Knowledge Graph Memory Server

A knowledge graph server that provides persistent, multi-context memory for AI models.

MCP memory server with Hebbian learning — concept connections strengthen through co-activation and weaken through disuse.

Provides persistent memory for AI models using a local knowledge graph.

Provides AI assistants with persistent memory using ChromaDB vector storage.

Deterministic O(1) memory for AI agents — local-first, MCP-native, with multi-agent speaker attribution and millisecond recall.

An MCP server for graph-based memory management, enabling AI to create, retrieve, and manage knowledge entities and their relationships.

A distributed memory bank MCP tool that stores memories in a KùzuDB graph database, with repository and branch filtering capabilities.

A desktop application for managing and interacting with the MCP Memory Service, a semantic memory system built on the Model Context Protocol.

A scalable knowledge graph memory system for LLMs with semantic retrieval and temporal awareness, using Neo4j as a backend.

A knowledge graph memory server using the Neo4j graph database to store and retrieve information from AI interactions.

Structured business ontology giving AI agents deterministic access to institutional reasoning — 18 MCP tools, Dolt backend, 0% → 100% "why?" recall vs Markdown+RAG.