Spectron is a persistent agent memory layer built on SurrealDB. It provides knowledge graphs, automatic entity extraction, GraphRAG support, temporal facts, and hybrid retrieval for accurate context recall. Spectron enables AI agents to maintain long-term memory with high accuracy by combining graph structure, vector similarity, and time-aware facts in a single system.
Why Spectron?
Spectron was built to resolve a problem faced by users of AI agents in which the agents themselves end up being little more than chatbots. Without an awareness of use preferences or structured memory to understand the relationship between entities, agents are unable to accumulate context or coordinate with each other.
Details
Spectron will be coming soon, along with the documentation for how to use it. In the meantime, please see this page for a top-level overview.