hankbesser/recursive-agents
A meta-framework for self-improving LLMs with transparent reasoning
This helps analysts and domain experts get more accurate and transparent insights from large language models. You provide a question or problem, and the system automatically refines its answer through multiple rounds of self-critique and revision, producing a final, well-thought-out analysis. It's designed for anyone who needs reliable, auditable answers from AI, such as marketers, bug triagers, or strategists.
Use this if you need deep, well-reasoned analyses from an AI, and you want to understand *how* the AI arrived at its conclusion, seeing its entire thought process.
Not ideal if you need instant, single-pass responses for simple queries where detailed reasoning and iterative refinement are not critical.
Stars
34
Forks
5
Language
Python
License
MIT
Category
Last pushed
Dec 10, 2025
Commits (30d)
0
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