[93m[1m! [0m agent "general" is a subagent, not a primary agent. Falling back to default agent
{"type":"step_start","timestamp":1777227139588,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe09fd001PRUrLhFQBBgSqk","messageID":"msg_dcafde641001JgfpU3Orq7Qk3x","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","snapshot":"12cbdf15a0ef2a0f7ae578cc814607648691938c","type":"step-start"}}
{"type":"tool_use","timestamp":1777227149551,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe28c20015WnyhMdWXHXdf2","messageID":"msg_dcafde641001JgfpU3Orq7Qk3x","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","type":"tool","tool":"spec_kit_memory_memory_quick_search","callID":"call_00_PBK7DQEPpU4Vi66cvUW85qUa","state":{"status":"completed","input":{"query":"memory","limit":10},"output":"{\n  \"summary\": \"Found 5 memories\",\n  \"data\": {\n    \"searchType\": \"hybrid\",\n    \"count\": 1,\n    \"constitutionalCount\": 0,\n    \"requestQuality\": {\n      \"label\": \"weak\"\n    },\n    \"recovery\": {\n      \"status\": \"low_confidence\",\n      \"reason\": \"low_signal_query\",\n      \"suggestedQueries\": [],\n      \"recommendedAction\": \"switch_mode\"\n    },\n    \"stateStats\": {\n      \"minState\": \"\",\n      \"before\": {\n        \"UNKNOWN\": 5\n      },\n      \"after\": {\n        \"UNKNOWN\": 5\n      },\n      \"removed\": 0\n    },\n    \"featureFlags\": {\n      \"trmEnabled\": true,\n      \"multiQueryEnabled\": true,\n      \"stateLimitsApplied\": false\n    },\n    \"pipelineMetadata\": {\n      \"stage1\": {\n        \"searchType\": \"hybrid\",\n        \"channelCount\": 1,\n        \"activeChannels\": 2,\n        \"candidateCount\": 12,\n        \"constitutionalInjected\": 2,\n        \"durationMs\": 311\n      },\n      \"stage2\": {\n        \"sessionBoostApplied\": \"off\",\n        \"causalBoostApplied\": \"applied\",\n        \"intentWeightsApplied\": \"off\",\n        \"artifactRoutingApplied\": \"applied\",\n        \"feedbackSignalsApplied\": \"off\",\n        \"graphContribution\": {\n          \"killSwitchActive\": false,\n          \"causalBoosted\": 0,\n          \"coActivationBoosted\": 0,\n          \"communityInjected\": 0,\n          \"graphSignalsBoosted\": 0,\n          \"totalGraphInjected\": 0,\n          \"rolloutState\": \"bounded_runtime\"\n        },\n        \"qualityFiltered\": 0,\n        \"durationMs\": 5,\n        \"recencyFusionApplied\": true,\n        \"recencyFusionBoosted\": 11,\n        \"coActivationApplied\": true,\n        \"graphSignalsApplied\": true\n      },\n      \"stage3\": {\n        \"rerankApplied\": true,\n        \"rerankProvider\": \"cross-encoder\",\n        \"chunkReassemblyStats\": {\n          \"collapsedChunkHits\": 0,\n          \"chunkParents\": 0,\n          \"reassembled\": 0,\n          \"fallback\": 0\n        },\n        \"durationMs\": 272\n      },\n      \"stage4\": {\n        \"stateFiltered\": 0,\n        \"constitutionalInjected\": 2,\n        \"evidenceGapDetected\": false,\n        \"durationMs\": 0\n      },\n      \"timing\": {\n        \"stage1\": 311,\n        \"stage2\": 5,\n        \"stage3\": 272,\n        \"stage4\": 0,\n        \"total\": 588\n      }\n    },\n    \"lexicalPath\": \"fts5\",\n    \"fallbackState\": \"ok\",\n    \"intent\": {\n      \"type\": \"understand\",\n      \"confidence\": 1,\n      \"description\": \"Understanding or exploring the codebase\",\n      \"weightsApplied\": \"off\"\n    },\n    \"artifactRouting\": {\n      \"strategy\": {\n        \"artifactClass\": \"memory\",\n        \"semanticWeight\": 0.8,\n        \"keywordWeight\": 0.2,\n        \"recencyBias\": 0.6,\n        \"maxResults\": 5,\n        \"boostFactor\": 1.1\n      },\n      \"detectedClass\": \"memory\",\n      \"confidence\": 0.5\n    },\n    \"artifact_routing\": {\n      \"strategy\": {\n        \"artifactClass\": \"memory\",\n        \"semanticWeight\": 0.8,\n        \"keywordWeight\": 0.2,\n        \"recencyBias\": 0.6,\n        \"maxResults\": 5,\n        \"boostFactor\": 1.1\n      },\n      \"detectedClass\": \"memory\",\n      \"confidence\": 0.5\n    },\n    \"graphContribution\": {\n      \"killSwitchActive\": false,\n      \"causalBoosted\": 0,\n      \"coActivationBoosted\": 0,\n      \"communityInjected\": 0,\n      \"graphSignalsBoosted\": 0,\n      \"totalGraphInjected\": 0,\n      \"rolloutState\": \"bounded_runtime\"\n    },\n    \"graph_contribution\": {\n      \"killSwitchActive\": false,\n      \"causalBoosted\": 0,\n      \"coActivationBoosted\": 0,\n      \"communityInjected\": 0,\n      \"graphSignalsBoosted\": 0,\n      \"totalGraphInjected\": 0,\n      \"rolloutState\": \"bounded_runtime\"\n    },\n    \"rerankMetadata\": {\n      \"reranking_enabled\": true,\n      \"reranking_requested\": true,\n      \"reranking_applied\": true\n    },\n    \"sourceContract\": {\n      \"version\": \"gate-d-reader-ready-v1\",\n      \"archivedTierEnabled\": false,\n      \"legacyFallbackEnabled\": false,\n      \"includeArchivedCompatibility\": \"not_requested\",\n      \"preferredDocumentTypes\": [\n        \"spec_doc\",\n        \"continuity\"\n      ],\n      \"retainedResults\": 5,\n      \"droppedNonCanonicalResults\": 0,\n      \"countsBySourceKind\": {\n        \"spec_doc\": 5,\n        \"continuity\": 0,\n        \"constitutional\": 0\n      }\n    },\n    \"retrievalTrace\": {\n      \"traceId\": \"tr_mog35oiu_qdx82k\",\n      \"query\": \"memory\",\n      \"intent\": \"understand\",\n      \"stages\": [\n        {\n          \"stage\": \"candidate\",\n          \"timestamp\": 1777227148903,\n          \"inputCount\": 0,\n          \"outputCount\": 0,\n          \"durationMs\": 0,\n          \"metadata\": {\n            \"channel\": \"d2-concept-expansion\",\n            \"originalQuery\": \"memory\",\n            \"expandedQuery\": \"memory memories knowledge context\",\n            \"expansionTerms\": [\n              \"memories\",\n              \"knowledge\",\n              \"context\"\n            ],\n            \"matchedConcepts\": [\n              \"memory\"\n            ]\n          }\n        },\n        {\n          \"stage\": \"candidate\",\n          \"timestamp\": 1777227148903,\n          \"inputCount\": 0,\n          \"outputCount\": 0,\n          \"durationMs\": 0,\n          \"metadata\": {\n            \"channel\": \"d2-concept-routing\",\n            \"matchedConcepts\": [\n              \"memory\"\n            ],\n            \"graphActivated\": true\n          }\n        },\n        {\n          \"stage\": \"candidate\",\n          \"timestamp\": 1777227149213,\n          \"inputCount\": 1,\n          \"outputCount\": 12,\n          \"durationMs\": 311,\n          \"metadata\": {\n            \"searchType\": \"hybrid\",\n            \"mode\": null,\n            \"channelCount\": 1,\n            \"deepExpansion\": false,\n            \"r12EmbeddingExpansion\": true\n          }\n        },\n        {\n          \"stage\": \"fusion\",\n          \"timestamp\": 1777227149218,\n          \"inputCount\": 12,\n          \"outputCount\": 5,\n          \"durationMs\": 5,\n          \"metadata\": {\n            \"sessionBoostApplied\": \"off\",\n            \"causalBoostApplied\": \"applied\",\n            \"intentWeightsApplied\": \"off\",\n            \"artifactRoutingApplied\": \"applied\",\n            \"feedbackSignalsApplied\": \"off\",\n            \"graphContribution\": {\n              \"killSwitchActive\": false,\n              \"causalBoosted\": 0,\n              \"coActivationBoosted\": 0,\n              \"communityInjected\": 0,\n              \"graphSignalsBoosted\": 0,\n              \"totalGraphInjected\": 0,\n              \"rolloutState\": \"bounded_runtime\"\n            },\n            \"searchType\": \"hybrid\",\n            \"isHybrid\": true\n          }\n        },\n        {\n          \"stage\": \"rerank\",\n          \"timestamp\": 1777227149488,\n          \"inputCount\": 5,\n          \"outputCount\": 5,\n          \"durationMs\": 270,\n          \"metadata\": {\n            \"rerankApplied\": true,\n            \"provider\": \"cross-encoder\"\n          }\n        },\n        {\n          \"stage\": \"final-rank\",\n          \"timestamp\": 1777227149490,\n          \"inputCount\": 5,\n          \"outputCount\": 5,\n          \"durationMs\": 0,\n          \"metadata\": {\n            \"collapsedChunkHits\": 0,\n            \"chunkParents\": 0,\n            \"reassembled\": 0,\n            \"fallback\": 0\n          }\n        },\n        {\n          \"stage\": \"filter\",\n          \"timestamp\": 1777227149490,\n          \"inputCount\": 5,\n          \"outputCount\": 5,\n          \"durationMs\": 0,\n          \"metadata\": {\n            \"stateFiltered\": 0,\n            \"evidenceGapDetected\": false,\n            \"trmEnabled\": true,\n            \"applyStateLimits\": false,\n            \"minState\": \"\"\n          }\n        }\n      ],\n      \"totalDurationMs\": 586,\n      \"finalResultCount\": 5\n    },\n    \"appliedBoosts\": {\n      \"session\": {\n        \"applied\": \"off\"\n      },\n      \"causal\": {\n        \"applied\": \"applied\"\n      }\n    },\n    \"applied_boosts\": {\n      \"session\": {\n        \"applied\": \"off\"\n      },\n      \"causal\": {\n        \"applied\": \"applied\"\n      }\n    },\n    \"progressiveDisclosure\": {\n      \"summaryLayer\": {\n        \"count\": 5,\n        \"digest\": \"5 weak\"\n      },\n      \"results\": [\n        {\n          \"snippet\": \"\",\n          \"detailAvailable\": false,\n          \"resultId\": \"2246\"\n        },\n        {\n          \"snippet\": \"\",\n          \"detailAvailable\": false,\n          \"resultId\": \"2351\"\n        },\n        {\n          \"snippet\": \"\",\n          \"detailAvailable\": false,\n          \"resultId\": \"2538\"\n        },\n        {\n          \"snippet\": \"\",\n          \"detailAvailable\": false,\n          \"resultId\": \"38\"\n        },\n        {\n          \"snippet\": \"\",\n          \"detailAvailable\": false,\n          \"resultId\": \"332\"\n        }\n      ],\n      \"continuation\": null\n    },\n    \"results\": [\n      {\n        \"id\": 2246,\n        \"specFolder\": \"system-spec-kit/026-graph-and-context-optimization/000-release-cleanup/001-memory-terminology\",\n        \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/system-spec-kit/026-graph-and-context-optimization/000-release-cleanup/001-memory-terminology/spec.md\",\n        \"title\": \"Feature Specification: Memory→Behavioral Phrasing Audit [system-spec-kit/026-graph-and-context-optimization/000-release-...