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Conxt Memory Layer

@pgavali0318

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Conxt Memory Layer について

Persistent AI memory layer for developers. Stores decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf. 8 MCP tools including get_context, add_memory, search_decisions, and team workspaces. Never re-explain your st

#memory#developer-tools#productivity#cursor#claude#ai-agents

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

pgavali0318

投稿者

Priyadarshi Gavali

設定

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": {
    "conxt": {
      "url": "https://mcp.conxt.dev/mcp/",
      "headers": {
        "Authorization": "Bearer YOUR_CNXT_API_KEY"
      }
    }
  }
}

ツール

ツールは検出されませんでした

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。

概要

What is Conxt Memory Layer?

Conxt Memory Layer is a persistent AI memory layer for developers. It stores decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf, providing 8 MCP tools including get_context, add_memory, search_decisions, and team workspaces.

How to use Conxt Memory Layer?

The README does not provide installation, configuration, or invocation instructions. Refer to the server's documentation for details.

Key features of Conxt Memory Layer

  • Persistent AI memory across multiple platforms
  • Supports Claude, ChatGPT, Gemini, Cursor, Windsurf
  • 8 MCP tools: get_context, add_memory, search_decisions
  • Team workspaces for shared memory
  • Stores decisions, coding rules, preferences, workflows

Use cases of Conxt Memory Layer

  • Avoid re-explaining your preferences to different AI assistants
  • Maintain consistent coding rules across tools and sessions
  • Share team memory for collaborative development workflows

FAQ from Conxt Memory Layer

Which AI platforms does it work with?

Claude, ChatGPT, Gemini, Cursor, and Windsurf.

What tools does it provide?

8 MCP tools including get_context, add_memory, search_decisions, and team workspaces.

Is it for individual or team use?

It supports both individual and team workspaces.

What kind of data does it store?

Decisions, coding rules, preferences, tool choices, and workflows.

Are there any known limitations?

—

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