Synaptic Memory

Synaptic Memory provides a brain-inspired knowledge graph solution for LLM agents, enabling them to overcome common limitations like forgetting and repeating mistakes. It allows agents to automatically structure their operational data – including tool calls, decisions, outcomes, and lessons – into an auto-constructed ontology. This structured approach facilitates self-retrieval, Hebbian learning from experience, and multi-tiered memory consolidation, moving beyond traditional RAG to provide agents with rich, contextualized past experiences for more effective reasoning and decision-making.

Key Features

Use Cases