ndlss Memory vs Semantic Context

Local semantic search and knowledge retrieval layer for Git repositories using Qdrant vector storage, with hybrid BM25 and vector search, delta indexing, and Docker-based deployment.

Provides semantic code search across large codebases using ChromaDB vector storage and configurable embeddings, enabling indexing of local project directories with 50+ file type support and retrieval of code snippets with metadata tracking for development teams building knowledge bases and code navi

MCP Servers

MCP Servers

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TypeScript

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MIT

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