marius ndini

đź§  Memory Graphs: Visualize How Your AI Remembers

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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?

Memory Graphs is our first attempt to fix that.

đź”— See memory evolution
Watch facts evolve across conversations:
“favorite color = blue” → green → red → yellow

đź’¬ Trace exact origins
Every memory links back to the message that created it.

🔄 Visualize recall events
See when and how often memories are injected into prompts.

✨ Explore interactively
Zoom, pan, hover — understand the full memory timeline instantly.

Why this matters
• Debug memory bugs faster
• Build user trust with transparency
• Spot conflicts and bad supersession logic
• Maintain a full audit trail for compliance

We’re really trying to build @Mnexium AI for both enterprise teams & hobbyists and weekend warrior devs struggling with building AI tools and agents. The most neglected part: auditing and traceability.

Memory Graphs make memory evolution explicit — showing where information came from, how it changed, and why it was recalled. We want to provide inspectable AI behavior.

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