marius ndini

marius ndini

Mnexium AIMnexium AI
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Maker History

  • Mnexium AI
    Mnexium AIPersistent, structured memory for AI Agents
    Jan 2026
  • Revitu
    RevituAI Workouts, Calorie Tracking & Meal spending/Suggestions
    Aug 2025
  • 🎉
    Joined Product HuntJune 16th, 2025

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🧠 Memory Graphs: Visualize How Your AI Remembers

When building AI agents with long-term memory, debugging is a challenge.

You know something was remembered but:
When was it created?
What replaced it?
Why is it being recalled now?

Why was it created as a memory in the first place?

🚀 New Provider: Google Gemini Support is Live!

@Mnexium AI Now supports all three major AI providers!

OpenAI ChatGPT models

Anthropic Claude Models

🧠 AI apps need memory but building it yourself is brutal

Most AI apps eventually hit the same wall. They forget users unless you build a ton of infrastructure first. This means every AI dev eventually will end up building this infra to provide the best user experience needs for their agent and app.

What rolling your own really means:

  • Vector DBs + embeddings + tuning

  • Extracting memories from conversations (and resolving conflicts)

  • Designing user profile schemas and keeping them in sync

  • Managing long chat history + summarization pipelines

  • Juggling different formats across OpenAI, Claude, etc.

  • Hosting, scaling, backups, monitoring

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