slime-strategy

A slime-mold inspired parallel autonomy workflow coordinates multiple concurrent AI agent branches to explore a problem space. These branches exchange insights through cross-pollination and converge on effective solutions, amplifying overall discovery coverage.

Run the slime command to initialize the parallel autonomy workflow. This creates governance documentation, initial branch structures, and iteration tracking to manage concurrent exploration branches sharing learnings.

Iteration tracking uses an iteration-0000 baseline and commands like /fork-iteration, /analyze-branch, and /start-iteration to govern autonomous experiments. This lifecycle governance maintains goals and monitors branch progress.

Yes, cross-pollination integrates insights from successful branches into others. This cooperative feedback mechanism allows parallel exploration branches to share learnings and improve overall problem-space discovery.

Use autonomy governance documentation to manage concurrent AI agent branches. Establish initial branch structures and apply iteration tracking commands to coordinate multiple approaches exploring the same goal.

No specific dependencies are required to run the branch management workflow. The system relies on internal commands and documentation structures to implement genetic algorithm inspired parallel autonomy.