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README.md

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make OMIT_LOCAL_ENGINE=1 OMIT_REMOTE_ENGINE=0 OMIT_IO=0
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```
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## License
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MIT License - see [LICENSE](LICENSE) for details.
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*sqlite-memory is part of the [SQLite AI](https://sqlite.ai) project, bringing AI capabilities to the world's most deployed database.*
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## Part of the SQLite AI Ecosystem
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This project is part of the **SQLite AI** ecosystem, a collection of extensions that bring modern AI capabilities to the world’s most widely deployed database. The goal is to make SQLite the default data and inference engine for Edge AI applications.
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Other projects in the ecosystem include:
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- **[SQLite-AI](https://github.com/sqliteai/sqlite-ai)** — On-device inference and embedding generation directly inside SQLite.
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- **[SQLite-Memory](https://github.com/sqliteai/sqlite-memory)** — Markdown-based AI agent memory with semantic search.
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- **[SQLite-Vector](https://github.com/sqliteai/sqlite-vector)** — Ultra-efficient vector search for embeddings stored as BLOBs in standard SQLite tables.
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- **[SQLite-Sync](https://github.com/sqliteai/sqlite-sync)** — Local-first CRDT-based synchronization for seamless, conflict-free data sync and real-time collaboration across devices.
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- **[SQLite-Agent](https://github.com/sqliteai/sqlite-agent)** — Run autonomous AI agents directly from within SQLite databases.
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- **[SQLite-MCP](https://github.com/sqliteai/sqlite-mcp)** — Connect SQLite databases to MCP servers and invoke their tools.
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- **[SQLite-JS](https://github.com/sqliteai/sqlite-js)** — Create custom SQLite functions using JavaScript.
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- **[Liteparser](https://github.com/sqliteai/liteparser)** — A highly efficient and fully compliant SQLite SQL parser.
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Learn more at **[sqlite.ai](https://sqlite.ai)**.

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