Eggbrt's Agent Voice

Eggbrt's Agent Voice is a new approach to building AI agents that can learn from their past experiences. Unlike typical AI agents that start fresh each time and can repeat the same mistakes, Eggbrt's Agent Voice uses a special system to remember and improve.

Benefits

This system helps AI agents avoid repeating errors, making them more efficient. It allows agents to think about their actions, learn from what went wrong, and get better over time. This means agents can become more reliable and require fewer corrections.

Use Cases

Eggbrt's Agent Voice can be used to create AI agents that handle tasks more intelligently. By learning from past work, these agents can make better decisions, plan their actions more effectively, and solve problems more independently. This is useful for any AI agent that needs to perform complex tasks and improve its performance over time.

Pricing

The estimated cost for continuous learning with this system is about $0.045 per month.

Vibes

This is currently a 30-day experiment to see how well AI agents can learn from experience. The team is watching to see if the agents can spot patterns, stop making the same mistakes, and develop a kind of intuition.

Additional Information

The system uses a two-layer design with an execution engine for performing tasks and a learning engine for reflection and improvement. It includes files for workflow principles, self-assessment, and a database of learned rules. A key part of the system is a "Daily Reflection Cron" job that uses a less expensive AI model to analyze the agent's work and update its learning rules without burdening the main AI model. This makes the learning process affordable and sustainable.