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AVsitter pose system for Second Life and OpenSim
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Latest commit af4de9c Apr 7, 2019


Repository for AVsitter™ - a furniture pose system for Second Life® and OpenSim, written in LSL.

Getting the AVsitter2 scripts in Second Life/Opensim

  1. You can manually import the AVsitter scripts into Second Life / Opensim by following our AVsitter2 Import Guide.


  2. If you would prefer a pre-packaged version of the latest release, and to receive packaged in-world updates of future releases, then visit the SL Marketplace. Proceeds from marketplace sales are shared with open-source contributors and will help support continued development of AVsitter.

User instructions

User instructions are found at

Support guide

Support guidelines are found at

Contributor guidelines

Contributor guidelines are found at

Editing the AVsitter2 code

You can edit any scripts, as long as you stay in compliance with the license (see below); however, in order to benefit from the extra memory that the SL Marketplace version provides, you're advised to optimize the scripts following the same method used for packaging the releases. There's a guide on how to do it here: Release Building Guide


AVsitter LSL scripts are licensed under the Mozilla Public License Version 2.0.

This basically means that: you must make the source code for any of your changes available under MPL, but you can combine the MPL code with proprietary code, as long as you keep the MPL code in separate files.

For increased script memory, scripts can be run through LSL-PyOptimizer online. If you do this, please keep the license notification intact in the header of any scripts you distribute.

Trademarks and branding

If you distribute the scripts in this repository or a derivation, you may only use our brand as permitted. See our Trademark Guidelines for permitted use of the AVsitter™ brand. We also suggest for a practical guide to understanding trademarks in the context of Free and Open Source Software.

Second Life® is a trademark of Linden Research, Inc. AVsitter™ is not affiliated with or sponsored by Linden Research.

Scripts were formatted by LSL-PyOptimizer and created using LSLForge. A sincere thanks goes to the creators of those projects! Many thanks go also to Philip Rosedale and all Lindens (past and present).

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