# Request a Feature

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Do you think an **important feature is missing** in Avalanche? You are in the right place!
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We try to keep the design of *Avalanche* as *open*, *collaborative* and *inclusive* as possible. This means discussing *Avalanche* issues, development and future ideas openly through general [ContinualAI projects meetups](https://www.continualai.org/news/#meetup), its [slack channel](https://join.slack.com/t/continualai/shared_invite/enQtNjQxNDYwMzkxNzk0LTBhYjg2MjM0YTM2OWRkNDYzOGE0ZTIzNDQ0ZGMzNDE3ZGUxNTZmNmM1YzJiYzgwMTkyZDQxYTlkMTI3NzZkNjU), [Github](https://github.com/vlomonaco) and [forum](https://continualai.discourse.group).

If you'd like to add a new feature to *Avalanche* please let us know, so we can work on it, or team up with you to make it a happen! 😄

Features request can be opened on the appropriate [GitHub Discussion Feature-Request section](https://github.com/ContinualAI/avalanche/discussions/categories/feature-request). Vote your preferred features and we will try to implement the most voted first!

![Feature-request section of the Avalanche GitHub "Discussions" Tab.](/files/-MkmVVux016cX9uJh-nF)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://avalanche.continualai.org/avalanche-v0.5.0-1/questions-and-issues/request-a-feature.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.