SlimContext
Provides AI chat history compression tools for Model Context Protocol-compatible clients.
关于
Optimize large language model interactions by efficiently managing chat history context. SlimContext offers two powerful strategies for AI chat history compression: token-based trimming for rapid, deterministic context reduction, and AI-powered summarization that intelligently condenses past conversations using OpenAI. This server seamlessly integrates with Model Context Protocol (MCP) clients, enabling developers to build more robust and cost-effective AI applications by keeping conversational context within model limits.
主要功能
- Token-based chat history trimming
- AI-powered chat history summarization
- Configurable context window and compression thresholds
- Preservation of system and recent messages
- Standardized Model Context Protocol (MCP) integration
- 1 GitHub stars
使用案例
- Reducing token consumption for long AI conversations
- Maintaining relevant chat history for AI assistants
- Optimizing LLM context windows in AI chatbots