\",\n        \"similarity\": 72.42,\n        \"isConstitutional\": false,\n        \"importanceTier\": \"important\",\n        \"triggerPhrases\": [],\n        \"createdAt\": \"2026-04-26T14:30:11.922Z\",\n        \"isChunk\": false,\n        \"parentId\": null,\n        \"chunkIndex\": null,\n        \"chunkLabel\": null,\n        \"chunkCount\": null,\n        \"contentSource\": \"file_read_fallback\",\n        \"trustBadges\": {\n          \"confidence\": 0.5,\n          \"extractionAge\": \"today\",\n          \"lastAccessAge\": \"never\",\n          \"orphan\": true,\n          \"weightHistoryChanged\": false\n        },\n        \"content\": \"---\\ntitle: \\\"Feature Specification: Memory→Behavioral Phrasing Audit [system-spec-kit/026-graph-and-context-optimization/000-release-cleanup/001-memory-terminology/spec]\\\"\\ndescription: \\\"Phrasing pass across user-visible surfaces. Where docs say 'memories' / 'load recent memories' / 'save your memory', replace with concrete behavioral language that names what the system actually loads, saves, and retrieves (spec-doc records, indexed continuity, constitutional rules, packet folders). No command names, no MCP tool names, no SQL tables, no frontmatter keys, no behavior changes — pure phrasing across markdown docs, MCP tool description strings, and runtime output messages.\\\"\\ntemplate_source_hint: \\\"<!-- SPECKIT_TEMPLATE_SOURCE: spec-core + level2-verify | v2.2 -->\\\"\\ntrigger_phrases:\\n  - \\\"memory phrasing audit\\\"\\n  - \\\"load recent memories rephrase\\\"\\n  - \\\"memory documentation cleanup\\\"\\n  - \\\"behavioral language pass\\\"\\n  - \\\"spec doc phrasing\\\"\\n  - \\\"tool description phrasing\\\"\\n  - \\\"runtime output specificity\\\"\\nimportance_tier: \\\"important\\\"\\ncontextType: \\\"implementation\\\"\\n_memory:\\n  continuity:\\n    packet_pointer: \\\"system-spec-kit/026-graph-and-context-optimization/000-release-cleanup/001-memory-terminology\\\"\\n    last_updated_at: \\\"2026-04-26T11:25:00Z\\\"\\n    last_updated_by: \\\"claude-opus-4-7\\\"\\n    recent_action: \\\"Pivoted scope from rename to phrasing-audit-only; archived prior rename-shaped 10-iteration deep research to research_archive/rename-pivot-2026-04-26-pt-01/; rewrote spec.md and dropped phrasing-audit.md with concrete current→proposed grid\\\"\\n    next_safe_action: \\\"Review phrasing-audit.md current→proposed grid; redline disagreements; then apply edits in 2-3 PRs grouped by surface (.md docs, tool-schemas descriptions, runtime output strings)\\\"\\n    blockers: []\\n    key_files:\\n      - \\\"spec.md\\\"\\n      - \\\"phrasing-audit.md\\\"\\n      - \\\"research_archive/rename-pivot-2026-04-26-pt-01/\\\"\\n    session_dedup:\\n      fingerprint: \\\"sha256:phrasing-audit-pivot-2026-04-26\\\"\\n      session_id: \\\"001-memory-terminology-phrasing-pivot-2026-04-26\\\"\\n      parent_session_id: null\\n    completion_pct: 25\\n    open_questions: []\\n    answered_questions: []\\n---\\n# Feature Specification: Memory→Behavioral Phrasing Audit\\n\\n<!-- SPECKIT_LEVEL: 2 -->\\n<!-- SPECKIT_TEMPLATE_SOURCE: spec-core + level2-verify | v2.2 -->\\n\\n---\\n\\n<!-- ANCHOR:metadata -->\\n## 1. METADATA\\n\\n| Field | Value |\\n|-------|-------|\\n| **Level** | 2 |\\n| **Priority** | P1 |\\n| **Status** | Draft |\\n| **Created** | 2026-04-26 |\\n| **Branch** | `026-graph-and-context-optimization` |\\n| **Parent Spec** | `../../spec.md` |\\n| **Predecessor** | `../001-release-cleanup-playbooks/spec.md` |\\n| **Successor** | TBD |\\n<!-- /ANCHOR:metadata -->\\n\\n---\\n\\n<!-- ANCHOR:problem -->\\n## 2. PROBLEM & PURPOSE\\n\\n### Problem Statement\\n\\nUser-facing prose across READMEs, skill docs, MCP tool descriptions, and runtime output strings overuses the abstract noun \\\"memory / memories\\\" where a concrete behavioral noun would be clearer. Concrete examples that already ship today:\\n\\n- `SKILL.md:623` — \\\"FSRS v4 power-law model; recent **memories** rank higher\\\" — what's a memory? An indexed spec-doc record. Reader has to guess.\\n- `references/debugging/troubleshooting.md:237` — \\\"// List recent **memories**\\\" — list what?\\n- `references/validation/decision_format.md:281` — \\\"Loaded 3 **memories**\\\" — loaded which 3? From where?\\n- `feature_catalog/feature_catalog.md:905` — \\\"the web of connections between **your memories**\\\" + \\\"memories are linked together\\\" + \\\"memories are isolated\\\" + \\\"your memories\\\" — four abstract uses in one paragraph.\\n- `tool-schemas.ts:48` (`memory_context` description) — \\\"START HERE for most **memory operations**\\\" — sent to AI agents on every tool list; the agent has to infer what \\\"memory operations\\\" means.\\n\\nThe result: new contributors (and AI agents reading tool descriptions) cannot reliably predict what each tool/doc operates on. The recent deep-research pivot (archived under `research_archive/rename-pivot-2026-04-26-pt-01/`) confirmed the problem but over-scoped the fix to a code+command+key rename. **This packet narrows the fix to phrasing only.