Cross-Agent Persistent Memory

Private Context For Teams

Self-hosted or VPC deployment with SSO, audit trails, model egress control, and dedicated support. Pricing depends on deployment scope, compliance requirements, and team size.

No ambient data collection

Every memory is written through a structured API with explicit intent. Nothing is inferred, scraped, or collected passively.

Single memory store, every AI tool

One store serves Cursor, Claude, ChatGPT, and every other AI tool your team uses. Standardize without consolidating vendors.

MCP-native

First-class Model Context Protocol support. AI tools connect via MCP, REST API, or Custom Actions.

No vendor lock-in

Memories are portable across tools and providers. Switch AI vendors without losing institutional context.

Structured pilot processEvery enterprise engagement follows a scoped evaluation process designed for security review and procurement timelines.

Walkthrough

We scope your team’s use cases, deployment requirements, and security constraints. 30-minute call.

Structured pilot

Private instance on your infrastructure. Your team evaluates with real workflows. Typical pilot: 2–4 weeks.

Production rollout

Dedicated support for production deployment. Custom SLA, SSO integration, and ongoing account management.

How does this compare to Mem0, Supermemory, and others?

Side-by-side capability matrix across 8 alternatives.

See the Comparison

Your infrastructure, your boundary

Same product across every deployment model. Choose the boundary that fits your security requirements.

	Hosted	Isolated Hosted	Self-Host
Runs on	Reflect cloud	Dedicated instance	Your VPC / on-prem
Data residency	US multi-tenant	Region of choice	Your infrastructure
Network boundary	Public API	Isolated endpoint	Air-gapped capable
Model egress	Enabled	Configurable	Disabled by default
Auth	API keys + OAuth	SSO + API keys	SSO + API keys + OIDC
Audit trail	Standard	Extended	Full, queryable, exportable
Tenant isolation	Logical	Process-level	Physical

Defense-in-depth by defaultEvery layer designed for regulated environments. Your security team gets complete oversight.

Authentication

API key with timing-safe comparison · SSO / OIDC (Okta, Azure AD, Google, Auth0, Keycloak) · OAuth 2.1 with PKCE for MCP connections

Encryption

TLS in transit (enforced) · Operator-managed at rest (LUKS, EBS, CMEK) · Hash-only API key storage

Audit Trail

Every auth attempt, data access, admin action logged · Query, export, and prune capabilities · Configurable retention policies

Model Egress Control

Block all outbound AI provider requests · Restrict to internal model endpoints only · Self-host mode disables egress by default

Tenant Isolation

Dedicated storage volume per deployment · Tenant ID markers prevent cross-deployment access · Per-user data isolation within each deployment

Compliance

SOC 2 alignment · GDPR considerations built in · HIPAA-ready in self-host mode

Single-tenant by design

Every enterprise deployment runs as an isolated instance with its own process, database, and network boundary. No shared infrastructure with other tenants.

Self-host mode disables all outbound AI provider requests by default. Your security team controls which endpoints, if any, are reachable.

Built for teams that lose engineering context every time they switch AI tools.

Docker / Helm

Single container, env-based config, bootstrap script

Air-gapped capable

No telemetry, no phone-home, no external dependencies

Network isolation

Runs in your VPC, behind your firewall

MCP + REST + Actions

Three integration paths, same memory store

Compliance ready

SOC 2, GDPR, HIPAA alignment out of the box

Start with a structured pilot tailored to your stack

We deploy a private instance on your infrastructure and scope the evaluation to your team's security requirements and success criteria.

Schedule a Walkthrough Read the Architecture