Mnexium AI – Persistent, structured memory for AI agents

Summary: Mnexium AI provides persistent long-term memory for large language models via a simple API, enabling chat history, semantic recall, and durable user memory without requiring vector databases or complex retrieval pipelines.

What it does

Mnexium stores, scores, and recalls long-term context automatically by adding a single mnx object to AI requests, delivering conversation history and semantic recall out of the box.

Who it's for

It is designed for developers building AI apps, agents, copilots, or AI-powered products needing integrated persistent memory.

Why it matters

Mnexium solves the recurring challenge of implementing memory in AI models by eliminating the need for custom vector DBs, embeddings, and retrieval logic.