Retrieval Feedback Events Implementation Plan

For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (- [x]) syntax for tracking.

Goal: Let Python callers append feedback for retrieved context so useful context reinforces decay-aware memory.

Architecture: Add MemoryFabric.record_context_feedback() as a small API over existing append(). Positive feedback writes memory.reinforced; negative feedback writes audit-only memory.feedback. Query chunks also expose entity identity so feedback can target the retrieved graph entity.

Tech Stack: Python 3.11, pytest, ruff, mypy.

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Task 1: Feedback API Tests

Files:

Task 2: Feedback API Implementation

Files:

Task 3: Docs, Verification, Commit

Files: