fredac100/elasticsearch-memory-mcp
🧠Elasticsearch-powered MCP server with hierarchical memory categorization, intelligent auto-detection, and batch review capabilities
This tool helps AI developers and prompt engineers manage the 'memory' of AI models, making them more effective and consistent. It takes raw textual information, automatically organizes it into categories like identity or project details, and then provides a structured set of relevant memories for the AI to use. This results in AI models that can maintain context better and respond more appropriately in complex, ongoing interactions.
No commits in the last 6 months. Available on PyPI.
Use this if you are building AI applications or agents and need a robust, persistent way to store, organize, and retrieve specific pieces of information ('memories') for your AI to access.
Not ideal if you don't work with AI models or if you need a simple key-value store without advanced categorization or semantic search capabilities.
Stars
7
Forks
2
Language
Python
License
MIT
Category
Last pushed
Oct 05, 2025
Commits (30d)
0
Dependencies
5
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