
Mnexium
An AI memory API providing persistent context for LLM applications and agents.

Product memo
LLM developers and AI agents need persistent memory, chat history, and user profiles. This API provides a unified memory layer, abstracting away the complexity of building and managing memory infrastructure. It works across various models like OpenAI, Anthropic, and Gemini, letting developers focus on core AI agent functionality rather than data persistence.
- For who
- LLM developers and AI agents
- Solves what
- Persistent memory, chat history, and user profiles for AI applications.
- AI memory API
- Cross-session recall
- Model provider agnostic
In their own words
AI MEMORY
Add persistent memory, chat history, user profiles, records, and live context to your AI app without building memory infrastructure yourself.
Operator & company
Operators
2 people
Founder claim · Source claim · Hacker News relation
Maker · Source-backed · Product Hunt relation
Community-sourced claim; not official-site verified.
Company
- Founded
Jan 2026
Operating model
- Business model
Saas
- Platform
API
- Audience
Developers
Builder strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About Mnexium Expand
Mnexium provides an AI memory API designed for LLM developers and AI agents. It addresses the critical need for persistent memory, chat history, and user profile management within AI applications.
The service differentiates itself by offering a unified memory layer that operates across various model providers, including OpenAI, Anthropic, and Gemini. This approach abstracts away the complexities of building and maintaining memory infrastructure, allowing developers to concentrate on their core AI agent functionality.
Mnexium's positioning as a niche specialist in AI memory helps builders integrate advanced context features without significant engineering overhead.
Competitive context
5 peers · Same primary niche.
Commercial cues
- Model
- subscription
- Free tier
- Yes
- Trial
- Available
Pricing strategy
- • A free tier removes friction for testing and small-scale AI applications.
- • Tiered plans align costs with user volume and AI memory consumption.
- • The Builder tier offers a clear entry point for growing AI applications.


