A high-performance, **pure Rust** Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents.
If you already use Memory MCP 1file, the memory mcp 1file mcp server is the piece that lets your assistant work with it directly. A high-performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents.
The server ships on npm as memory-mcp-1file, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Cursor — 1. Go to Cursor Settings > Features > MCP Servers. 2. Click + Add New MCP Server. 3. Type: command 4. Name: memory 5This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Memory MCP 1file's toolset — Cursor — is a fair guide to whether it matches your workflow. It is maintained by pomazanbohdan; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Memory MCP 1file's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Cursor | 1. Go to **Cursor Settings** > **Features** > **MCP Servers**. 2. Click **+ Add New MCP Server**. 3. **Type**: command 4. **Name**: memory 5. **Command**: npx -y memory-mcp-1file |
{
"mcpServers": {
"memory": {
"command": "docker",
"args": [
"run",
"--init",
"-i",
"--rm",
"--memory=3g",
"-v", "mcp-data:/data",
"-v", "/absolute/path/to/your/project:/project:ro",
"ghcr.io/pomazanbohdan/memory-mcp-1file:latest"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.