md-first memory extraction framework for AI agents. Markdown is the single source of truth; SQLite holds state and LanceDB provides the rebuildable vector + BM25 + scalar index. The codebase follows a single-direction DDD layering (entrypoints -> service -> memory -> infra, with component / core / config cross-cutting) enforced by import-linter. Engineering surface: - Coding conventions in .claude/rules/ (path-scoped) and workflows in .claude/skills/ (/commit, /new-branch, /pr). - GitHub Actions CI runs make lint + test + integration; pre-commit mirrors the gates locally (ruff, hygiene hooks, gitlint commit-msg). - Commit messages follow Conventional Commits, enforced by gitlint. - make lint also enforces datetime two-zone discipline and OpenAPI drift.
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1.2 KiB
Markdown
66 lines
1.2 KiB
Markdown
# Citation
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[Home](README.md) > [Docs](docs/index.md) > Citation
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If you use **EverOS** in research or a published project, the suggested
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citation forms are below.
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---
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## Paper
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📄 **Paper coming soon** — a technical paper is in preparation.
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```
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Coming soon
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```
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BibTeX citation information will be added here once the paper is published.
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---
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## BibTeX
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```bibtex
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% Will be added when the paper is published
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```
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---
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## Software citation
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To cite the software itself:
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```
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EverOS: md-first memory extraction framework for AI agents
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Version: 1.0.0
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URL: https://github.com/EverMind-AI/EverOS
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License: Apache 2.0
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```
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---
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## Acknowledgments in your work
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If you use EverOS, we appreciate:
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- Citing the paper (when available)
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- Starring the GitHub repository
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- Mentioning EverOS in your acknowledgments section
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---
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## Stay updated
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- Watch the [GitHub repository](https://github.com/EverMind-AI/EverOS) for paper announcements
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- Follow [@EverMindAI](https://x.com/EverMindAI) on X / Twitter
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- Join [GitHub Discussions](https://github.com/EverMind-AI/EverOS/discussions)
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---
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## See also
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- [Overview](docs/overview.md)
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- [Acknowledgments](ACKNOWLEDGMENTS.md)
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- [Changelog](CHANGELOG.md)
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