Add compelling comparison tables and feature highlights: - SONA self-learning vs static memory - GNN graph intelligence vs flat vectors - 100x performance improvement - 10-20x memory efficiency - ruvLLM adaptive learning capabilities Make the value proposition clear for PR reviewers. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| agent-tools.md | ||
| manifest.md | ||
| memory-ruvector.md | ||
| voice-call.md | ||
| zalouser.md | ||