Neo4j Agent Memory Server

AI 与智能体

by knowall-ai

Neo4j Agent Memory enables AI assistants to build and query persistent knowledge graphs. Store information as nodes, create meaningful relationships between them, and search across your connected data. Unlike simple key-value stores, this graph-based approach captures how information relates, providing rich context for more intelligent responses. ### Key Features: * **Store facts as nodes** - people, places, organizations, projects, events * **Connect with semantic relationships** - KNOWS, WORK

View Chinese version with editor review

Tools (9)

search_memories

Search and retrieve memories from the knowledge graph

create_memory

Create a new memory in the knowledge graph. Consider that the memory might already exist, so Search → Create → Connect (its important to try and connect memories)

create_connection

Create a connection between two memories (its good to have connected memories)

update_memory

Update properties of an existing memory such as adding more detail or make a change when you find out something new

update_connection

Update properties of an existing connection between memories

delete_memory

Delete a memory and all its connections (use with caution - this permanently removes the memory and all its connections)

delete_connection

Delete a specific connection between two memories (use with caution - this permanently removes the relationship)

list_memory_labels

List all unique memory labels currently in use with their counts (useful for getting an overview of the knowledge graph)

get_guidance

Get help on using the memory tools effectively

Related MCP Servers

Memory

Persistent memory using a local knowledge graph for long-term context.

83.1k
Sequential Thinking

Dynamic problem-solving through sequential thought processes.

83.1k
PraisonAI

AI Agents Framework with Self Reflection and MCP support

6.8k