"author:donggyun112" matching MCP servers:

Enables LLM agents to use associative memory with key/value graph-based retrieval, supporting multi-hop traversal and human-like associative leaps beyond embedding similarity.

Associative key-graph memory for LLM agents — recall facts by association (recall → read_key → read_memory) instead of vector similarity alone, with persistent cross-session memory and cross-lingual keys.

Provides local static-analysis tools for Python that let coding agents trace call paths, branch guards, side effects, and change impact, producing citation-ready answers with explicit uncertainty signals.