**\\n\\n### Purpose\\n\\nReplace abstract \\\"memory/memories\\\" prose with concrete behavioral nouns that name *what the system actually loads, saves, and retrieves* — across the three user-visible surface classes (markdown prose, MCP tool descriptions, runtime output strings) — without renaming any command, tool, frontmatter key, table, file, or folder. Behavior, schemas, and APIs stay identical.\\n<!-- /ANCHOR:problem -->\\n\\n---\\n\\n<!-- ANCHOR:scope -->\\n## 3. SCOPE\\n\\n### In Scope\\n\\nThree surface classes, all user-visible:\\n\\n- **(A) Markdown prose** — `SKILL.md`, `README.md`, `INSTALL_GUIDE.md`, `ENV_REFERENCE.md`, `ARCHITECTURE.md`, `references/**/*.md`, `constitutional/README.md`, `feature_catalog/**/*.md`, `manual_testing_playbook/**/*.md`, slash-command bodies in `.opencode/commands/memory/*.md`, agent definitions in `.claude/agents/*.md` and `.opencode/agents/*.md`, `CLAUDE.md`, `AGENTS.md`, `AGENTS_Barter.md`, `AGENTS_example_fs_enterprises.md`. ~30–60 files affected.\\n- **(B1) MCP tool description strings** — the `description:` fields inside `mcp_server/tool-schemas.ts` (sent to AI agents at tool-list time; functionally documentation that lives in code). 21 tools have description strings; ~10 contain the abstract \\\"memory\\\" noun in user-misleading ways.\\n- **(B2) Runtime output strings** — formatter messages in `mcp_server/handlers/memory-*.ts` and `mcp_server/lib/.../formatters/*.ts` that produce text the user sees when a tool runs. Example: when `memory_context` returns \\\"Loaded 3 memories\\\", the message should name the 3 spec docs / packets it actually loaded.\\n\\n### Out of Scope\\n\\n- **Tool, command, frontmatter, table, file, and folder names** — `memory_search`, `memory_save`, `/memory:save`, `/memory:learn`, `_memory.continuity`, `memory_index` SQL table, `memory-search.ts` handler files, `references/memory/` folder, `scripts/dist/memory/` folder — all stay exactly as-is. The prior research output (archived) recommended a rename; the user explicitly scoped that out.\\n- Behavior, schema, and retrieval-algorithm changes.\\n- Parser-fallback infrastructure, deprecation alias matrices, glossary lint validators, pre-commit hooks. The prior research output produced a 4-PR plan optimized for a rename — none of that ships.\\n- The `.opencode/specs/**/*.md` historical corpus (1,916 files using `_memory:` frontmatter). Frontmatter keys are out of scope, so the corpus is untouched.\\n- The `mcp_server/lib/cognitive/` subsystem identifiers (Miller's-Law `working_memory` table, FSRS `*_memory_*` constants, Collins-Loftus spreading-activation terms). These are cited cognitive-science literature, not project jargon, and stay verbatim. Doc-strings inside `cognitive/` that reference *spec-kit rows passed in as parameters* (not literature) MAY be re-phrased — see phrasing-audit.md §6.\\n\\n### Files to Change (by surface)\\n\\n| Surface | Targets | Rough count | Change type |\\n|---------|---------|-------------|-------------|\\n| (A) Skill markdown | SKILL.md, top-level READMEs (4), `references/**/*.md` (20+), `constitutional/README.md`, `feature_catalog/**/*.md` (35+), `manual_testing_playbook/**/*.md`, slash-command bodies (4) | ~60 files; ~150–250 phrase replacements | Modify in place |\\n| (A) Cross-cutting markdown | CLAUDE.md, AGENTS.md, AGENTS_Barter.md, AGENTS_example_fs_enterprises.md | 4 files; ~10–20 replacements | Modify in place (synced triad must commit together; AGENTS_Barter.md is cross-repo symlink) |\\n| (A) Agent definitions | `.claude/agents/*.md`, `.opencode/agents/*.md` | ~16 files; ~10–20 replacements | Modify in place |\\n| (B1) Tool descriptions | `mcp_server/tool-schemas.ts` `description:` fields | 1 file; ~21 description strings, ~10 needing edits | Modify in place |\\n| (B2) Runtime outputs | `mcp_server/handlers/memory-*.ts` formatter messages, `mcp_server/lib/.../formatters/*.ts` | ~5–10 files; format-string edits | Modify in place |\\n\\nThe complete current→proposed phrase grid lives in **phrasing-audit.md** (sibling of this spec). That grid is the implementation phase's working document.\\n<!-- /ANCHOR:scope -->\\n\\n---\\n\\n<!-- ANCHOR:requirements -->\\n## 4. REQUIREMENTS\\n\\n### P0 — Blockers (MUST complete)\\n\\n| ID | Requirement | Acceptance Criteria |\\n|----|-------------|---------------------|\\n| REQ-001 | No tool / command / frontmatter / table / file / folder identifiers change. | `git diff` shows zero edits to identifier strings inside `tool-schemas.ts` `name:` fields, `.opencode/commands/memory/` folder name and command-frontmatter `name:` fields, `_memory:` YAML keys in any frontmatter, SQL table CREATE statements, handler filenames, `references/memory/` and `scripts/dist/memory/` folder names. |\\n| REQ-002 | Every MCP tool's `description:` string in `tool-schemas.ts` names the surface it operates on (spec docs / packet / continuity / constitutional rules / etc.) instead of using \\\"memory\\\" as the bare noun. | Reader of any tool's description can correctly answer \\\"what does this tool read or write?