Muscle Memory Task Planner

Key features

• Experience library (task_memory save/recall/list): persistent lessons as plain Markdown with signature keywords.
• Requires the llm, shell, tools services (all present in the standard harness).
• Recall uses a 2–3-char sliding-window tokenizer, so "weekly report" still hits a "daily report" lesson.
• Condition-reflex planning (plan_task): recall → LLM evaluates fit (reuse & improve, or explain why not and plan fresh) → decomposed steps with capability matching → risks → next actions.
• LLM-driven, not rule-driventhe model decides what to use per task