SQLite AI

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SQLite AI

SQLite AI

@sqlitecloud

AI at the Edge. Scale in the Cloud.

San Francisco Katılım Eylül 2020
28 Takip Edilen368 Takipçiler
SQLite AI retweetledi
Marco Bambini
Marco Bambini@_marcobambini·
AI agents that learn from each other without ever talking to each other. and Every agent today accumulates knowledge: conversation history, user preferences, and research notes. That memory is what makes an agent useful. But the moment you have more than one agent, memory becomes a distributed systems problem. We built a simple solution based on block-level LWW. marcobambini.substack.com/p/block-level-…
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SQLite AI retweetledi
Marco Bambini
Marco Bambini@_marcobambini·
SQLite Vector, with its focus on zero preindexing and a low memory footprint, is incredibly useful for edge applications. Thanks to Cowork AI, it is now Nix Flake Ready! cwrk.ai/posts/sqlite-v…
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SQLite AI retweetledi
Marco Bambini
Marco Bambini@_marcobambini·
Introducing SQLite-Agent, a groundbreaking SQLite extension that allows your database to run autonomous AI agents directly inside SQLite itself. With SQLite-Agent, your data becomes active: agents can read, reason, act, and write back results without leaving the database engine. This turns SQLite into a fully self-contained automation and intelligence platform for apps, devices, and edge environments. github.com/sqliteai/sqlit…
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SQLite AI retweetledi
Marco Bambini
Marco Bambini@_marcobambini·
When we started this journey, our mission was simple: make it easy to sync, share, and scale SQLite databases. We believed that developers deserved the power of the cloud without the complexity, and that SQLite — the most deployed database engine in the world — could play a bigger role in modern app development. Today, after several months of intense development, we’re thrilled to unveil the next chapter: SQLite AI. We envision a future where every smart app, robot, or device can run private, local, and secure AI workloads — without requiring massive infrastructure or internet connectivity. By combining the ubiquity of SQLite with the power of edge-native AI, it aims to become the default database for intelligent edge applications. More at: sqlite.ai
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SQLite AI retweetledi
Marco Bambini
Marco Bambini@_marcobambini·
🚀 We’ve just added support for the Model Context Protocol (MCP) to SQLite Cloud! With our new MCP server integration, you can now connect your SQLite databases directly to AI models — enabling context-rich, real-time interactions between your data and language models. Check out our latest blog post to see how it works and why it matters: 🔗 blog.sqlitecloud.io/connect-your-d… This is a big step toward making AI-native apps a reality with local-first databases.  Let us know what you think! #SQLite #SQLiteCloud #MCP #AI #LLM #EdgeAI #LocalFirst #AIInfra
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SQLite AI retweetledi
Marco Bambini
Marco Bambini@_marcobambini·
DeepSeek unveils a future that’s closer than ever: incredibly powerful and efficient AI models running seamlessly on our devices. The era of zero-latency, collaborative, and privacy-first EdgeAI is no longer a distant vision; it is now a reality. At SQLite Cloud, we’re ready to lead this transformative revolution with our groundbreaking sqlite.ai project. blog.sqlitecloud.io/whatever-it-ta…
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Drizzle ORM
Drizzle ORM@DrizzleORM·
imbalanced or balanced?
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SQLite AI retweetledi
Ronald Czachara
Ronald Czachara@roncza·
Send reliable mobile alerts directly from your #database. Easy with @sqlitecloud and @signl4me. Various use cases in IT / #IoT, e.g. production or sensor data, service requests, trends or averages, etc.
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SQLite AI retweetledi
Syntax
Syntax@syntaxfm·
How should we be saying SQLite? We asked the Founder and the VP of Product at @sqlitecloud
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SQLite AI
SQLite AI@sqlitecloud·
Backups allow for PITR, continuously backing up your databases to S3-compatible storage. Read more about both features below! 👇
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SQLite AI
SQLite AI@sqlitecloud·
In this week's release notes, we take a look at two new features in SQLite Cloud - Weblite and Backups!
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