kayba-ai/recursive-improve

🪞 Make your agents recursively self-improve

44
/ 100
Emerging

This project helps AI developers and prompt engineers make their language model (LLM) agents smarter and more efficient over time. By observing how an agent performs on real tasks and identifying common issues like errors or wasted effort, this tool automatically suggests and applies fixes to the agent's code or prompts. The result is an agent that continuously improves its problem-solving abilities and resource usage.

153 stars.

Use this if you are building LLM-powered agents and want a systematic way to identify their weaknesses and automatically implement improvements for better performance and cost-effectiveness.

Not ideal if you are not working with LLM agents or if your agent's performance is already consistently perfect and doesn't require further optimization.

LLM-agent-development prompt-engineering AI-workflow-optimization agent-performance-tuning autonomous-system-improvement
No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 12 / 25

How are scores calculated?

Stars

153

Forks

12

Language

Python

License

Apache-2.0

Category

agent-framework

Last pushed

Mar 31, 2026

Commits (30d)

0

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