A sophisticated multi-model AI agent framework with intelligent task routing, extensible plugin architecture, and advanced resource optimization.

ManusPrime

A sophisticated multi-model AI agent framework with intelligent task routing, extensible plugin architecture, and advanced resource optimization.

✨ Highlights

• Smart Model Selection - Automatically routes tasks to the most suitable AI model
• Multi-Provider Support - Seamlessly works with OpenAI, Anthropic, Mistral, DeepSeek, and more
• Modular Plugin System - Easily extend capabilities with specialized plugins
• Advanced Memory System - Vector-based storage for context-aware responses
• Resource Optimization - Intelligent caching, batching, and fallback mechanisms
• Input Validation - Enhanced security and prompt optimization
• Budget Controls - Fine-grained cost management and tracking

🚀 Quick Start

# Clone repository
git clone https://github.com/ageborn-dev/manusprime.git
cd manusprime

# Setup environment
python -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows
pip install -r requirements.txt

# Configure API keys
cp .env.example .env
# Edit .env with your API keys

# Run the server
python server.py

Visit http://localhost:8000 to access the web interface.

🧠 Core Architecture

ManusPrime employs a sophisticated multi-model approach that intelligently routes tasks to the optimal AI model:

┌─────────────┐ ┌───────────────┐ ┌────────────────┐ ┌─────────────┐ │ User Input │────▶│ Task Analysis │────▶│ Model Selection│────▶│ Execution │