superduper social preview
vector-db5,289Apache 2.0

superduper

Superduper: End-to-end framework for building custom AI applications and agents.

Updated Jun 8, 2026
Website GitHub Docs
Platforms
Pricing
free-open-source
Status
active
License
Apache 2.0

What it does

Core capabilities at a glance

  • Chatbot
  • Data
  • Database
  • Distributed ML
  • Inference
  • LLM Inference
  • LLM Serving
  • Llmops

Deep dive

The full breakdown - performance, comparisons, and setup

superduper

superduper is a vector database - Superduper: End-to-end framework for building custom AI applications and agents.

Overview

If you have any problems, questions, comments, or ideas: - Join our Slack (we look forward to seeing you there). - Search through our GitHub Discussions , or add a new question . - Comment an existing issue or create a new one . - Help us to improve Superduper by providing your valuable feedback here ! - Email us at 'gethelp@superduper.io'. - Visit our YouTube channel. - Follow us on Twitter (now X). - Connect with us on LinkedIn. - Feel free to contact a maintainer or community volunteer directly!

There are many ways to contribute, and they are not limited to writing code. We welcome all contributions such as:

Superduper is open-source and intended to be a community effort, and it wouldn't be possible without your support and enthusiasm. It is distributed under the terms of the Apache 2.0 license. Any contribution made to this project will be subject to the same provisions.

We are looking for nice people who are invested in the problem we are trying to solve to join us full-time. Find roles that we are trying to fill here !

superduper is open-source, written primarily in Python, with 5,289 GitHub stars under the Apache 2.0 license. The latest release is 0.10.0 (2025-08-26).

Key capabilities

From the project's documentation:

  • Email us at gethelp@superduper.io.
  • Visit our YouTube channel.
  • Follow us on Twitter (now X).
  • Connect with us on LinkedIn.
  • Feel free to contact a maintainer or community volunteer directly!
  • Expanding the tutorials and use case examples

Install

A quick way to get started (always check the official docs for the latest):

pip install superduper-framework >= 0.7.0

How it fits a local-AI stack

superduper runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related vector databases in the directory:

Sources

Stats from GitHub, 2026-06-08.

Frequently asked

Quick answers to common questions

What is superduper?

superduper is a vector-db tool for local AI workloads. Superduper: End-to-end framework for building custom AI applications and agents.

Is superduper free and open source?

Yes, superduper has 5,289 GitHub stars and is licensed under Apache 2.0. You can self-host it for free on .

What hardware do I need for superduper?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. superduper has 5,289 GitHub stars and an active community.

Does superduper support GPU acceleration?

superduper's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to superduper?

Popular alternatives include other vector-db tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does superduper cost?

superduper is free-open-source. It is completely free and open source to self-host.

Pairs well with

Complementary tools, models, and hardware

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