ruflo-intelligence

What your AI can do with it

• Learns from the outcomes of past tasks using SONA patterns
• Applies trajectory learning to improve behavior over repeated work
• Routes each task to the AI model best suited for that job
• Stores learned patterns so the agent can reuse them on future tasks

Getting started

1. Have an agent environment that supports installing plugins.
2. Add the ruflo-intelligence plugin to that environment.
3. Enable the plugin in the agent's configuration so its learning and routing features are active.
4. Run tasks with the agent and let it record outcomes to build up learned patterns.

Signals

GitHub stars

73k

Forks

9k

Last commit

Sep 2026

Questions

What does ruflo-intelligence do?

It is a plugin that adds self-learning neural intelligence to an agent, using SONA patterns, trajectory learning, and model routing so the agent learns from past task outcomes and picks the best AI model for each job.

How does model routing work?

Based on the item's description, the plugin routes each job to the AI model best suited for it. The catalog entry does not describe the internal routing mechanism in detail.

Does it need training data?

The plugin learns from the outcomes of tasks the agent performs, so it builds experience from the agent's own past work. No separate training data requirement is stated.