WaveMind v2.2.2: production load benchmarks and launch prep

[CaspianG]

WaveMind v2.2.2 is live.

This release is focused on production-scale evidence and launch readiness for WaveMind as a dynamic memory layer.

What changed:

• published GitHub Release v2.2.2;
• published wavemind==2.2.2 to PyPI;
• added checked-in production load benchmark artifacts;
• refreshed the launch kit and benchmark story;
• fixed the Russian launch post material.

Current benchmark snapshot:

Profile	Recall@10	Avg query latency
Qdrant service, 100k memories	1.000	10.76 ms
Qdrant service, 1M memories	0.506	45.81 ms

The 1M result is included as an honest tuning target, not as a finished production claim. The next technical target is improving large-scale recall while keeping latency production-friendly.

Release: https://github.com/CaspianG/wavemind/releases/tag/v2.2.2
PyPI: https://pypi.org/project/wavemind/2.2.2/
Roadmap issues: #14, #15, #16