RAISE
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RAISE is an advanced agent architecture that adds a dual-memory system on top of a ReAct-style backbone to better support long-running conversational agents.
Dual memory: A scratchpad serves as transient "short-term" memory for the current interaction, while a retrieval module provides persistent "long-term" memory over examples and prior conversations.
Human-memory analogy: The design explicitly mirrors human short-term vs. long-term memory, and the paper argues this structure is key for maintaining context and continuity.
ReAct inspiration: Keeps the ReAct generate-action-observe loop but augments it with memory-driven example retrieval at each step.
Evaluation: Demonstrates improvements over ReAct on conversational agent benchmarks, with particularly strong gains on long-context multi-turn tasks.
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