AI memory for loot-based games

LootMemory

LootMemory turns your ARPG run into an AI-readable save state. Talk through your session with GPT or Grok, compare loot, track DPS branches, preserve build decisions, and continue future chats with stable game context.

Torchlight 2 gameplay preview

Torchlight 2 Start Page

Start a new run, generate a contract, then move into the active memory/runtime page.

The AI-era ARPG problem

GPT can help you play loot games, but normal chats forget the run.

In the AI era, players can finally discuss loot, builds, stats, routes, and decisions with flagship chat models. But ARPG sessions are long, branching, and context-heavy. Without a memory layer, the chat becomes inconsistent.

Loot context breaks

New drops only make sense relative to your current build, weapon history, skill route, difficulty, and damage branches.

Chats lose continuity

A fresh GPT or Grok chat may not know your build logic, previous tradeoffs, saved gear, or why you made earlier decisions.

Guides are too static

Wikis and forums explain the game, but they do not remember your run, your stash, your DPS forks, or your current dilemma.

The solution

A corpus-backed save layer between your ARPG and your AI chat.

LootMemory gives AI a stable game-specific corpus and lets you save your run as structured memory. The result is a more coherent way to play loot-based games with AI.

play session → talk with GPT/Grok → compare loot → choose DPS branch → save state → corpus update → next chat continues correctly
LootMemory is the missing memory layer between GPT and loot-based games.