CC
Provides intelligent context management tools to help MCP clients maintain consistency in long-running AI conversations, solving LLM memory loss and intent forgetting.
关于
Large Language Models often struggle with "intent forgetting" during extended conversations, losing track of initial goals, constraints, and past decisions, leading to inconsistent responses. CC offers a revolutionary solution by providing intelligent context management. It employs a hierarchical context architecture, intelligent intent classification, and robust context management to ensure LLM-powered AI agents maintain conversational consistency, remember crucial details, and deliver relevant responses even after numerous turns, enhancing the effectiveness of long-term AI interactions.
主要功能
- Hierarchical Context Architecture for long, mid, and short-term memory
- Intelligent Intent Classification to categorize user messages (e.g., PROBLEM_DEFINITION, CONSTRAINT_ADDITION)
- Intelligent Context Management that automatically organizes and prunes context
- High Performance with sub-0.3s average response times and multi-session scalability
- Multi-Session Support for managing concurrent AI conversations
- 2 GitHub stars
使用案例
- Preventing LLMs from losing context or 'intent forgetting' in extended conversations
- Maintaining awareness of core problems and objectives throughout multi-turn AI interactions
- Ensuring LLM responses consistently apply accumulated constraints and decisions
