AuraSDK Local Memory Engine

Example Use Cases

• 1

  Persistent, fast local memory without relying on cloud or LLM calls.

• 2

  Trust, provenance, and encryption in memory storage.

• 3

  Semantic memory types and adaptive memory with feedback learning.

Description

AuraSDK provides a fast, fully offline local memory engine designed for AI agents to remember user preferences, decisions, and facts with sub-millisecond recall latency. It features a two-tier memory system with semantic memory types, trust and provenance tracking, encryption, and adaptive memory capabilities. The MCP server integration allows persistent memory for agents like Claude Desktop, enhancing agent continuity without API calls or cloud reliance.