Help users set up and configure their AI assistant environments by managing a structured Memory Bank for context preservation. Provide detailed information about Memory Bank file structures, generate templates for Memory Bank files, and analyze project summaries to suggest relevant Memory Bank content. Facilitate organized documentation to enhance AI context management and project understanding.
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Overview
what is Memory Bank?
Memory Bank is a structured documentation system designed to help users set up and configure their AI assistant environments by managing a Memory Bank for context preservation.
how to use Memory Bank?
To use Memory Bank, you can set it up through various methods including using Smithery, SSE, Docker, or manually running the server. Configuration is done via the mcp.json file.
key features of Memory Bank?
- Detailed information about Memory Bank file structures
- Generation of templates for Memory Bank files
- Analysis of project summaries to suggest relevant Memory Bank content
use cases of Memory Bank?
- Organizing documentation for AI projects
- Enhancing context management for AI assistants
- Providing structured templates for project documentation
FAQ from Memory Bank?
- What is the purpose of Memory Bank?
Memory Bank helps in preserving context for AI assistants by providing a structured way to document and manage information.
- Can I use Memory Bank with Docker?
Yes! Memory Bank can be set up using Docker as one of the installation methods.
- How do I generate a template for a Memory Bank file?
You can use the
generate_memory_bank_templatetool to create templates for specific Memory Bank files.
Server Config
{
"mcpServers": {
"memory-bank": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"19283744/mcp-memory-bank:latest"
]
}
}
}