Enterprise Memory Infrastructure
Your engineers correct AI dozens of times a day.
Those corrections disappear.
Reflect Memory captures corrections and context across every AI tool your team uses, then turns them into compounding organizational intelligence. Every correction today makes every AI interaction smarter tomorrow.
How It Works
Deterministic memory, not another AI layer
No AI in the write path. No hallucinated context. Memories are written explicitly and retrieved deterministically via standard protocols.
Explicit writes
Engineers and AI tools write memories through a structured API. No ambient data collection.
Shared memory pool
One memory store serves every tool. Cursor, ChatGPT, Claude, Gemini all read from the same source of truth.
MCP-native
First-class Model Context Protocol support. AI tools connect via MCP, REST API, or Custom Actions.
Vendor-neutral
Memories are portable. Switch tools without losing context. No vendor lock-in on the memory layer.
Compounding Intelligence
Every correction compounds
The more your team uses AI, the smarter every interaction gets. Corrections become institutional memory that accelerates the entire organization.
Engineer corrects AI
"No, we use PostgreSQL 16 with row-level security, not MySQL."
Correction becomes memory
Stored deterministically. Tagged, searchable, vendor-neutral.
Memory improves next interaction
Every AI tool reads the correction. The mistake never repeats.
Cycle accelerates
Accumulated context compounds. AI errors decrease over time.
Deployment
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 |
Security
Defense-in-depth by default
Every 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
Architecture
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.
We built this because we watched engineering teams lose months of institutional knowledge every time someone switched tools.
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.