- Single-file mutation loop working (benchmarks/benchmark_runner.py)
- Randomize file target selection — unlock multi-file evolution
- Cross-file recombination operator — swap functions between files
- Self-target orchestator.py — evolve the evolution loop itself
- Population diversity scoring — prevent monoculture
- Operator genealogy tracking — trace which operators produce which descendants
- Self-discovery of new operators via
_evolve_operatormeta-mutation - Fitness landscape visualization in dashboard
- Recursive self-improvement: forge modifies its own mutation rate adaptation
- Cross-file function transplant: move a function from one file to another
- Emergent behavior detection: log when unexpected state transitions occur
- Chimera components: combine source from two different champions into one file
- Neural network-guided operator selection (replace weighted random)
- Automated rollback when fitness drops below threshold
- Self-modification of safety policy (tier adjustments based on track record)
- Archive diffs instead of full snapshots
- Docker sandbox for full isolation
- Parallel population islands with migration