NeuralMemory stores experiences as interconnected neurons and recalls them through spreading activation, mimicking how the human brain works. Instead of searching a database, memories are retrieved through associative recall - activating related concepts until the relevant memory emerges.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add neural-memory -- npx -y neural-memory-mcp~/.codex/config.toml
[mcp_servers.neural-memory]
command = "npx"
args = ["-y", "neural-memory-mcp"]
# codex mcp add neural-memory -- npx -y neural-memory-mcp~/.cursor/mcp.json
{
"mcpServers": {
"neural-memory": {
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}.vscode/mcp.json
{
"servers": {
"neural-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"neural-memory": {
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"neural-memory": {
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"neural-memory": {
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}