# OpenK9

- **Website:** <https://openk9.io>
- **Primary alias:** `openk9.io`

## Description

OpenK9 is an innovative Cognitive Enterprise Search solution designed to meet diverse organizational needs through the power of Machine Learning. This robust, modern, and flexible platform enhances data quality, providing users with a seamless search experience. OpenK9 is cloud-oriented, easily integrating into Kubernetes architectures, which enables scalability for growing businesses. Its architecture supports rapid data ingestion, enrichment, and indexing, making it suitable for varied document sizes and complexities.

The solution features instant search capabilities across multiple data sources, including documents, emails, calendars, and applications. Users benefit from a powerful admin panel for monitoring and configuring the search environment, ensuring ease of use and customization. With a pluggable architecture, OpenK9 allows for the development of domain-specific enhancements. Available in both community and enterprise editions, users can either self-host or opt for an upcoming SaaS version. OpenK9's design is intuitive, catering to both novice and advanced users, with support for development in multiple programming languages, offering flexibility and creativity in application development.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Search Engines _(under Computers Electronics and Technology)_

## Links

- [twitter](https://twitter.com/k9open)
- [github](https://github.com/smclab)

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idBXTU0-_k/w/820/h/809/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1752980969247)
- icon _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idBXTU0-_k/w/400/h/400/theme/dark/icon.png?c=1bxid64Mup7aczewSAYMX&t=1752980969537)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Monza | #d20a11 | accent |
| Oxford Blue | #303846 | dark |
| White | #ffffff | light |

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_Source: <https://brandfetch.com/openk9.io>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._