YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vector embeddings.
Cross-referenced across 55 tracked directories
#2872
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
9/30/2025
Created
2
GitHub Stars
11/16/2025
Last Commit
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