ReasoningBank Intelligence

概要

ReasoningBank Intelligence provides a sophisticated framework for building self-learning agents that evolve over time. By leveraging experience recording and pattern matching, it allows AI systems to perform meta-cognitive analysis and identify the most effective strategies for specific tasks. Whether you're building complex agentic flows or optimizing existing workflows, this skill facilitates transfer learning across domains and integrates with AgentDB for persistent memory, ensuring your agents become smarter and more efficient with every interaction.

主な機能

• Transfer learning between different functional domains
• Strategy optimization through performance comparison
• Pattern recognition and matching from historical data
• 0 GitHub stars
• Continuous auto-learning from task outcomes
• Meta-learning for high-level process improvement

ユースケース

• Developing self-improving agents that adapt to feedback
• Implementing meta-cognitive systems that learn from their own decision-making processes
• Optimizing software development workflows like code reviews and bug fixing