gengisb/QCLI-memories-mcp
If you are the rightful owner of QCLI-memories-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
MCP Memory Server is a contextual memory system for CLI tools, aiding developers and cloud engineers by persisting critical information across sessions.
The MCP Memory Server is designed to enhance AI assistants by providing a contextual memory system that remembers user preferences, code, and architecture decisions. It supports developers and cloud engineers by storing and retrieving key details from previous sessions, such as personal preferences, programming languages, AWS configurations, and project-specific requirements. This results in a personalized experience that adapts to individual workflows, reducing the need to repeatedly explain technical context. Currently, it supports a local memory database through SQLite, with plans to expand to cloud-based memory.
Features
- 🧠 Intelligent Memory Storage: Automatically identifies and stores important information from conversations, categorizing it with tags like #code, #architecture, #personal, and #project.
- 🔍 Contextual Retrieval: Allows retrieval of memories through exact key lookup, keyword search, and context-based inference.
- 👥 Multi-User Support: Identifies users from conversation context, maintains separate memory spaces, and allows shared project contexts.
- 🔄 Progressive Learning: Builds memory over time, improving understanding of user preferences, project requirements, workflows, and challenges.
Usages
local integration
{
"mcp-server-memories": {
"command": "python",
"args": [
"PATH_TO_YOUR_FILE/memories_server.py"
],
"env": {}
}
}
