SerialMemory Temporal Knowledge Graph

Example Use Cases

• 1

  Persistent semantic memory with context and relationship tracking.

• 2

  Multi-hop reasoning over a knowledge graph of entities and events.

• 3

  That require secure, multi-tenant memory storage with temporal confidence decay.

Description

SerialMemoryServer offers a 'second brain' for AI agents by storing and organizing memories with semantic embeddings, entity extraction, and a knowledge graph that supports multi-hop reasoning. It features temporal tracking with confidence decay, multi-tenant data isolation, and integration with AI platforms via the Model Context Protocol (MCP). The system supports self-hosting with a REST API and SDKs for .NET and Node.js, enabling AI agents to maintain context and learn from past interactions effectively.