AI memory infrastructure for teams building AI products
Your team's accumulated decisions, model choices, customer tunings, and product context - persistent in shared organizational memory. Plus a deployable reference architecture for the memory layer inside your product.
One memory layer for every AI tool you use
Connect Reflect once. Context follows your team across ChatGPT, Claude, Cursor, and more.
Key Capabilities
Purpose-built features that make the difference.
Vendor-neutral by architecture
Build on OpenAI today, switch to Anthropic or a self-hosted model tomorrow. Your product's memory layer doesn't break.
Dual-purpose infrastructure
Use Reflect for your team's internal workflow AND as a reference architecture for the memory layer inside your product.
MCP-native
First-class Model Context Protocol support. Your product's AI integrations work with the same memory layer your team uses internally.
IP-conscious deployment
Self-host means your training data, customer prompts, and product-internal context never touch a third-party API.
How Reflect Memory helps
Your team is its own customer
IP leakage is the existential risk
Build-vs-buy is a real engineering question
Try Reflect for your team - and your product
Persistent organizational memory for your team's internal workflow. Embedded-deployment options for the memory layer inside your product.