Long Term Memory

Long-term memory, is designed for persistence and context over time. It’s where DexterAI stores all the key details from past conversations, user preferences, and operational history. This allows it to:

• Adapt to Your Style: Over time, Dexter learns your risk tolerance, and go-to protocols. For example, if you often ask for low-risk yield strategies, it’ll prioritize those in future recommendations.

• Build Historical Context: Dexter doesn’t just track what you’ve done—it remembers why. For instance, if you consistently avoid liquidity pools with high impermanent loss, it’ll factor that into its future suggestions without needing to be told again.

• Refine Long-Term Strategies: If you’re working toward a bigger goal—like maximizing returns over several months or farming a specific airdrop—long-term memory helps Dexter connect the dots across multiple interactions to optimize your results.

This memory doesn’t reset and grows over time, making Dexter more personalized and smarter the more you use it.