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.
https://t.co/xNbhXtR1Uo
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!
https://t.co/cW7obpa5NJ
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.
https://t.co/0snTKsaepi
Drizzle ORM now officially supports SQLite Cloud!
Build scalable, type-safe apps with Drizzle’s great DX + the power of distributed SQLite.
Get started: https://t.co/NLz2xg0mv2
Connect guide: https://t.co/te8Bdxozbu
Big win for the SQLite ecosystem!
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: https://t.co/U97GM9A9vX
🚀 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:
🔗 https://t.co/VhqNcbNmkg
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
Check out this slick Market Prediction Dashboard using SQLite Cloud! Built during a recent ML workshop by @realmistic — full repo here:
🔗 https://t.co/Zdb3xwouMo
ML + Real-time Dashboards + Serverless SQLite = 💡
#SQLiteCloud#ML#DataViz#OpenSource#EdgeAI@sqlitecloud
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 https://t.co/dJEvDjglgC project.
https://t.co/M05NQQ63HH
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.
In our recent blog, @_marcobambini discusses how he used SQLite to power SQLite Cloud's documentation search, and how you can to!
Read more below! 👇
https://t.co/UETlykcEmY