Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
| Date | Stars |
|---|---|
| 2026-07-24 | 3036 |
| 2026-07-25 | 3036 |
| 2026-07-28 | 3038 |
| 2026-07-30 | 3038 |
| 2026-08-06 | 3038 |
Today
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Momentum
15.0
growth rate 0.00%/day
<!-- Drop-in replacement for github.com/swirlai/swirl-search/README.md --> <!-- Image paths reference the repo's existing docs/images assets so they render unchanged. --> [](https://www.swirlaiconnect.com) # SWIRL Community ## Federated AI search and RAG across your stack, without moving your data Ask a question. SWIRL searches your apps live, ranks the results, and returns an answer with sources you can click through to. Data stays where it lives. No vector database, no ETL, no second copy to govern. Open source, Apache 2.0, running on your machine in about two minutes. [](https://opensource.org/license/apache-2.0) [](https://github.com/swirlai/swirl-search/releases) [](https://github.com/swirlai/swirl-search/stargazers) [](https://www.swirlaiconnect.com) [](https://www.swirlaiconnect.com) [⚡ Quick Start](#-quick-start-docker-in-2-minutes) · [🧱 What you get](#-what-swirl-community-gives-you) · [🆚 Community vs Enterprise](#-community-vs-swirl-5-enterprise) · [🔌 Connectors](https://swirlaiconnect.com/connectors) · [🤝 Contribute](#-contributing) > This repository is **SWIRL Community**, Apache 2.0 and free to self-host. There is also **SWIRL Enterprise**, which adds a three-pass reranker, canonical answers, an MCP server for agents, and managed support. The [comparison](#-community-vs-swirl-5-enterprise) below lays out the difference, so you can tell which one you need. ## 🤔 Why SWIRL? Most "AI search" asks you to copy everything into a vector database first, then govern that copy forever. SWIRL skips the copy. It queries your sources live, with the user's own permissions, re-ranks the results, and optionally generates an answer with citations using the LLM of your choice. | ❌ The usual way | ✅ With SWIRL | | --- | --- | | Stand up a vector database | No vector DB needed | | Move and duplicate your data | Data stays in place | | Build ETL pipelines | Query live, in place | | Weeks of infrastructure work | One Docker command, about 2 minutes | | A new copy to secure and audit | Permissions enforced at the source | ## 🔥 Quick Start: Docker in 2 minutes Make sure the [Docker app](https://docs.docker.com/get-docker/) is installed and running. Download the compose file: ``` curl https://raw.githubusercontent.com/swirlai/swirl-search/main/docker-compose.yaml -o docker-compose.yaml ``` Optional, to enable real-time RAG with your own OpenAI key: ``` export MSAL_CB_PORT=8000 export MSAL_HOST=localhost export OPENAI_API_KEY='<your-OpenAI-API-key>' ``` Start SWIRL: ``` docker-compose pull && docker-compose up ``` Then open <http://localhost:8000/galaxy>, log in with `admin` / `password`, and run a search. SWIRL comes ready to search Arxiv, European PMC and Google News out of the box. [](https://www.swirlaiconnect.com) > Note: the Docker version does not retain data or configuration when shut down. For a persistent install, see the [Quick Start Guide](https://docs.swirlaiconnect.com/quick-start). Watch the [60-second video tutorial](https://www.youtube.com/watch?v=Ypn4XvSJfcQ) to get going. ## 🧱 What SWIRL Community gives you Apache 2.0, free, yours to run anywhere: - Federated search and RAG across 100+ connectors, with your data left in place. - The Galaxy
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Read on GitHub
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Sid Probstein · SWIRL, Inc. · United States
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Joe Dinsmoor · @tyler-technologies · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2403c0215d3df621, topic:large-language-models, topic:gpt
matched fp:2403c0215d3df621, topic:rag, topic:retrieval-augmented-generation