Eventually, you might develop compact tools enhancing AI operational efficiency. A repository search engine represents the most apparent need—at smaller scales the index file suffices, but expanding repositories benefit from proper search functionality. qmd presents a viable option: it's a local markdown search engine combining BM25/vector search with AI re-ranking, entirely device-local. It offers both CLI (enabling AI shell access) and MCP server (allowing native tool integration). You could also develop simpler custom solutions—the AI can assist in creating basic search scripts as requirements emerge.
未来一段时间，伊朗局势演变、能源市场波动以及中美经贸谈判进展，将共同决定两国关系的下一步发展。
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