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GitHub · elder-plinius/OBLITERATUS

Clean up unnecessary dependencies

OBLITERATUS addresses the analysis of security barrier aspects, detection of alignment traces, evaluation of defense robustness, and techniques for removing rejection and security barrier signals from language models.

Updates

  • October 15, 2026: Stars 7,994 → 8,803, latest release v0.1.4 (October 15, 2026).
  • August 24, 2026: Stars 7,838 → 7,994, latest release v0.1.3 (August 23, 2026).

What you get

  • It surgically cleans up rejection behaviors in artificial intelligence models.
  • Disables constraints, preserving the basic language capabilities of the model.
  • Visualizes how constraints work with cross-layer analysis.

Installation

Basic interface setup
pip install -e ".[spaces]"

Running it

Starting the interface
obliteratus ui

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

Analyze rejection behaviors in an AI model and surgically remove the internal structures that trigger these behaviors without harming the model's general language capabilities. During the process, use techniques such as SVD decomposition to identify constraints and ensure the model responds without artificial obstacles.

Repository: https://github.com/elder-plinius/OBLITERATUS. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forIt is for researchers and developers who want to scientifically study the security mechanisms and rejection behavior of artificial intelligence models.
LicenseAGPL-3.0

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-22: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.