Anamnese

v1.0.0Knowledge & Memorystable

A self-improving memory layer. Your memory, notes, tasks and goals, remembered everywhere.

app-anamneseai-anamnesemcpai-integration
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What is Anamnese?

Anamnese is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to self-improving memory layer. your memory, notes, tasks and goals, remembered everywhere.

A self-improving memory layer. Your memory, notes, tasks and goals, remembered everywhere.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A self-improving memory layer. Your memory, notes, tasks and

Use Cases

Store and retrieve memories across all conversations and tools.
Track notes, tasks, and goals with self-improving memory.
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMar 17, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx app-anamneseai-anamnese

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Anamnese

What is Anamnese?

Anamnese is a Model Context Protocol (MCP) server that self-improving memory layer. your memory, notes, tasks and goals, remembered everywhere. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Anamnese?

Follow the installation instructions on the Anamnese GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Anamnese?

Anamnese works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Anamnese free to use?

Yes, Anamnese is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "app-anamneseai-anamnese": { "command": "npx", "args": ["-y", "app-anamneseai-anamnese"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Anamnese?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

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