Where is the source code for Turbo Quant Memory?
The source code is linked from the repository URL on this page.
@Lexus2016
基本情報
Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"turbo_quant_memory": {
"command": "uv",
"args": [
"tool",
"install",
"turbo-quant-memory"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.
Follow the repository README to install the server and add its MCP configuration to your client.
The source code is linked from the repository URL on this page.
If the README contains a parseable MCP configuration block, it is shown in the Config tab.

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference

Sooveryn gives Claude Code a team of AI personas that remembers your project. Soov, the partner and team lead, keeps your decisions and how you work in a lasting memory, and finds them again by words and by meaning, from

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age
Memlord is a remote MCP server available at https://app.memlord.com.

Model Context Protocol Servers
コメント