Mnexium AI

Persistent, structured memory for AI Agents

About The Product

Mnexium AI provides persistent, structured memory for AI Agents, enabling LLM apps to maintain chat history, semantic recall, and user profiles across sessions and providers with just one mnx object. It works seamlessly with ChatGPT and Claude, ensuring consistent memories regardless of the model used, allowing mid-conversation model switches without context loss. Eliminating the need for vector DBs or pipelines, Mnexium offers a consistent memory layer that supports A/B testing, failover, and cost-based routing, simplifying development while enhancing AI agent continuity.

Target Users

Developers building LLM apps needing persistent, cross-session, multi-provider memory solutions.

Pain Points

LLM apps lack persistent, cross-session, cross-provider structured memory without complex setups.

Key Features

Mnexium AI provides persistent, structured memory for AI Agents with chat history, semantic recall, and cross-session user profiles via a single mnx object.
It works seamlessly with ChatGPT and Claude, ensuring consistent memories across different models even when switching mid-conversation.
Eliminates the need for vector databases or pipelines, allowing for A/B testing, failover, and cost-based routing while maintaining a consistent memory layer.