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Hello! I'd like to add MCP Memory Service to the Python General-Purpose Machine Learning section.

About MCP Memory Service:
MCP Memory Service is a universal memory service that provides semantic search, autonomous memory consolidation, and multi-client support for AI applications and ML development environments.

Why it fits in this section:

  • Uses sentence transformers and vector embeddings for semantic search
  • Implements ML-inspired autonomous memory consolidation algorithms
  • Built on PyTorch with support for CUDA, MPS, DirectML, ROCm
  • Provides intelligent memory capabilities for ML development workflows
  • Production-ready with SQLite-vec and ChromaDB backends

Repository Details:

  • Language: Python 3.10+
  • Dependencies: sentence-transformers, PyTorch, FastAPI
  • License: Apache 2.0
  • Status: Actively maintained with regular updates

The project has been in development for several months, is production-ready, and provides valuable ML infrastructure for the Python ecosystem.

Thank you for considering this addition!

MCP Memory Service is a universal memory service that provides:
- Semantic search using sentence transformers and vector embeddings
- Autonomous memory consolidation with ML-inspired algorithms
- Multi-client support for 13+ AI applications (Claude Desktop, VS Code, Cursor, etc.)
- Production-ready deployment with SQLite-vec and ChromaDB backends
- Model Context Protocol (MCP) server implementation for AI assistants

The service enables persistent memory and intelligent search capabilities
for AI applications and ML development environments, making it a valuable
addition to the Python machine learning ecosystem.
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