MemoryMesh is a knowledge graph server that provides structured memory persistence for AI models. It exposes a graph database for storing and querying relationships between entities. It connects to Neo4j for graph storage and retrieval. Developers use it to build AI agents that remember and reason about complex relationships.
MemoryMesh is a knowledge graph server that provides structured memory persistence for AI models. It exposes a graph database for storing and querying relationships between entities. It connects to Neo4j for graph storage and retrieval. Developers use it to build AI agents that remember and reason about complex relationships.
npx -y memorymeshAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"chemiguel23-memorymesh-github": {
"command": "npx",
"args": [
"-y",
"npx -y memorymesh"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MemoryMesh?"
No configuration required. This server works out of the box.
"What resources are available in MemoryMesh?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MemoryMesh"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MemoryMesh with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.