Update README.md

Author: marcobambini

README.md

@@ -180,19 +180,32 @@ The agent operates through an iterative loop:
 5. Continues until goal achieved or max iterations reached
 6. Returns final result
 
-## Related Projects
-
-- [sqlite-mcp](https://github.com/sqliteai/sqlite-mcp) – Model Context Protocol client for SQLite
-- [sqlite-ai](https://github.com/sqliteai/sqlite-ai) – AI/ML inference and embeddings for SQLite
-- [sqlite-vector](https://github.com/sqliteai/sqlite-vector) – Vector search capabilities for SQLite
-- [sqlite-sync](https://github.com/sqliteai/sqlite-sync) – Cloud synchronization for SQLite
-- [sqlite-js](https://github.com/sqliteai/sqlite-js) – JavaScript engine integration for SQLite
-
 ## Support
 
 - [GitHub Issues](https://github.com/sqliteai/sqlite-agent/issues)
 - [SQLite Extension Load Guide](https://github.com/sqliteai/sqlite-extensions-guide)
 
+---
+
 ## License
 
 This project is licensed under the [Elastic License 2.0](./LICENSE). You can use, copy, modify, and distribute it under the terms of the license for non-production use. For production or managed service use, please [contact SQLite Cloud, Inc](mailto:info@sqlitecloud.io) for a commercial license.
+
+---
+
+## Part of the SQLite AI Ecosystem
+
+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.
+
+Other projects in the ecosystem include:
+
+- **[SQLite-AI](https://github.com/sqliteai/sqlite-ai)** — On-device inference and embedding generation directly inside SQLite.
+- **[SQLite-Memory](https://github.com/sqliteai/sqlite-memory)** — Markdown-based AI agent memory with semantic search.
+- **[SQLite-Vector](https://github.com/sqliteai/sqlite-vector)** — Ultra-efficient vector search for embeddings stored as BLOBs in standard SQLite tables.
+- **[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.
+- **[SQLite-Agent](https://github.com/sqliteai/sqlite-agent)** — Run autonomous AI agents directly from within SQLite databases.
+- **[SQLite-MCP](https://github.com/sqliteai/sqlite-mcp)** — Connect SQLite databases to MCP servers and invoke their tools.
+- **[SQLite-JS](https://github.com/sqliteai/sqlite-js)** — Create custom SQLite functions using JavaScript.
+- **[Liteparser](https://github.com/sqliteai/liteparser)** — A highly efficient and fully compliant SQLite SQL parser.
+
+Learn more at **[SQLite AI](https://sqlite.ai)**.