Neural Memory MCP Server
by nhadaututthekyio.github.nhadaututtheky/neural-memoryv4.27.2
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
context tax
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Active2d ago
Install Neural Memory MCP server
Install in Claude Code
claude mcp add neural-memory -- npx -y neural-memory-mcpInstall in Cursor
{
"mcpServers": {
"neural-memory": {
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"neural-memory": {
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"neural-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"neural-memory": {
"command": "npx",
"args": [
"-y",
"neural-memory-mcp"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
Active — last maintenance signal 2d ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-10-07 · 2d ago · GitHub
Latest release
2026-08-16 · 54d ago · GitHub · v4.62.0
Package published
no data · npm/PyPI
Registry entry updated
2026-04-02 · 6mo ago · official registry · v4.27.2
FAQ
›How do I install the Neural Memory MCP server in Claude Code?
Run: claude mcp add neural-memory -- npx -y neural-memory-mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Neural Memory require an API key?
No required environment variables are declared in its published metadata.
›Can I use Neural Memory as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Neural Memory in the official MCP registry?
Yes, as io.github.nhadaututtheky/neural-memory.
Alternatives to Neural Memory
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.