# This CITATION.cff file was generated to help users cite YAMS in academic work.
# See https://citation-file-format.github.io/ for format specification.

cff-version: 1.2.0
title: "YAMS: Yet Another Memory System"
message: "If you use YAMS in your research, please cite it using the metadata from this file."
type: software
authors:
  - family-names: Williams
    given-names: Trevon
    email: git@trevon.dev
    orcid: ""  # Add ORCID if available
repository-code: "https://github.com/trvon/yams"
url: "https://yamsmemory.ai"
repository-artifact: "https://git.trevon.dev/trevon/yams"
abstract: >-
  YAMS (Yet Another Memory System) is an open-source hybrid retrieval system
  combining SQLite FTS5 full-text search with dense vector embeddings for
  semantic similarity. Designed as persistent memory for LLM applications,
  YAMS features content-addressed storage with SHA-256 hashing, block-level
  deduplication via Rabin chunking, real-time incremental indexing, and
  ONNX-accelerated embeddings. The hybrid search mechanism achieves
  state-of-the-art retrieval quality on standard benchmarks while maintaining
  low latency for interactive use cases.
keywords:
  - information-retrieval
  - hybrid-search
  - vector-search
  - full-text-search
  - semantic-search
  - embeddings
  - llm-memory
  - rag
  - retrieval-augmented-generation
  - sqlite
  - fts5
  - content-addressed-storage
  - deduplication
license: GPL-3.0-or-later
version: "0.20.5" # x-release-please-version
date-released: "2025-08-10"
identifiers:
  - type: url
    value: "https://github.com/trvon/yams"
    description: "GitHub repository"
  - type: url
    value: "https://git.trevon.dev/trevon/yams"
    description: "Self-hosted repository mirror"
preferred-citation:
  type: software
  title: "YAMS: Yet Another Memory System - Hybrid Retrieval for LLM Applications"
  authors:
    - family-names: Williams
      given-names: Trevon
  year: 2025
  url: "https://github.com/trvon/yams"
  license: GPL-3.0-or-later