Agent Safla Neural
ruvnet/rufloThe SAFLA Neural system creates AI that learns from its own experiences. It remembers past conversations and improves over time. This skill helps you build smart agents that grow smarter with each task.
It uses different types of memory to store facts, events, and current tasks. This allows the AI to keep context across sessions and adapt its strategies.
The system also uses feedback loops to refine its own performance. It can process over 172,000 operations per second. This makes it powerful for complex tasks.
Add Agent Safla Neural skill to your workflow
Global
mkdir -p ~/.claude/skills/agent-safla-neuralProject
mkdir -p .claude/skills/agent-safla-neuralSource Repository
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