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About agent-safla-neural
agent-safla-neural
Agent skill for safla-neural - invoke with $agent-safla-neural
agent-safla-neural is an agent skill from the ruflo project that sets up a neural specialist based on the Self-Aware Feedback Loop Algorithm, called SAFLA. It is aimed at intelligent AI systems that keep memory across sessions and improve through feedback. The skill describes its core capabilities as persistent memory architecture, with multi-tier memory systems, feedback loop engineering for self-improving learning cycles, and distributed neural training across cloud clusters. Other listed capabilities are memory compression, with the claim of keeping recall while cutting size, real-time processing, safety constraints for agents that change themselves, divergent thinking patterns, cross-session learning, swarm memory sharing and adaptive strategies that change with performance measurements. The skill is meant for developers who want an agent that learns from experience and keeps context over time, and it leans toward research-style system design rather than a simple chatbot setup. The numbers quoted in the skill's description are the author's claims and are not independently verified here. Because self-modifying agents need care, the skill includes safety constraints, and the work should be reviewed before it runs unattended. It passes Gen Agent Trust Hub, Socket and Snyk on skills.sh. Install it with npx skills add https://github.com/ruvnet/ruflo --skill agent-safla-neural.
- Price
- Free
- Made by
- ruvnet
- Category
- AI Skills
- Website
- github.com/ruvnet/ruflo/agent-safla-neural