LibreAI / Local LLM / pasteguard
// local-llm ยท sgasser/pasteguard

pasteguard

AI gets the context.

๐Ÿ’Ž Hidden gemโ˜… 761 starsโ‘‚ 40 forksApache-2.0updated 2026-08
โ–ฆ visual โ€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

pasteguard is an open-source local llm project by sgasser (sgasser/pasteguard on GitHub). It has 761 GitHub stars and 40 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 25 August 2026.

GitHub stars
761
Forks
40
License
Apache-2.0
Last updated on GitHub
25 August 2026
Category
Local LLM
Listing
Hidden gem โ€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Get the code

    Clone sgasser/pasteguard and move into the project folder.

  2. Install dependencies

    Install Node dependencies with npm (or your preferred package manager).

  3. Pick a model

    Choose a local model or add a provider API key.

  4. Start using it

    Run prompts and keep everything under your control.

// features

Why people love it

Anthropic

Integrates with Anthropic's Claude models.

Browser Extension

Lives in your browser as an extension.

ChatGPT

Compatible with ChatGPT-style models.

Claude

Pairs with Claude for its AI features.

Codex

Works with OpenAI's Codex coding agent.

Data Protection

Focused on data protection as a core part of the project.

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// run it

Run it yourself

  1. Step 1 โ€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/sgasser/pasteguard.git
    cd pasteguard
  2. Step 2 โ€” Install dependencies

    Set up what the project needs to run.

    npm install
  3. Step 3 โ€” Run it

    Start the app โ€” the README has the exact command and flags.

    npm run dev  # or npm start โ€” see package.json
// use cases

What you can build

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// faq

Questions, answered

What license is it under?

Apache-2.0 licensed โ€” permissive, with a patent grant.

Do I need to pay for an AI model?

The app itself is free; cloud models need your own API key and are billed by the provider. Local models cost nothing to run.

Does my data stay private?

It is designed to keep data on your machine or your server. Check the docs for any optional cloud features.

How hard is it to install?

Clone the repo and run npm install โ€” the README covers the rest.

Where do I get help?

The GitHub repo's issues and discussions are the main support channel.

// keep exploring

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// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue โ€” the realistic shortlist if pasteguard is not the right fit.

Get pasteguard

Free and open โ€” grab the source, star the repo, and start creating.