App: Context Agent (context_agent)

The context_agent app is the app that provides AI agent functionality in Nextcloud and acts as a backend for the Nextcloud Assistant app. Nextcloud can provide customer support upon request, please talk to your account manager for the possibilities.

Requirements

  • This app is built as an External App and thus depends on AppAPI v3.1.0 or higher

  • Nextcloud AIO is supported

  • No GPU is necessary for Context Agent but one might be useful if you use it with a self-hosted provider like llm2

  • CPU Sizing

    • At least 1GB of system RAM

Installation

  1. Make sure the Nextcloud Assistant app is installed

  2. Install AppAPI and setup a Deploy Demon

  3. Install the “Context Agent” ExApp via the “Apps” page in the Nextcloud web admin user interface

  4. Install a text generation backend like llm2 or integration_openai via the “Apps” page in Nextcloud

Model requirements

This app requires underlying Large language models to support tool calling. The default model in llm2 does not support tool calling. Instead we recommend:

  • Qwen 2.5 8B or higher

  • Watt Tool 8B or higher

See llm2 documentation on how to configure alternate models.

Scaling

It is currently not possible to scale this app, we are working on this.

App store

You can also find the app in our app store, where you can write a review: https://apps.nextcloud.com/apps/context_agent

Repository

You can find the app’s code repository on GitHub where you can report bugs and contribute fixes and features: https://github.com/nextcloud/context_agent

Nextcloud customers should file bugs directly with our Support system.

Known Limitations

  • Make sure to test the language model you are using in concert with this app for whether they meet the use-case’s quality requirements

  • Customer support is available upon request, however we can’t solve false or problematic output, most performance issues, or other problems caused by the underlying model. Support is thus limited only to bugs directly caused by the implementation of the app (connectors, API, front-end, AppAPI)