Vectr vs Codebase Memory Mcp

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Vectr
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💻 Developer Tools
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SummarySemantic codebase search + persistent working memory for AI code editors. Hybrid dense + BM25 search over AST-aware chunks, a symbol graph for locate/trace, and typed notes that survive context compaction and session restarts. Local embeddings, zero config, no API key. pip install vectrCode-intelligence engine that indexes a repo into a persistent knowledge graph — functions, classes, call chains, HTTP routes, cross-service links. 159 languages via tree-sitter + Hybrid LSP, sub-ms structural queries, 99% fewer tokens than grep. Single static binary, zero dependencies, 100% local. npx codebase-memory-mcp
Quality signal23/100 (Emerging)33/100 (Emerging)
Install pathpip · highnpx · high
Engagement 0 0 0 0 0 0 37,079
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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