\\\" with a concrete file/store/category, not just \\\"memory\\\". |\\n| REQ-003 | Runtime output messages from MCP tool handlers name specific spec folders, files, or counts when applicable. \\\"Loaded 3 memories\\\" becomes \\\"Loaded 3 spec-doc records: implementation-summary.md from packet A, decision-record.md from packet B, …\\\" or equivalent. | When `memory_context()` / `memory_search()` / `memory_save()` returns successfully, its output contains at least one of: a packet path, a doc filename, an explicit record count + source folder. |\\n| REQ-004 | All \\\"your memories\\\" / \\\"your memory\\\" / \\\"the memory\\\" / \\\"a memory\\\" abstract phrasings in `.md` prose are replaced with concrete behavioral language. Verified by grep. | `grep -niE \\\"(your|the|a|an|each|every)\\\\s+memor(y\\\\|ies)\\\" .opencode/skills/system-spec-kit/**/*.md CLAUDE.md AGENTS.md` returns zero matches outside cognitive-literature contexts (`cognitive/README.md` Miller's-Law / FSRS quotes are exempt). |\\n| REQ-005 | One-paragraph Anthropic disambiguation callout ships in (a) the top-level `system-spec-kit/README.md` §1 OVERVIEW and (b) the `mcp_server/README.md` §1 OVERVIEW. The callout names both Anthropic's Claude Memory tool AND the official MCP reference `memory` server (per archived deep-research finding). | Both READMEs contain a sentence beginning \\\"Note:\\\" that names both Anthropic Claude Memory and the MCP reference `memory` server. |\\n| REQ-006 | The synced top-doc triad rule from MEMORY.md applies — any phrasing edits to `AGENTS.md` co-modify `AGENTS_Barter.md` (cross-repo symlink — commits in BOTH repos) and `AGENTS_example_fs_enterprises.md`. | Commit history shows triad parity for every PR that touches `AGENTS.md` phrasing. |\\n\\n### P1 — Required (complete OR user-approved deferral)\\n\\n| ID | Requirement | Acceptance Criteria |\\n|----|-------------|---------------------|\\n| REQ-007 | `mcp_server/lib/cognitive/` doc-strings that reference *spec-kit rows passed as parameters* (not Miller's-Law / FSRS literature) are re-phrased to \\\"spec-doc record\\\" or equivalent. JSDoc only; no code-symbol changes. | ~10 doc-line edits across `fsrs-scheduler.ts`, `prediction-error-gate.ts`, `temporal-contiguity.ts`, `adaptive-ranking.ts`. The cognitive-literature loanwords (`working_memory`, FSRS constants, spreading-activation terms) stay verbatim. |\\n| REQ-008 | `feature_catalog/feature_catalog.md` (highest-density abstract-memory surface) and `manual_testing_playbook/MANUAL_TESTING_PLAYBOOK.md` get a focused phrasing pass. | The 4 paragraphs at `feature_catalog/feature_catalog.md:905, 2663, 3362, 4208` each name what's actually being saved/connected/fingerprinted instead of using \\\"your memories\\\". Playbook scenario steps name specific spec docs / packets. |\\n<!-- /ANCHOR:requirements -->\\n\\n---\\n\\n<!-- ANCHOR:success-criteria -->\\n## 5. SUCCESS CRITERIA\\n\\n- **SC-001**: A new contributor reading SKILL.md + the four `/memory:*` slash-command bodies + the top-level READMEs can correctly predict what each command writes to and what each MCP tool reads from, without consulting source code.\\n- **SC-002**: AI agents reading tool descriptions in `tool-schemas.ts` get a concrete behavioral statement per tool (no agent-side ambiguity about \\\"memory operations\\\").\\n- **SC-003**: Runtime tool outputs include at least one specific reference (packet path, doc filename, or named-source count) whenever they describe what was loaded / saved / retrieved.\\n- **SC-004**: A reader who already uses Anthropic's Claude Memory tool or the MCP reference `memory` server cannot mistake Spec Kit Memory for either, after reading the top-level README.\\n- **SC-005**: No identifier in `tool-schemas.ts` `name:` fields, frontmatter keys, SQL tables, command names, or handler filenames is touched. Zero rename PRs.\\n<!-- /ANCHOR:success-criteria -->\\n\\n---\\n\\n<!-- ANCHOR:risks -->\\n## 6. RISKS & DEPENDENCIES\\n\\n| Type | Item | Impact | Mitigation |\\n|------|------|--------|------------|\\n| Risk | Edits to `feature_catalog/feature_catalog.md:905, 2663, 3362, 4208` are dense; easy to drift into rewriting whole paragraphs and lose the original technical content. | Medium | Use phrasing-audit.md as the working diff target; constrain replacements to the abstract noun, preserve the surrounding sentence structure. |\\n| Risk | Runtime output edits in `mcp_server/handlers/memory-*.ts` formatter messages may break snapshot tests in `mcp_server/tests/`. | Medium | Run `vitest` on every formatter touch; update snapshots in the same commit; the formatter changes are deterministic so snapshot updates are mechanical. |\\n| Risk | Synced top-doc triad cross-repo symlink (`AGENTS_Barter.md` → separate Barter repo) — partial commit if author forgets the cross-repo step. | High | Same MEMORY.md sync rule from the archived deep research applies. Commits to `AGENTS.md` MUST be paired with commits to `AGENTS_Barter.md` in the Barter repo. |\\n| Risk | Cognitive-literature loanwords (`working_memory` SQL table comments, FSRS doc-strings, Collins-Loftus spreading-activation terms) get mistakenly softened; original literature provenance is lost. | Low | REQ-007 explicitly carves these out. The phrasing-audit.md §6 lists every cognitive-subsystem identifier that must NOT be touched. |\\n| Dependency | Parent 026 phase map slot `000-release-cleanup` and predecessor `001-release-cleanup-playbooks` (closed Phase 5). | Low | This packet consumes slot `002` of `000-release-cleanup`; both prior siblings are immutable. |\\n<!