Definition
A mechanism in autonomous agents where the system periodically analyzes its history of raw observations to synthesize higher-level insights and abstractions, storing these 'reflections' back into a vector database to guide future behavior. While it enhances long-term consistency and personality depth, it introduces architectural trade-offs in the form of increased token latency and higher inference costs due to the recursive summarization loops required.
Distinguish from operating system memory management; this is a meta-cognitive process for LLM observation logs.
"A student reviewing a month's worth of chaotic daily diary entries to write a single, coherent page of 'lessons learned' for their future self."
- Experience Buffer(Prerequisite)
- Long-Term Memory (LTM)(Component)
- Recursive Summarization(Component)
Conceptual Overview
A mechanism in autonomous agents where the system periodically analyzes its history of raw observations to synthesize higher-level insights and abstractions, storing these 'reflections' back into a vector database to guide future behavior. While it enhances long-term consistency and personality depth, it introduces architectural trade-offs in the form of increased token latency and higher inference costs due to the recursive summarization loops required.
Disambiguation
Distinguish from operating system memory management; this is a meta-cognitive process for LLM observation logs.
Visual Analog
A student reviewing a month's worth of chaotic daily diary entries to write a single, coherent page of 'lessons learned' for their future self.