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Vercel's AI SDK: the TypeScript toolkit for building AI apps and agents with any model provider
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View guide →An end-to-end framework for building custom AI applications and agents on top of your database.
superduper is an open-source dev tools project by superduper-io (superduper-io/superduper on GitHub). It has 5,325 GitHub stars and 547 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 1 September 2025.
Identify the database your data already lives in and the AI behavior you want — semantic search, question answering, an agent.
Install superduper-framework from PyPI.
Install the plugin for your store — MongoDB, SQL, Snowflake or Redis.
Connect to your database, apply a model, and run your first AI query against live data.
Brings models and inference to the data in MongoDB, SQL, Snowflake or Redis instead of exporting data to a separate AI system.
Covers building custom AI applications and agents, from data to inference and serving, in one framework.
Database backends and additional capabilities install as separate superduper-* plugin packages.
Adds embedding-based retrieval over your stored data as part of the same stack (per its topic set: semantic search, vector search, RAG).
Built around PyTorch and Transformers models that you compose into your application.
Active Slack, GitHub Discussions and documentation at superduper.io for help and examples.
Clone Superduper if you want the source; most users install from PyPI.
git clone https://github.com/superduper-io/superduper.git
cd superduperInstall the core framework package (0.7.0 or later).
pip install "superduper-framework>=0.7.0"Install the plugin for your data store, for example MongoDB or SQL.
pip install "superduper-mongodb>=0.7.0"
# or: pip install "superduper-sql>=0.7.0"Superduper is maintained by superduper-io, with documentation and community links at superduper.io.
Yes — it is open source under the Apache-2.0 license.
Not inherently: it composes models you choose, including local open models; you only need keys for hosted model providers you decide to use.
That stack moves data into a separate retrieval layer; Superduper brings the AI application framework to your existing database through its plugin model.
pip install superduper-framework plus the plugin for your database, then follow the documentation's first application guide.
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