Lotus provides a framework for integrating Mistral and Gemini AI models, offering features like intelligent routing, consensus mechanisms, and context-aware processing. This FOSS solution aims to modernize the Model Context Protocol (MCP), enabling developers and businesses to build custom protocols that connect AI assistants with external data sources and tools. It incorporates rate limiting and security measures for production stability, with a focus on cost optimization and failover support. Lotus empowers users to build an MCP-like framework, taking advantage of a unified interface, context sharing, tool reusability, and the ability to leverage the strengths of multiple AI models.
Key Features
01Context-aware processing for coherent interactions
021 GitHub stars
03Routes and fallbacks between models
04Tool integration for extensibility
05Consensus engine to compare model outputs
06Rate limiting and security for production stability
