9c0ae972caCo-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
57 lines
1.9 KiB
YAML
57 lines
1.9 KiB
YAML
# This CITATION.cff file was generated to help users cite YAMS in academic work.
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# See https://citation-file-format.github.io/ for format specification.
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cff-version: 1.2.0
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title: "YAMS: Yet Another Memory System"
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message: "If you use YAMS in your research, please cite it using the metadata from this file."
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type: software
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authors:
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- family-names: Williams
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given-names: Trevon
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email: git@trevon.dev
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orcid: "" # Add ORCID if available
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repository-code: "https://github.com/trvon/yams"
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url: "https://yamsmemory.ai"
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repository-artifact: "https://sr.ht/~trvon/yams/"
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abstract: >-
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YAMS (Yet Another Memory System) is an open-source hybrid retrieval system
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combining SQLite FTS5 full-text search with dense vector embeddings for
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semantic similarity. Designed as persistent memory for LLM applications,
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YAMS features content-addressed storage with SHA-256 hashing, block-level
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deduplication via Rabin chunking, real-time incremental indexing, and
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ONNX-accelerated embeddings. The hybrid search mechanism achieves
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state-of-the-art retrieval quality on standard benchmarks while maintaining
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low latency for interactive use cases.
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keywords:
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- information-retrieval
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- hybrid-search
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- vector-search
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- full-text-search
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- semantic-search
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- embeddings
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- llm-memory
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- rag
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- retrieval-augmented-generation
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- sqlite
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- fts5
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- content-addressed-storage
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- deduplication
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license: GPL-3.0-or-later
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version: "0.10.0" # x-release-please-version
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date-released: "2025-08-10"
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identifiers:
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- type: url
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value: "https://github.com/trvon/yams"
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description: "GitHub repository"
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- type: url
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value: "https://sr.ht/~trvon/yams/"
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description: "SourceHut repository"
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preferred-citation:
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type: software
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title: "YAMS: Yet Another Memory System - Hybrid Retrieval for LLM Applications"
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authors:
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- family-names: Williams
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given-names: Trevon
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year: 2025
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url: "https://github.com/trvon/yams"
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license: GPL-3.0-or-later
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