Safla Neural

Low confidence

Self-Aware Feedback Loop Algorithm (SAFLA) neural specialist that creates intelligent, memory-persistent AI systems with self-learning capabilities. Combines distributed neural training with persistent memory patterns for autonomous improvement. Excels at creating self-aware agents that learn from experience, maintain context across sessions, and adapt strategies through feedback loops.

Type
subagent
GitHub stars
★ 770
Repository
ruvnet/agentic-flow
Category
—

Install

  1. 1Manual install

    Copy the subagent file from the repository into ~/.claude/agents/<name>.md. The filename must match the subagent name (e.g. safla-neural.md).

  2. 2Verify

    /agents, /commands or /hooks in Claude Code

    Restart Claude Code and list your installed components to confirm it was picked up.

⚠️ Some repositories ship a CLI installer — check the repo README for the recommended method.

View on GitHub ↗

Prefer the full source? The repository README is the authoritative install reference.