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.
Remember Me MCP Server
@phlax
Basic information
About Remember Me MCP Server
MCP server to persist chat artefacts and rules
Remember Me MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"remember-me": {
"command": "python",
"args": [
"-m",
"mcp.server.run",
"remember_me_mcp_server.server"
]
}
}
}Remember Me MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Remember Me?
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.
How to use Remember Me?
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.
Key features of Remember Me
- Centralized context manager (MyContext) for all persistence operations
- Rule system with MUST, MUST NOT, SHOULD, SHOULD NOT, and MAY policies
- Snippet management for reusable code or text fragments
- Summary management for preserving conversational context
- Backup and restore of entire context states
- Namespaced resources via “context” parameter (e.g., “me” for global)
Use cases of Remember Me
- Defining behavior guidelines that an LLM must follow across all conversations
- Storing reusable code snippets or text fragments for quick retrieval
- Preserving important contextual summaries between chat sessions
- Organizing different rule sets for different tasks (e.g., coding, creative writing)
- Creating backups before making major changes to conversational state
Frequently asked questions
How do I load extra contexts beyond the “me” context?
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.
What types of resources does Remember Me support?
Remember Me supports three resource types: Rules (behavior constraints), Snippets (reusable code or text fragments), and Summaries (important contextual information).
How do backup and restore work?
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()`.
What are the dependencies for running Remember Me?
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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