Continuum
ContinuumCanonical Company Memory

Your company's memory, finally connected.

Continuum turns the conversations, documents, and decisions scattered across your tools into one temporal, evidence-backed model of what's true right now — and what changed.

The Architecture

One memory, under everything.

Continuum ingests the tools your team already uses, resolves them into a single canonical model of company state, and exposes that state through a query API, a knowledge graph, and MCP — all reading the same source of truth.

Your workplace

Slack
Gmail
Linear
GitHub
Drive
Notion

+ any source with an API

Continuum

Continuum

Canonical Memory

Extraction

Every message, email, and commit becomes an immutable, timestamped artifact.

Entity Resolution

@priya, priya-dev and Priya S. collapse into one canonical identity.

Temporal State

Ownership and status changes are tracked with validity intervals — past and present.

Conflict & Evidence

Contradictions are surfaced, not hidden. Every answer keeps its source.

HydraDB graph substrate
How Continuum works

From raw chatter to resolved truth.

A strict separation of layers keeps every answer deterministic and traceable — no opaque guesses, no black box.

01

Ingest

Messages, emails, commits, and tickets stream in and become immutable, timestamped artifacts.

Slack message

@priya can take over the API migration

10:42 AM

Gmail thread

Re: API migration — sounds good, let's move forward.

9:11 AM

GitHub commit

feat(api): transfer ownership to Priya

Yesterday

Linear issue

API migration ownership

2 days ago

Immutable, timestamped artifact

Quoted history and duplicates handled.

Canonical artifact ✓
02

Understand

Handles resolve to canonical people and accounts. Atomic claims are extracted with validity intervals, so state has a past and a present.

Resolve identities

@priya

priya-dev

Priya S.

p.sharma

→
PS

Priya Sharma

Canonical person

Extract atomic claims

Claim

Priya Sharma owns the API migration

Source

Bound in time
Valid fromValid to
Aug 14, 2026Present
03

Remember

The graph resolves current state, keeps every transition, flags contradictions, and hands back answers with the evidence still attached.

Knowledge graph
AcmePriya
State over time

Morgan

Jul – Aug 5

Priya

Aug 5 – now

Contradictions & evidence

Contradiction detected

Slack says Priya owns it

Email says Morgan owns it

2 sources

The resolution pipeline

01

Raw message

02

Canonical artifact

03

Atomic claim

04

Resolved entity

05

Company state

Every answer is traceable to the original evidence.

Signal, not noise

We filter the noise out of everything you know.

Millions of raw signals stream across your tools. Continuum narrows them — deduping, resolving identities, bounding claims in time — until what's left is one grounded, current answer.

01

Dedupe

Quoted email history and reposted messages collapse to a single artifact.

02

Resolve

Aliases across tools converge onto one canonical person, account, or project.

03

Bound in time

Each claim gets a validity interval, so state has a past and a present.

04

Ground

What survives is one answer — with the original evidence still attached.

Slack
Gmail
Linear
GitHub
Drive
Notion
Jira
Confluence
Teams
Zoom
Asana
Salesforce
Dropbox
Zendesk
Connectors

Works with your entire stack

Native Slack + Gmail today. Everything else flows in through the same API and MCP layer.

Connect & Scale

Bring your workplace.
We'll remember all of it.

Point Continuum at the tools your company runs on — Slack, Gmail, or anything with an API — and every message, decision, and handoff flows into one temporal memory.

SlackGmailNotionLinearGitHubDrive

Connect any source

No lock-in to a single chat tool. Each connector normalizes into the same canonical model, so Slack and Gmail converge on one answer — with the original evidence attached.

View connectors
ClaudeOpenAI CodexCursorGitHub CopilotGemini

One MCP endpoint, 1B+ documents

Agents and copilots talk to Continuum over MCP — an adapter over the same canonical query layer, never a second brain. A purpose-built harness around HydraDB is engineered to query across 1B+ targeted documents without losing provenance.

Explore the MCP layer