Option D (Rhea+Rio+Leo consensus): - _load_learnings(): reads agents/rio/learnings.md, injects into prompt before KB context - _save_learning(): appends correction to learnings.md via worktree lock + direct commit - Learnings prioritized over KB data when they conflict - Three categories: communication, factual, structured_data - Prompt updated: tells agent it can save corrections for future conversations Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70> |
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| .. | ||
| bot.py | ||
| kb_retrieval.py | ||
| market_data.py | ||
| teleo-telegram.service | ||
| worktree_lock.py | ||