Give ChatGPT + Claude infinite memory, here's how

Key Concepts

• Infinite Memory (100% Local & Private): The primary objective, enabling AI agents like "ch and cloth" to retain and access an unlimited amount of past information, stored and processed entirely on the user's local machine without external server reliance.
• Cloth Code: An application or environment where the configuration for local memory management is performed.
• MCP (Memory Control Protocol/Process): Refers to a server-side component responsible for managing and serving the local, private memory to the agents.
• cloth desktop config.json: The main configuration file for the cloth desktop application, where settings for the MCP server are defined.
• uv run python: A command-line instruction used to execute a Python server, likely leveraging an ASGI server like Uvicorn, to start the MCP.
• server.py: The specific Python script that implements and runs the MCP server logic.

Achieving 100% Local and Private Infinite Memory for Cloth Agents

The core objective outlined is to configure "ch and cloth" agents to possess "infinite memory" that is entirely local and private, ensuring all data processing and storage occurs on the user's machine. This setup is crucial for privacy and control over agent memory.

Step-by-Step Configuration Process

The process involves modifying the cloth desktop application's configuration and then initiating a local Memory Control Protocol (MCP) server.

1. Accessing Cloth Code Settings:

   • Begin by opening the cloth code application.
   • Navigate to the sidebar within the application interface.
   • Scroll down to the very bottom of the sidebar.
   • Click on the user icon or name.
   • Select settings from the subsequent menu.

2. Locating and Editing Developer Configuration:

   • Within the settings panel, scroll to the bottom again.
   • Find and click on the developer option.
   • Select edit config. This action will open a specific configuration file named cloth desktop config.json.
   • This cloth desktop config.json file needs to be opened in any preferred text editor or code editor (e.g., cursor, cloth code, or codex) for modification.

3. Modifying cloth desktop config.json for MCP Integration:

   • The next step involves integrating a new MCP configuration into the cloth desktop config.json file.
   • The instruction is to "copy the mcp.json" content and "update cloth by adding this new mcp at the bottom."
   • A critical detail is to "update the schema of this second MCP to follow the setup from the screenshot," implying a specific structure or format for the MCP configuration.
   • Crucially, the directory path within this new MCP configuration must be maintained as specified, and the speaker explicitly copies the directory of their folder, indicating a specific local path where the MCP server components reside.

4. Starting the Local MCP Server:

   • After saving the changes to cloth desktop config.json, the cloud desktop application (likely referring to cloth desktop) must be closed.
   • Open a terminal or command prompt.
   • Change the directory (CD) to the me agent MCP folder. This is the specific folder containing the MCP server's executable files.
   • Initiate the MCP server by executing the command: uv run python [path to server.py]. The server.py file is located within the me agent MCP folder. This command starts the actual MCP server, which clo (likely a component of cloth or the agent itself) can then access to utilize the locally managed "infinite memory."

Conclusion

This detailed process enables users to establish a fully local and private "infinite memory" system for their "ch and cloth" agents. By configuring cloth desktop config.json and running a dedicated MCP server locally, the system ensures that all agent memory operations are handled on the user's machine, providing complete control, privacy, and potentially enhanced performance by eliminating reliance on external cloud services. The setup leverages specific configuration files and command-line tools to achieve this localized memory management.