({

since: "last_touch", include: ["events","emails","decisions"]

})

Claude

Codex

ChatGPT

Custom

See the customer memory graph

AI Skills

Specialized AI skills, loaded on demand.

Each skill is purpose-built for a specific workflow. Ask a question — the right skill activates, works inside your data, and returns evidence-backed answers.

Entity Resolution

Fuzzy-match accounts & contacts across all sources

Find all contacts at Acme Corp

Sonnet

Ask ORA anything... Use @ to mention

The memory layer your customer agents run on

Your customer context is scattered across 8 tools. Your agents start from scratch every time.