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Open weights explained — Making trained model parameters available

A publisher provides the learned parameters that influence model outputs. Compatible files and software can allow self-hosting or research under the license terms.

An everyday example

You download an appropriately licensed model and run it on your hardware rather than only using a hosted chat interface.

When you’ll encounter it

Check weights, hardware requirements and licensing before local deployment, self-hosting or further training.

What to watch for

Available weights do not automatically make the entire system open source or unrestricted for commercial use. Data, code and redistribution terms may differ.

Related terms & sources

Prepared from the public sources below. Examples illustrate the concept. Reviewed on 2026-10-15.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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