ReactiveMemory FAQs

Question 1

Can ReactiveMemory handle changes in facts over time?

Accepted Answer

Yes, ReactiveMemory incorporates a temporal knowledge graph designed to reason over facts with lifetimes. This allows agents to track when facts became true, when they were superseded, and to navigate historical knowledge effectively.

Question 2

What are the primary benefits for AI agents and copilots?

Accepted Answer

ReactiveMemory enables AI agents and copilots to remember accumulated knowledge, project context, and decisions across sessions. It facilitates reasoning over facts with lifetimes, navigates stored information, and deduplicates incoming content for efficient, durable memory.

Question 3

Is ReactiveMemory's storage local or cloud-based?

Accepted Answer

All storage within ReactiveMemory is local and file-based. It operates without requiring external services or API keys, providing a self-contained, private, and easily deployable memory solution.

Question 4

What is ReactiveMemory?

Accepted Answer

ReactiveMemory provides AI assistants with a persistent, queryable, locally-stored memory system. It leverages vector search, a temporal knowledge graph, and a vault-structured content store to empower agents to remember and reason across sessions.

Question 5

How does ReactiveMemory organize stored information?

Accepted Answer

It organizes content hierarchically into Cores, Sectors, Vaults, and Drawers. This vault-structured system supports semantic vector search across content and temporal reasoning via a knowledge graph, ensuring structured and retrievable knowledge.

ReactiveMemory

ReactiveMemory

Características Principales

Casos de Uso

Características Principales

Casos de Uso