auto-memorylisted

# AutoMemory Memory as a capability, not just storage. Adapts to patterns in agent behavior. ## Features - **MemoryBank** — persistent key/value store with categories and confidence scores - **TrajectoryRecorder** — capture goal→actions→outcomes paths - **Compressor** — deduplicate, bottleneck reduction, pattern extraction - **Hook** — integrate with context_profiler and control loop ## Usage ```python from skills.auto_memory import init_memory, store_memory, recall_memory bank = init_memory() store_memory("user_pref.format", "concise", category="user_pref", confidence=0.95) prefs = recall_memory("user_pref.format") ``` ## Integration Add to `control_loop.py`: ```python from skills.auto_memory.hook import init_memory, record_step, consolidate_memory bank = init_memory("task_123") record_step("plan", {"steps": ["a", "b"]}) consolidate_memory() # merge similar memories ```