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AVsitter

AVsitter

AVsitter pose system for Second Life and OpenSim

100 stars90 forksLSLMPL-2.0
01
DEEP OPEN-SOURCE ANALYSIS

AVsitter: seating avatars in Second Life and OpenSim

Furniture in Second Life and OpenSim needs a way to seat an avatar, and AVsitter is the LSL pose system built for that. The README covers two ways in: import the scripts yourself, or buy a packaged release.

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DEEP OPEN-SOURCE ANALYSIS

What AVsitter is

The repository is the home of AVsitter, a furniture pose system for Second Life and OpenSim written in LSL. The scripts let furniture accept an avatar and pose it, which is the core function the project is named for. The README positions the repo as the canonical source for the scripts and the surrounding material like import guides and licensing notes.

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DEEP OPEN-SOURCE ANALYSIS

Importing the scripts by hand

The manual route is straightforward. You follow the AVsitter2 Import Guide to bring the scripts into Second Life or OpenSim yourself. This is the direct installation path for anyone comfortable moving LSL scripts between the editor and the world.

04
DEEP OPEN-SOURCE ANALYSIS

The packaged route

For people who would rather not import scripts, the README points to the Second Life Marketplace for a pre-packaged version of the latest release, which also receives packaged in-world updates of future releases. Proceeds from marketplace sales are shared with open-source contributors and are described as helping support continued development. That split between a free DIY path and a paid convenience path shapes how the project distributes itself.

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DEEP OPEN-SOURCE ANALYSIS

Licensing and branding

You can edit any of the scripts as long as you stay in compliance with the license. The MPL terms mean changes must be made available under MPL, but the MPL code can be combined with proprietary code as long as it stays in separate files. Scripts can be run through LSL-PyOptimizer online for more memory, with the license notice kept in the header. On branding, Second Life is a trademark of Linden Research, and AVsitter is not affiliated with or sponsored by them. The scripts were formatted by LSL-PyOptimizer and created with LSLForge, and the README thanks the creators of those projects plus Philip Rosedale and the Lindens.

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DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

Most of the practical friction here is about getting LSL scripts into virtual worlds, and the README offers both a DIY import path and a marketplace shortcut with packaged updates.

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DEEP OPEN-SOURCE ANALYSIS

Official sources

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Community notes

Community notes