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Welcome to Remem

Remem is a universal context layer that gives your AI agents persistent memory. Ingest personal and professional data, and Remem handles encryption, classification, and retrieval — so your agents always have the right context.

Quickstart

Create a tenant, ingest a document, and query it in 5 minutes.

Authentication

API keys, sensitivity scoping, and security model.

Core Concepts

Tenant isolation, encryption, query modes, and the processing pipeline.

MCP Integration

Connect Remem to Claude Desktop and other MCP-compatible agents.

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Why Remem?

FeatureDescription
Hard tenant isolationPer-tenant encryption keys, dedicated vector collections, PostgreSQL RLS
AI-powered classificationAutomatic categorization, entity extraction, and sensitivity labeling
Two query modesFast (<100ms, hybrid search) and Rich (<2s, with LLM synthesis)
GDPR/CCPA readyBuilt-in data export and crypto-shredding deletion
MCP nativeFirst-class Model Context Protocol support for agent integrations

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Architecture at a Glance

Client → FastAPI → Redis Streams → Worker Pipeline
                                      ├── Encrypt & Store (S3 + PostgreSQL)
                                      ├── Chunk & Embed (voyage-3.5-lite)
                                      ├── Classify & Extract (Grok 4 Fast)
                                      └── Index (Qdrant)