Amgix
Hybrid search engine built for flexible deployment and real-world messy data.
- Search Engines
- Python
- AGPL-3.0
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 8
- Forks
- 0
- Open issues
- 0
- Commits, last 12 months
- 70
- Last commit
- Aug 15, 2026
- Latest release
- v1.6.6Aug 15, 2026
- Created
- Mar 8, 2026
Data from the GitHub API, refreshed daily.
About Amgix
Hybrid search engine built for flexible deployment and real-world messy data. Amgix is open source under the AGPL-3.0 license and written mainly in Python, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 8 stars and 0 forks on GitHub, with 70 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.
Topics
- api
- backend
- distributed-systems
- hybrid-search
- information-retrieval
- mariadb
- microservices
- postgresql
- qdrant
- ranking
Repository preview
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What is Amgix?
Amgix is a free, open-source app you can host on your own server, listed in our Search Engines category. Hybrid search engine built for flexible deployment and real-world messy data. The source code lives at github.com/amgix/amgix-server, where it has 8 stars.
Is Amgix free and open source?
Yes. Amgix is open-source software released under the AGPL-3.0 license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.
Can I run Amgix with Docker?
Yes. Amgix provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.
What are the best alternatives to Amgix?
Popular open-source alternatives to Amgix include ElasticSearch, MeiliSearch and SearXNG.
Is Amgix actively maintained?
The most recent commit to Amgix was on Aug 15, 2026 with 70 commits in the past twelve months. The latest release is v1.6.6, published Aug 15, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.