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Memoid - AI Memory Layer

Memoid

AI
LLMs
Memory Layer
API

An AI memory layer that adds persistent, intelligent memory to any AI application with semantic search and knowledge graphs.

What is Memoid?

Memoid is a memory layer that gives AI applications persistent, intelligent memory. It extracts facts from conversations, enables semantic search, and automatically builds knowledge graphs - so your AI actually remembers users across sessions.

Key Features

Persistent Memory — Store and retrieve facts from conversations. Your AI remembers users across sessions without losing context.

Semantic Search — Find relevant memories using natural language queries. No exact keyword matches needed - the system understands intent.

Knowledge Graph — Automatically extract entities and relationships from conversations to build rich, queryable knowledge bases.

Real-time Sync — Memories update instantly. Always have the latest context available for your AI to reference.

Simple API — Three core endpoints to get started. Works with any programming language - Python, JavaScript, Go, or plain cURL.

How It Works

  1. Send conversation messages to the Memoid API
  2. Facts are automatically extracted and stored
  3. Search memories with natural language queries
  4. Knowledge graphs are built from entity relationships
  5. Your AI retrieves relevant context for every interaction

Use Cases

AI Assistants — Build assistants that remember user preferences, past conversations, and personal context across sessions.

Customer Support — Give support agents instant context about customer history, previous issues, and resolution patterns.

Personalization Engines — Deliver deeply personalized experiences based on learned user behavior and stated preferences.

Tech Stack

Built with a focus on developer experience - simple REST API, Python SDK, and comprehensive documentation. Designed to integrate into any AI pipeline in minutes.