Agentic Memory
What it is
A research notebook implementing cognitive architecture concepts for LLM agents. It models four types of memory (working, episodic, semantic, and procedural) to help stateless LLMs maintain context and learn from past experiences.
The problem it solves
LLMs are stateless and lack the ability to naturally recall past experiences, learn from them, or maintain long-term context across interactions.
What you could use it for
- Building multi-turn LLM agents that retain long-term context
- Implementing psychological memory models in AI systems
- Educational reference for cognitive architectures in LLMs
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.