Turso
@tursodatabase
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The next evolution of SQLite https://t.co/LsugLYx8qw https://t.co/Zn4AwNBEVp
🌎
Joined August 2021
Dang I've built some incredible stuff on @tursodatabase Can't wait to show the world.
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AgentFS is a layer of abstraction that allows you to emulate an entire filesystem + some richer abstractions (built-in audit, built-in key-value) into a single SQLite file. That goes perfectly together with sandboxes, especially those in environments where having an actual
Shipped AgentFS! We built the first iteration of the missing abstraction for agents people have been asking for. Everything in one SQLite file: 💾POSIX-like filesystem for artifacts 📦 Key-value store for state 🔍 Toolcall tracking Full blog post: https://t.co/BmI3jNIk8d
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Shipped AgentFS! We built the first iteration of the missing abstraction for agents people have been asking for. Everything in one SQLite file: 💾POSIX-like filesystem for artifacts 📦 Key-value store for state 🔍 Toolcall tracking Full blog post: https://t.co/BmI3jNIk8d
turso.tech
SQLite is the perfect database for AI agents—but nobody knows how to use it. Many agent developers I've talked to make the same point: SQLite is ideal for capturing agent state, handling auditing, ensuring compliance, and managing snapshots. It's lightweight, all data
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Turso 0.3.0 added support for sparse vectors: searching 100k sparse vectors in under 100ms for brute force, and 10x faster than that if indexed. LLM Embeddings are dense. But there are still many use cases that benefit from sparse vectors! @SivukhinN wrote about it 👇
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Good morning you all Currently checking a pr to add new Sqlite rust version from @tursodatabase to geni
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Turso can solve this problem well, because we run everywhere. Databases everywhere. Lightweight, infinite, and you can even store files on it. So good
@glcst This is really clever -- the fs layer for agents is a huge pain I think this will be really popular 🔥
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90% Let's go!
This makes so much sense and would cut down like 90 percent complexity about the agents and their state/schema management. Uniform access layer is something all agent sdks should aim for. Kudos to @tursodatabase for heading in the direction. @aisdk @AgnoAgi
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Turso 0.3.0 is out! ✨ Highlights: - Vector search: SIMD acceleration, sparse vectors, Jaccard distance - Subqueries in WHERE, HAVING, and ORDER BY - Foreign key constraints Also bug fixes and performance improvements. Full changelog 👇
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Turso now supports Live Materialized Views: up-to-date date anywhere, at any size:
turso.tech
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Turso now supports *LIVE* materialized views! Based on a framework of Incremental Computation, LVM are Materialized Views that are updated in real time, by looking only at the delta of the changes instead of the whole table. That means you can have terabytes of data and a very
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@Tursodatabase CEO @glcst will share what took them down the path of rewriting SQLite it in Rust, and how this decision is leading to massive performance improvements at @P99CONF. Don't miss it on October 22-23! https://t.co/my7KHtBo5F
#ScyllaDB #P99CONF
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Turso Sync + Turso Wasm is here!
Turso (the database) builds for Wasm, but that's only half of the story of running a database in the browser. Nice work from @SivukhinN and @notrab to make this happen! 👏👏👏 https://t.co/SBAnmp70yY
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We started with "embedded replicas" in libSQL, which allowed you to read locally, but you had write remotely. We introduced offline mode earlier this year, but @SivukhinN took it to another level by lifting the single-writer limitation! 🔥 https://t.co/r4hF9rAKE1
turso.tech
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Turso (the database) builds for Wasm, but that's only half of the story of running a database in the browser. Nice work from @SivukhinN and @notrab to make this happen! 👏👏👏 https://t.co/SBAnmp70yY
turso.tech
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Today we have not one, but two exciting announcements for the @tursodatabase beta week: 1) Turso runs *natively* in the browser. 2) Turso dbs can be synced, with conflict resolution, to/from anywhere. Turso will put databases everywhere. Nothing screams *everywhere* more than
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We are shipping Turso with embedded documentation for core features. Every time you start the shell (unless in quiet mode), it will tell you about a feature, and prompt you to read more about it. There is a lot to improve in the core of the db, but the DX is important too!
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