Overview
FloAI is an innovative Python framework designed to simplify the creation of complex AI agent systems. Inspired by Kubernetes' approach to container orchestration, FloAI enables developers to compose sophisticated AI architectures using modular, reusable components.
Key Features
- 🔌 Truly Composable: Build intricate AI systems by combining smaller, specialized agents
- 🏗️ Production-Ready: Integrated best practices and optimization techniques
- 📝 YAML-First Design: Define entire agent architectures through simple, declarative YAML configurations
- 🤝 Team-Oriented: Create and manage multi-agent teams with hierarchical structures
- 🔄 Langchain Compatible: Seamless integration with existing Langchain tools
- 📚 Built-in RAG Support: Native retrieval-augmented generation capabilities
- 🔧 Flexible Architecture: Use pre-built components or create custom agents
Use Cases
- Customer Service Automation
- Intelligent Research Workflows
- Content Generation Pipelines
- Data Analysis and Extraction
- Multi-Agent Collaborative Problem Solving
Technical Specifications
- Language: Python
- Dependencies: Langchain, Pydantic
- Deployment: Compatible with major cloud platforms
- Model Support: Works with OpenAI, Anthropic, and other major LLM providers
- Logging: Comprehensive tool call and execution tracking
- Extensibility: Custom tool and agent creation supported
