Conxt Memory Layer

Name: Conxt Memory Layer
Author: pgavali0318

@pgavali0318

关于 Conxt Memory Layer

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

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

pgavali0318

提交者

Priyadarshi Gavali

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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