-- /ANCHOR:risks -->\\n\\n---\\n\\n### Acceptance Scenarios\\n\\n**Given** a new contributor reads SKILL.md once, **when** they encounter the phrase that previously said \\\"recent memories rank higher\\\", **then** they correctly predict the system ranks recent indexed spec-doc records (or the equivalent concrete noun) higher.\\n\\n**Given** an AI agent lists available MCP tools, **when** it reads `memory_search`'s `description:` string, **then** the description names the corpus searched (indexed spec docs + constitutional rules) rather than \\\"conversation memories\\\".\\n\\n**Given** an operator runs `memory_context()`, **when** the tool returns successfully, **then** the response message names the actual packets / docs that were loaded (e.g., \\\"Loaded 3 spec-doc records from packets `026-...` and `023-...`\\\") rather than \\\"Loaded 3 memories\\\".\\n\\n**Given** a reader who knows Anthropic's Claude Memory tool reads `system-spec-kit/README.md`, **when** they reach §1 OVERVIEW, **then** a one-paragraph callout disambiguates Spec Kit Memory from both Anthropic's tool and the MCP reference `memory` server.\\n\\n**Given** a phrasing-edit PR touches `AGENTS.md`, **when** the PR is reviewed, **then** matching commits exist in `AGENTS_Barter.md` (in the Barter repo) and `AGENTS_example_fs_enterprises.md`.\\n\\n**Given** a phrasing-edit PR touches `mcp_server/handlers/memory-context.ts` formatter messages, **when** `npm run test` runs, **then** updated snapshot fixtures pass.\\n\\n**Given** the entire phrasing-audit pass is complete, **when** `git log --oneline` is reviewed, **then** zero commits rename any `memory_*` tool, `/memory:*` command, `_memory:` frontmatter key, `memory_*` SQL table, `memory-*.ts` handler, or `memory/` folder.\\n\\n---\\n\\n<!-- ANCHOR:questions -->\\n## 7. OPEN QUESTIONS\\n\\n- **Q1**: PR sequencing — do we ship as one big phrasing-audit PR, or split into three (one per surface class: A markdown prose / B1 tool descriptions / B2 runtime outputs)? Splitting trades reviewability for atomicity. Recommend three PRs.\\n- **Q2**: Should slash-command body text (the `.md` files at `.opencode/commands/memory/*.md`) be re-phrased even though the command names stay `/memory:*`? Recommend yes — body text is `(A) markdown prose` per the scope; the *name* in the YAML frontmatter `name:` field stays.\\n- **Q3**: For `feature_catalog/feature_catalog.md:905, 2663, 3362, 4208` — do we re-phrase in place, or is this catalog auto-generated from another source? Need to verify before edits.\\n- **Q4**: Runtime output strings (B2) — are any of these already in user-facing telemetry / logging that downstream tools parse? If so, we may need to keep the exact string format and only enrich the human-readable parts. Need a one-pass audit of formatter call sites before editing.\\n\\nThese are implementation-phase questions, not research questions. The phrasing decisions themselves are settled in `phrasing-audit.md`.\\n<!-- /ANCHOR:questions -->\\n\\n---\\n\\n## 8. RELATED DOCUMENTS\\n\\n- **`phrasing-audit.md`** (sibling of this spec) — the concrete current→proposed phrase grid; the implementation phase's working diff target.\\n- **Archived prior research** (`research_archive/rename-pivot-2026-04-26-pt-01/`) — 10 iterations of `/spec_kit:deep-research` scoped for a code+command+key rename; substrate (6-layer concept model, 21-tool inventory, Anthropic + MCP-registry collision analysis) is still useful but the recommendations (rename, alias matrix, parser-fallback, glossary-lint, 4-PR plan) are out-of-scope per the user's pivot. Kept for reference only.\\n- **Predecessor**: `../001-release-cleanup-playbooks/spec.md` (closed Phase 5).\\n- **Companion artifacts** (deferred): plan.md / tasks.md / checklist.md / implementation-summary.md created post-review of phrasing-audit.md.\\n\",\n        \"confidence\": {\n          \"label\": \"medium\",\n          \"value\": 0.413,\n          \"drivers\": []\n        },\n        \"why\": {\n          \"summary\": \"Ranked first because semantic similarity\",\n          \"topSignals\": [\n            \"semantic_match\"\n          ]\n        }\n      }\n    ],\n    \"evidenceDigest\": \"5 results retrieved; avg score 0.73.\",\n    \"followUps\": []\n  },\n  \"hints\": [\n    \"Some files could not be read - check file paths\",\n    \"[code-graph] Symbols near mentioned files: class:applied, interface:ToolDefinition, module:tool-schemas\",\n    \"Auto-surface hook: injected 2 constitutional and 5 triggered memories (573ms)\",\n    \"Token budget enforced: truncated 5 → 1 results to fit 3500 token budget\"\n  ],\n  \"meta\": {\n    \"tool\": \"memory_quick_search\",\n    \"tokenCount\": 8082,\n    \"latencyMs\": 600,\n    \"cacheHit\": false,\n    \"responseProfile\": \"research\",\n    \"autoSurface\": {\n      \"constitutionalCount\": 2,\n      \"triggeredCount\": 5,\n      \"surfaced_at\": \"2026-04-26T18:12:28.897Z\",\n      \"latencyMs\": 573\n    },\n    \"autoSurfacedContext\": {\n      \"constitutional\": [\n        {\n          \"id\": 2574,\n          \"specFolder\": \"system-spec-kit\",\n          \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/constitutional/gate-tool-routing.md\",\n          \"title\": \"TOOL ROUTING - Search & Retrieval Decision Tree\",\n          \"importanceTier\": \"constitutional\",\n          \"retrieval_directive\": \"Always surface when: TOOL ROUTING - Search & Retrieval Decision Tree | Prioritize when: task context aligns with \\\"TOOL ROUTING - Search & Retrieval Decision Tree\\\"\"\n        },\n        {\n          \"id\": 415,\n          \"specFolder\": \"system-spec-kit\",\n          \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/constitutional/gate-enforcement.md\",\n          \"title\": \"GATE ENFORCEMENT - Edge Cases & Cross-Reference\",\n          \"importanceTier\": \"constitutional\",\n          \"retrieval_directive\": \"Always surface when: GATE ENFORCEMENT - Edge Cases & Cross-Reference | Prioritize when: task context aligns with \\\"GATE ENFORCEMENT - Edge Cases & Cross-Reference\\\"\"\n        }\n      ],\n      \"triggered\": [\n        {\n          \"memory_id\": 586,\n          \"spec_folder\": \"system-spec-kit/022-hybrid-rag-fusion/016-rewrite-memory-mcp-readme\",\n          \"title\": \"Plan: Rewrite Memory MCP README [system-spec-kit/022-hybrid-rag-fusion/016-rewrite-memory-mcp-readme/plan]\",\n          \"matched_phrases\": [\n            \"memory\"\n          ]\n        },\n        {\n          \"memory_id\": 2308,\n          \"spec_folder\": \"system-spec-kit/026-graph-and-context-optimization/003-continuity-memory-runtime/003-continuity-refactor-gates\",\n          \"title\": \"...on/002-continuity-memory-runtime/003-continuity-refactor-gates/research/006-continuity-refactor-gates-pt-01/research]\",\n          \"matched_phrases\": [\n            \"memory\"\n          ]\n        },\n        {\n          \"memory_id\": 2300,\n          \"spec_folder\": \"system-spec-kit/026-graph-and-context-optimization/003-continuity-memory-runtime/002-memory-quality-remediation\",\n          \"title\": \".../003-continuity-memory-runtime/002-memory-quality-remediation/research/003-memory-quality-remediation-pt-01/research]\",\n          \"matched_phrases\": [\n            \"memory\"\n          ]\n        },\n        {\n          \"memory_id\": 2004,\n          \"spec_folder\": \"system-spec-kit/023-hybrid-rag-fusion-refinement\",\n          \"title\": \"Deep Research: Spec Kit Memory Feature Audit & Quality [system-spec-kit/023-hybrid-rag-fusion-refinement/research]\",\n          \"matched_phrases\": [\n            \"memory\"\n          ]\n        },\n        {\n          \"memory_id\": 1987,\n          \"spec_folder\": \"system-spec-kit/023-hybrid-rag-fusion-refinement/012-memory-save-quality-pipeline\",\n          \"title\": \"Research: Memory Save [system-spec-kit/023-hybrid-rag-fusion-refinement/012-memory-save-quality-pipeline/research]\",\n          \"matched_phrases\": [\n            \"memory\"\n          ]\n        }\n      ],\n      \"surfaced_at\": \"2026-04-26T18:12:28.897Z\",\n      \"latencyMs\": 573\n    },\n    \"tokenBudget\": 3500,\n    \"tokenBudgetTruncated\": true,\n    \"originalResultCount\": 5,\n    \"returnedResultCount\": 1\n  }\n}","metadata":{"truncated":false},"title":"","time":{"start":1777227148319,"end":1777227149550},"attachments":[]}}}
{"type":"tool_use","timestamp":1777227150143,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe2d82001YRNt20oVmUdb1P","messageID":"msg_dcafde641001JgfpU3Orq7Qk3x","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","type":"tool","tool":"cocoindex_code_search","callID":"call_01_R1Fi5lpy5YuZy3Kv3VeBuVVP","state":{"status":"completed","input":{"query":"memory management, storage, caching","limit":10},"output":"{\n  \"success\": true,\n  \"results\": [\n    {\n      \"file_path\": \".codex/specs/system-spec-kit/022-hybrid-rag-fusion/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 8,\n      \"end_line\": 16,\n      \"score\": 0.6195492934797482\n    },\n    {\n      \"file_path\": \".opencode/skills/system-spec-kit/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 8,\n      \"end_line\": 16,\n      \"score\": 0.6195492934797482\n    },\n    {\n      \"file_path\": \".gemini/specs/02--system-spec-kit/022-hybrid-rag-fusion/system-spec-kit/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    },\n    {\n      \"file_path\": \".gemini/specs/02--system-spec-kit/022-hybrid-rag-fusion/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    },\n    {\n      \"file_path\": \".gemini/skills/system-spec-kit/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    },\n    {\n      \"file_path\": \"specs/02--system-spec-kit/022-hybrid-rag-fusion/system-spec-kit/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    },\n    {\n      \"file_path\": \"specs/02--system-spec-kit/022-hybrid-rag-fusion/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    },\n    {\n      \"file_path\": \".agents/specs/02--system-spec-kit/022-hybrid-rag-fusion/system-spec-kit/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    },\n    {\n      \"file_path\": \".agents/specs/02--system-spec-kit/022-hybrid-rag-fusion/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    },\n    {\n      \"file_path\": \".agents/skills/system-spec-kit/feature_catalog/02--mutation/01-memory-indexing-memorysave.md\",\n      \"language\": \"markdown\",\n      \"content\": \"---\\ntitle: \\\"Memory indexing (memory_save)\\\"\\ndescription: \\\"Covers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\\"\\n---\\n\\n# Memory indexing (memory_save)\\n\\n## 1. OVERVIEW\\n\\nCovers the save entry point that reads files, generates embeddings, applies quality gating and indexes content into the memory database.