MCP ServersDual Cycle Reasoner
Created at 2 months ago
by cyqlelabs
A Model Context Protocol (MCP) server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. This tool empowers agents with greater self-awareness and reliability through intelligent loop detection and experience acquisition.
Categories
Tags
reasoning
loop
prevention
experience
acquisition
What is Dual Cycle Reasoner?
The Dual Cycle Reasoner is a Model Context Protocol (MCP) server that implements the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents, enhancing their self-awareness and reliability through intelligent loop detection and experience acquisition.
How to use Dual Cycle Reasoner?
To use the Dual Cycle Reasoner, clone the repository, install dependencies, and run the server in either HTTP Stream or Stdio mode. You can also integrate it with Claude Desktop by configuring the MCP settings.
Key features of Dual Cycle Reasoner?
- 📊 Advanced statistical analysis with entropy-based anomaly detection.
- 🧠 Enhanced case-based reasoning using semantic similarity matching.
- 🎯 Multi-strategy detection for loops, including statistical and pattern-based methods.
- 📈 Time series analysis for trend detection.
- 🔧 Configurable detection parameters for domain-specific needs.
- 🎨 Intelligent case management for optimizing experiences.
Use cases of Dual Cycle Reasoner?
- Monitoring autonomous agents to prevent repetitive actions.
- Storing and retrieving past experiences for improved decision-making.
- Enhancing AI reliability in complex tasks through metacognitive awareness.
FAQ from Dual Cycle Reasoner?
- Can the Dual Cycle Reasoner be used for all types of autonomous agents?
Yes! It is designed to enhance the reasoning capabilities of various autonomous agents across different domains.
- Is there a specific programming language required to use it?
The server is built with TypeScript and requires Node.js for execution.
- How can I contribute to the project?
Contributions are welcome! Please refer to the contributing guidelines in the repository.
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