Evosynth

Advanced Multi-Agent Jailbreak Attack System

🚧 Status: Active Refactoring 📅 Target Release: Next 1–3 Months

Evosynth is a Jailbreak Attack framework designed to test the safety alignments of next-generation AI models through autonomous multi-agent workflows.

⚡ Current Focus: Architecture & Preparation

We are currently refactoring the codebase to ensure scalability and preparing for the release of upcoming SOTA LLMs. Our immediate development goals are:

1. Architectural Abstraction (Phase 1)

We are moving away from scripts to a modular, object-oriented architecture:

Abstract Base Classes: Implementing standardized base classes for Agents, Tools, and Orchestrators.
Robustness: Centralizing error handling, resource cleanup, and configuration management.

2. Next-Gen Model Targeting (Phase 2)

We are targeting new SOTA LLMs using EvoSynth, including:

Gemini 3.0 Pro
Grok 4.1
GPT-5.1
Other SOTA LLMs released during code preparation

🗓️ Development Timeline

Phase	Duration	Key Milestones
Refinement	Month 1-2	Complete architectural abstraction, error handling, and config systems.
Testing	Month 2-3	Benchmarking against Gemini 3.0, Grok 4.1, GPT-5.1 and other SOTA LLMs.

⚠️ Ethical Disclaimer

For Defensive Security Research Only. Evosynth is designed to aid AI researchers and developers in identifying safety flaws to improve system robustness.

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