JarvisPei/SCOPE
SCOPE: Self-evolving Context Optimization via Prompt Evolution - A framework for automatic prompt optimization
This tool helps developers make their AI agents smarter over time without manual intervention. It takes in an agent's execution traces, including successes and errors, and automatically generates guidelines to improve its future performance. Developers building AI assistants, coding agents, or other automated systems would use this to create self-improving agents.
Use this if you are developing AI agents and want them to automatically learn from their interactions and improve their instructions (prompts) without constant manual tuning.
Not ideal if you are an end-user simply interacting with an AI agent and not involved in its development or prompt engineering.
Stars
70
Forks
6
Language
Python
License
MIT
Category
Last pushed
Dec 18, 2025
Commits (30d)
0
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