Parallel agent experimentation system
Run multiple agents down competing paths for runnable code against a target metric, carry successful results into later generations, and preserve failed approaches as evidence.
From Github Awesome — GitHub Trending Today #47: 4DAnyone, microduck, boop, PRAXIST, acryl, pgterm, sepia, OpenInstinct at 02:19
Problem: Provides structured exploration after a project reaches a metric and the team does not know what to try next.
For: Engineering or research teams facing optimization problems where the next experiment is unclear.
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Examples
- PRAXIST: sends several agents down competing paths and feeds what worked into subsequent generations.