Give your LLMs persistent memory. Mnexium stores, scores, and recalls long-term context with a simple API — no vector DBs, no pipelines, no retrieval logic. Add a single mnx object to your AI requests and get chat history, semantic recall, and durable user memory out of the box.
Hey Product Hunters -
While building AI apps, I kept running into the same problem: the model was great — but it couldn’t remember anything. I had to wire vector DBs, embeddings, retrieval pipelines, chat storage mechanisms. It felt like rebuilding the same thing every time I started a new project.
Mnexium fixes that.
With one API call, your app gets conversation history, long-term memory, and semantic recall — automatically.
I also published a “Getting Started” guide and a working chatGPT clone example. There was something that fundamentally changed when ChatGPT released memories - I want to make that possible for every AI app & agent.
I’d love any feedback, especially from folks building agents, copilots, or AI-powered products. What would you like Mnexium to support next?
Appreciate it.
