ndlss Memory
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.
About
Provides a self-hosted memory layer that indexes workspace files using vector embeddings and semantic chunking, storing vectors and metadata in Qdrant. Supports multiple indexing modes including full-scan, delta-after-commit for Git repositories, and continuous watch mode for incremental updates. Features hybrid search combining BM25 lexical matching with vector similarity and optional reranking for documentation queries. Distributed as Docker Compose presets optimized for Python, TypeScript, JavaScript, Java/Kotlin, C#, Go, and generic polyglot repositories.
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