What is the “me” context?
The “me” context is a special default context always available. It contains global rules, snippets, and summaries that apply to every conversation. When loading context, the “me” context is always included automatically.
@phlax
基本信息
MCP server to persist chat artefacts and rules
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"remember-me": {
"command": "python",
"args": [
"-m",
"mcp.server.run",
"remember_me_mcp_server.server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
Remember Me is a persistence framework for maintaining conversational context and rules in MCP-based language model applications. It stores, retrieves, and manages persistent resources like rules, snippets, and summaries using SQLite, and is designed for developers building LLM applications that need durable context across conversations.
Install the package with pip install -e ., then run the MCP server with python -m mcp.server.run remember_me_mcp_server.server. Configure your LLM platform to connect to the MCP server and expose the tools. In conversations, the LLM should first load the context and then follow any rules returned.
The “me” context is a special default context always available. It contains global rules, snippets, and summaries that apply to every conversation. When loading context, the “me” context is always included automatically.
You can load additional contexts by specifying them in the `extra_context` parameter. This allows organizing different sets of resources for different conversation types, such as a “coding” context with programming snippets.
Remember Me supports three resource types: Rules (behavior constraints), Snippets (reusable code or text fragments), and Summaries (important contextual information).
You can create a backup of the current state with `my_context_backup_create()`, list available backups with `my_context_backup_list()`, restore from a backup with `my_context_backup_restore()`, and remove backups individually or clear all with `my_context_backup_remove()` and `my_context_backup_clear()`.
The server runs on Python and uses SQLite for persistence. It communicates via the MCP protocol and requires an MCP‑compatible LLM platform to expose its tools.

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