chatmcp_memory
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@chatmcp_memorywhat did we discuss about project plans?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
chatmcp_memory
An MCP server able to give large language models the power to remember. Only supports daodao97/chatmcp
Principle
daodao97/chatmcp uses SQLite to store chat history between users and the LLM. Therefore, chatmcp_memory can directly query SQLite to retrieve previous conversations, achieving memory retrieval.
Related MCP server: GPT OpenMemory MCP Server
Usage
chatmcp_memory will attempt to automatically discover the location of chatmcp.db.
Of course, it can also be specified via environment variables.
export DB_FILE_PATH=/tmp/chatmcp.db1. use with uvx
"mcpServers": {
"chatmcp_memory": {
"command": "uvx",
"args": ["chatmcp_memory"]
}
}2.Install and Run
pip install chatmcp_memoryMethod 1: Run with transport 'stdio'
python3 -m chatmcp_memoryMethod 2: Run with transport 'streamable-http'
python3 -m chatmcp_memory --http --bind="127.0.0.1" --port=8090Server URL: http://127.0.0.1:8090/mcp/
This server cannot be installed
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