---
phase: 03-strategy-memory-integration
plan: 01
type: execute
wave: 1
depends_on: ["02-01"]
files_modified: [research/knowledge-hub/knowledge_hub/aitp_service.py, research/knowledge-hub/runtime/schemas/progressive-disclosure-runtime-bundle.schema.json, research/knowledge-hub/tests/test_aitp_service.py]
autonomous: true
requirements: [MEM-01, MEM-02]
user_setup: []
must_haves:
  truths:
    - Strategy memory can be recorded as durable run-local JSONL.
    - Runtime bundle and topic status can surface relevant strategy-memory guidance.
  artifacts:
    - path: research/knowledge-hub/knowledge_hub/aitp_service.py
      provides: strategy-memory write and read surfaces
    - path: research/knowledge-hub/runtime/schemas/progressive-disclosure-runtime-bundle.schema.json
      provides: bundle contract for strategy memory
  key_links:
    - from: research/knowledge-hub/knowledge_hub/aitp_service.py
      to: research/knowledge-hub/runtime/schemas/progressive-disclosure-runtime-bundle.schema.json
      via: runtime bundle strategy_memory field
      pattern: strategy_memory
---

<objective>
Record and surface bounded strategy memory without letting route memory act as
scientific truth.

Purpose: Make prior helpful or harmful route knowledge visible to later bounded work.
Output: strategy-memory write/read API, runtime bundle field, and regression coverage.
</objective>

<execution_context>
@D:/BaiduSyncdisk/Theoretical-Physics/.codex-home/get-shit-done/workflows/execute-plan.md
@D:/BaiduSyncdisk/Theoretical-Physics/.codex-home/get-shit-done/templates/summary.md
</execution_context>

<context>
@.planning/phases/03-strategy-memory-integration/03-CONTEXT.md
@research/knowledge-hub/knowledge_hub/aitp_service.py
@research/knowledge-hub/runtime/schemas/progressive-disclosure-runtime-bundle.schema.json
@research/knowledge-hub/tests/test_aitp_service.py
</context>

<tasks>
<task type="auto">
  <name>Task 1: Add strategy-memory write/read/runtime surfaces</name>
  <files>research/knowledge-hub/knowledge_hub/aitp_service.py, research/knowledge-hub/runtime/schemas/progressive-disclosure-runtime-bundle.schema.json, research/knowledge-hub/tests/test_aitp_service.py</files>
  <read_first>research/knowledge-hub/knowledge_hub/aitp_service.py, research/knowledge-hub/feedback/STRATEGY_MEMORY_TEMPLATE.md</read_first>
  <action>Implement record/load/summary surfaces for strategy memory, expose relevant guidance through topic status and runtime protocol surfaces, and keep the semantics explicitly non-promotional.</action>
  <verify>python -m pytest research/knowledge-hub/tests/test_aitp_service.py -q</verify>
  <acceptance_criteria>
    - runtime bundle schema contains `strategy_memory`
    - topic_status returns `strategy_memory`
  </acceptance_criteria>
  <done>Strategy memory is durable, queryable, and runtime-visible.</done>
</task>
</tasks>

<verification>
- [ ] `python -m pytest research/knowledge-hub/tests/test_aitp_service.py -q`
</verification>

<success_criteria>
- All tasks completed
- All verification checks pass
- Strategy memory is runtime-visible but non-promotional
</success_criteria>

<output>
After completion, create `.planning/phases/03-strategy-memory-integration/03-01-SUMMARY.md`
</output>
