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SurvX

ML-QSeek/SurvX

SurvX — A paradigm for building intelligent systems where behavior is driven by data change. It unifies capability units (F), structured entities (Matter), and self-evolving entities (Ego) under one architecture that works with or without AI. A prototype exploring XGI (Xenogenic General Intelligence) and the future of development.

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PROJECT README

README

SurvX

📖 Read 中文 Reference architecture and prototype implementation for the SurvX paradigm.

Status

This is a conceptual verification prototype, not an out-of-the-box framework and not ready for production.

SurvX is a paradigm for building intelligent systems. It can work with various AI backends or run independently without an AI base. The project explores the organizational form of intelligent systems under evolving states, without predefining a fixed development roadmap.

One cutting-edge direction is XGI — Xenogenic General Intelligence, an intelligent form that can sustain long-term evolution without predefined origins or morphology. (XGI shares conceptual overlaps with AGI. Unlike mainstream AGI, Xenogenic focuses on evolved intelligence with emergent origins.)

Quick Start

⚠️ This is a research prototype and not published on PyPI. Clone the full repository to run locally.

1. Clone repository

git clone https://github.com/ML-QSeek/SurvX
cd SurvX

2. Install dependencies Make sure Python is installed (>=3.10 recommended). Dependencies are scattered across sub-instances and installed on demand.

3. Launch studio

cd instances/survx_studio
python main.py

4. Open browser Visit http://localhost:8090. In studio you can:

  • Run built-in demos
  • Create and develop your own projects

You can work directly with the engine without studio. See developer-guide.md.

🧪 For research and exploration only, not for production use.

Documents

Changelog: CHANGELOG.md

Contributing: CONTRIBUTING.md

Design Spec: design.md

Developer Guide: developer-guide.md

Paradigm as Solution Framework: paradigm-as-solution-framework.md

XGI: Mathematical Model of Pan-Life Intelligence: XGI-A-Mathematical-Model-of-Pan-Life-Intelligence.md

SurvX-XGI Long-Term Research Strategy: SurvX-XGI-AI-Research-Longterm-Strategy.md

Core engine context documents:

Core Semantics: core-context.md

Modeling Flow: modeling-flow.md

Lifecycle: lifecycle.md

Syntax Spec: syntax.md

Project Structure

├── survx/               # Core module
│   └── survx_engine/    # Engine
├── models/              # Model workspace
├── works/               # Workspace for iteration, improvement and grey testing
│   ├── solutions/       # Solution modules
│   ├── tools/           # Utility tools
│   └── examples/        # Example projects
├── instances/           # Runnable instances
│   └── survx_studio/    # Studio tooling
└── docs/                # Design documentation

License

  • Root directory and most subdirectories: MIT, see LICENSE
  • works/solutions: Some subprojects are under AGPL-3.0, see LICENSE file inside the corresponding subdirectory.

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