Overview
Lagent is an open-source framework designed to streamline the development of AI agents powered by large language models. By drawing inspiration from neural network layer design, Lagent provides developers with an intuitive, Pythonic approach to creating sophisticated multi-agent systems.
Key Features
- Flexible Agent Architecture
- Support for single and multi-agent workflows
- Modular memory and communication systems
- Customizable message aggregation and parsing
- Advanced Tool Integration
- Seamless tool calling and execution
- Consistent communication data structures
- Support for code interpretation and web browsing
- Dual Interface Design
- Synchronous and asynchronous component variants
- Optimized for debugging and large-scale inference
- Extensible Hooks and Processors
- Custom message transformation
- Flexible agent behavior modification
Use Cases
- Mathematical problem-solving agents
- Research and data visualization workflows
- Self-refining content generation
- Interactive code interpretation
- Complex multi-agent collaboration scenarios
Technical Specifications
- Language: Python
- Dependencies: PyTorch-inspired architecture
- Model Support: Compatible with various LLM providers
- Interfaces: Synchronous and asynchronous
- Licensing: Apache 2.0
- Platform: Cross-platform
