A multi-model AI aggregation system with auto-fallback support.
Project details
SelfClaw is a versatile AI aggregation solution that intelligently combines multiple models, including DeepSeek and NVIDIA. It features auto-fallback mechanisms, memory management, and a powerful self-IDE for local AI agent development. Enhance your AI applications with seamless model switching and diverse functionality.
SelfClaw is a sophisticated multi-model AI aggregation system designed for seamless integration and enhanced performance in dialogue applications. Its key features include:
The repository includes a well-organized directory structure featuring modules for UI operations, a closed-loop agent, and more:
MyAI_Model/
├── DS/ # Streamlit UI Module
│ ├── main.py # Entry point
│ ├── config.py # Configuration management
│ ├── chat_engine.py # Dialogue engine (single-use/auto-fallback)
│ ├── model_manager.py # Model CRUD operations, blacklisting, logging
│ ├── tools.py # File operations, search, memory management, plugins
│ └── ui.py # Complete UI rendering (CSS + components)
├── CCR/ # CCR closed-loop agent
│ └── ccr.py # Hermes agent + HTTP proxy
├── gateway.py # FastAPI gateway (multi-model routing)
├── openclaw.json # Model pool & Provider configurations
├── start.bat # One-click launch script for Windows
├── requirements.txt # Python dependencies
└── README.md
The project employs modern technologies including Streamlit for the front-end, FastAPI and Uvicorn for the backend gateway, and OpenAI SDK for AI functionalities. Advanced voice processing and dual-engine search capabilities further enhance the overall experience.
SelfClaw represents a comprehensive and flexible solution for developers and organizations looking to implement advanced AI aggregation systems in their applications.
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