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kernel-memory
Study how to build document indexing, retrieval, and cited memory for AI applications.
Study how to build document indexing, retrieval, and cited memory for AI applications.
Kernel Memory is a reference implementation for turning documents into an AI memory layer through extraction, chunking, indexing, retrieval-augmented generation, and source citations. It can run as an asynchronous service or as an embedded component in .NET applications. The repository is archived and explicitly presented as unsupported research code, so it should be used for learning and architectural reference rather than production deployment.
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Public GitHub facts last synced Jul 14, 2026.
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