|
| 1 | +<div align="center"> |
| 2 | + <a href="https://sqlite.ai"> |
| 3 | + <img src="https://www.sqlite.ai/social/logo-ai.png" alt="SQLite AI" height="56"> |
| 4 | + </a> |
| 5 | + |
| 6 | + <h1>SQLite-Agent</h1> |
| 7 | + <p><strong>Autonomous AI agents that run inside SQLite.</strong><br> |
| 8 | + Define agents in SQL, give them tools and memory, run them locally. Built on sqlite-ai, sqlite-memory, and sqlite-mcp. No orchestration server required.</p> |
| 9 | + |
| 10 | + <p> |
| 11 | + <a href="https://dashboard.sqlitecloud.io/auth/sign-in"><strong>Free managed instance →</strong></a> · |
| 12 | + <a href="https://docs.sqlitecloud.io/docs/ai-overview">Docs</a> · |
| 13 | + <a href="https://sqlite.ai">Website</a> · |
| 14 | + <a href="https://blog.sqlite.ai">Blog</a> |
| 15 | + </p> |
| 16 | + |
| 17 | + <p> |
| 18 | + <sub><strong>Data:</strong> |
| 19 | + <a href="https://github.com/sqliteai/sqlite-vector">Vector</a> · |
| 20 | + <a href="https://github.com/sqliteai/sqlite-sync">Sync</a> · |
| 21 | + <a href="https://github.com/sqliteai/sqlite-columnar">Columnar</a> · |
| 22 | + <a href="https://github.com/sqliteai/sqlite-js">JS</a> |
| 23 | + <br> |
| 24 | + <strong>AI:</strong> |
| 25 | + <a href="https://github.com/sqliteai/sqlite-ai">AI</a> · |
| 26 | + <a href="https://github.com/sqliteai/sqlite-agent">Agent</a> · |
| 27 | + <a href="https://github.com/sqliteai/sqlite-memory">Memory</a> · |
| 28 | + <a href="https://github.com/sqliteai/sqlite-mcp">MCP</a> |
| 29 | + </sub> |
| 30 | + </p> |
| 31 | +</div> |
| 32 | + |
| 33 | +<br> |
| 34 | + |
| 35 | +> **Running agents in production?** SQLite-Agent works standalone; **[SQLite Cloud](https://dashboard.sqlitecloud.io/auth/sign-in)** adds shared agent state, webhooks, edge functions, and observability across a fleet of agents. Free tier available. |
| 36 | +
|
| 37 | +--- |
| 38 | + |
1 | 39 | # SQLite Agent |
2 | 40 |
|
3 | 41 | **SQLite Agent** is a cross-platform SQLite extension that brings autonomous AI agents to your database. It enables databases to run multi-step, tool-using agents that fetch data from external sources (web, APIs, etc.) through [sqlite-mcp](https://github.com/sqliteai/sqlite-mcp) and populate database tables. The extracted data can then be analyzed by LLMs, displayed in UIs, or used in applications. |
@@ -193,19 +231,31 @@ This project is licensed under the [Elastic License 2.0](./LICENSE). You can use |
193 | 231 |
|
194 | 232 | --- |
195 | 233 |
|
196 | | -## Part of the SQLite AI Ecosystem |
| 234 | +## ☁️ Hosted version |
| 235 | + |
| 236 | +Coordinating multiple agents in production? **[SQLite Cloud](https://sqlite.ai)** is the managed backbone for SQLite-Agent — shared state, webhooks, REST APIs, and observability for fleets of autonomous agents. |
| 237 | + |
| 238 | +[**Start free →**](https://dashboard.sqlitecloud.io/auth/sign-in) |
| 239 | + |
| 240 | +--- |
| 241 | + |
| 242 | +## Part of the SQLite AI stack |
| 243 | + |
| 244 | +SQLite-Agent is one piece of a larger ecosystem that turns SQLite into a runtime for intelligent, distributed data: |
197 | 245 |
|
198 | | -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. |
| 246 | +**Data layer** |
| 247 | +- [sqlite-vector](https://github.com/sqliteai/sqlite-vector) — ANN vector search inside SQLite |
| 248 | +- [sqlite-sync](https://github.com/sqliteai/sqlite-sync) — Offline-first CRDT sync across devices |
| 249 | +- [sqlite-columnar](https://github.com/sqliteai/sqlite-columnar) — Column-oriented analytics for OLAP queries |
| 250 | +- [sqlite-js](https://github.com/sqliteai/sqlite-js) — Custom SQLite functions written in JavaScript |
199 | 251 |
|
200 | | -Other projects in the ecosystem include: |
| 252 | +**AI layer** |
| 253 | +- [sqlite-ai](https://github.com/sqliteai/sqlite-ai) — On-device LLM inference and embeddings |
| 254 | +- [**sqlite-agent**](https://github.com/sqliteai/sqlite-agent) — Autonomous AI agents running inside SQLite *(you are here)* |
| 255 | +- [sqlite-memory](https://github.com/sqliteai/sqlite-memory) — Persistent, searchable memory for agents |
| 256 | +- [sqlite-mcp](https://github.com/sqliteai/sqlite-mcp) — Call MCP tools directly from SQL queries |
201 | 257 |
|
202 | | -- **[SQLite-AI](https://github.com/sqliteai/sqlite-ai)** — On-device inference and embedding generation directly inside SQLite. |
203 | | -- **[SQLite-Memory](https://github.com/sqliteai/sqlite-memory)** — Markdown-based AI agent memory with semantic search. |
204 | | -- **[SQLite-Vector](https://github.com/sqliteai/sqlite-vector)** — Ultra-efficient vector search for embeddings stored as BLOBs in standard SQLite tables. |
205 | | -- **[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. |
206 | | -- **[SQLite-Agent](https://github.com/sqliteai/sqlite-agent)** — Run autonomous AI agents directly from within SQLite databases. |
207 | | -- **[SQLite-MCP](https://github.com/sqliteai/sqlite-mcp)** — Connect SQLite databases to MCP servers and invoke their tools. |
208 | | -- **[SQLite-JS](https://github.com/sqliteai/sqlite-js)** — Create custom SQLite functions using JavaScript. |
209 | | -- **[Liteparser](https://github.com/sqliteai/liteparser)** — A highly efficient and fully compliant SQLite SQL parser. |
| 258 | +**Managed platform** |
| 259 | +- [SQLite Cloud](https://sqlite.ai) — Hosted SQLite with sync, auth, edge functions, and analytics. [Free tier →](https://dashboard.sqlitecloud.io/auth/sign-in) |
210 | 260 |
|
211 | | -Learn more at **[SQLite AI](https://sqlite.ai)**. |
| 261 | +Built by [SQLite AI](https://sqlite.ai). Questions? [Contact us](https://sqlite.ai/support). |
0 commit comments