\\n\\nThis is how you add new knowledge to the system. You point it at a file and it reads, understands and stores the content so it becomes searchable. Before storing, it checks whether the same information already exists and decides whether to add it fresh, update an older version or skip it entirely. Quality checks catch low-value content before it clutters up the knowledge base.\\n\\n---\",\n      \"start_line\": 1,\n      \"end_line\": 14,\n      \"score\": 0.5901809149892454\n    }\n  ],\n  \"total_returned\": 10,\n  \"offset\": 0,\n  \"message\": null\n}","metadata":{"truncated":false},"title":"","time":{"start":1777227149687,"end":1777227150142},"attachments":[]}}}
{"type":"tool_use","timestamp":1777227150199,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe333d001006EKAjCVc50aA","messageID":"msg_dcafde641001JgfpU3Orq7Qk3x","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","type":"tool","tool":"spec_kit_memory_memory_stats","callID":"call_02_QdYP1evNGK5LIKoY6ydXGBGM","state":{"status":"completed","input":{},"output":"{\n  \"summary\": \"Memory system: 2581 memories across 445 folders\",\n  \"data\": {\n    \"totalMemories\": 2581,\n    \"byStatus\": {\n      \"pending\": 0,\n      \"success\": 2497,\n      \"failed\": 0,\n      \"retry\": 0,\n      \"partial\": 0\n    },\n    \"oldestMemory\": \"2026-04-25T10:29:28.414Z\",\n    \"newestMemory\": \"2026-04-26T15:55:40.057Z\",\n    \"topFolders\": [\n      {\n        \"folder\": \"skilled-agent-orchestration/048-cli-testing-playbooks\",\n        \"count\": 29\n      },\n      {\n        \"folder\": \"system-spec-kit/026-graph-and-context-optimization/006-skill-advisor/005-advisor-setup-command\",\n        \"count\": 18\n      },\n      {\n        \"folder\": \"system-spec-kit/026-graph-and-context-optimization\",\n        \"count\": 14\n      },\n      {\n        \"folder\": \"system-spec-kit/026-graph-and-context-optimization/006-skill-advisor/002-skill-graph-daemon-native-advisor-tools\",\n        \"count\": 12\n      },\n      {\n        \"folder\": \"system-spec-kit/026-graph-and-context-optimization/006-skill-advisor\",\n        \"count\": 10\n      },\n      {\n        \"folder\": \"system-spec-kit/026-graph-and-context-optimization/006-skill-advisor/004-advisor-hook-surface-integration\",\n        \"count\": 10\n      },\n      {\n        \"folder\": \"system-spec-kit/026-graph-and-context-optimization/006-skill-advisor/001-advisor-hook-brief-improvements\",\n        \"count\": 10\n      },\n      {\n        \"folder\": \"system-spec-kit/022-hybrid-rag-fusion/001-hybrid-rag-fusion-epic\",\n        \"count\": 9\n      },\n      {\n        \"folder\": \"system-spec-kit/022-hybrid-rag-fusion/002-indexing-normalization\",\n        \"count\": 9\n      },\n      {\n        \"folder\": \"system-spec-kit/026-graph-and-context-optimization/002-continuity-memory-runtime/003-continuity-refactor-gates\",\n        \"count\": 9\n      }\n    ],\n    \"totalSpecFolders\": 445,\n    \"limit\": 10,\n    \"totalTriggerPhrases\": 13397,\n    \"vectorSearchEnabled\": true,\n    \"graphChannelMetrics\": {\n      \"totalQueries\": 1,\n      \"graphHits\": 0,\n      \"graphOnlyResults\": 0,\n      \"multiSourceResults\": 37,\n      \"graphHitRate\": 0\n    },\n    \"folderRanking\": \"count\",\n    \"tierBreakdown\": {\n      \"constitutional\": 2,\n      \"critical\": 99,\n      \"deprecated\": 896,\n      \"important\": 718,\n      \"normal\": 866\n    },\n    \"databaseSizeBytes\": 117022720,\n    \"lastIndexedAt\": \"2026-04-26T15:55:40.057Z\"\n  },\n  \"hints\": [],\n  \"meta\": {\n    \"tool\": \"memory_stats\",\n    \"tokenCount\": 616,\n    \"latencyMs\": 3,\n    \"cacheHit\": false,\n    \"tokenBudget\": 1000\n  }\n}","metadata":{"truncated":false},"title":"","time":{"start":1777227150192,"end":1777227150198},"attachments":[]}}}
{"type":"step_finish","timestamp":1777227150767,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe34d7001WQJuPEGtEutELf","reason":"tool-calls","snapshot":"db21b4a4f9cc36acabaa96941c3d121058a655d9","messageID":"msg_dcafde641001JgfpU3Orq7Qk3x","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","type":"step-finish","tokens":{"total":40075,"input":27896,"output":142,"reasoning":261,"cache":{"write":0,"read":11776}},"cost":0.050112232}}
{"type":"step_start","timestamp":1777227155459,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe47fe001ezFBeebEagfu0q","messageID":"msg_dcafe366b0015RvVvZU0j7tDyR","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","snapshot":"9e03ca703196fd286a341910b4218746d7fd4db9","type":"step-start"}}
{"type":"text","timestamp":1777227171062,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe6e080019j1wPAhFX1FzKz","messageID":"msg_dcafe366b0015RvVvZU0j7tDyR","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","type":"text","text":"Here's what I found about memory in this codebase:\n\n**Spec Kit Memory** is the indexed-continuity store — **2,581 spec-doc records** across **445 folders**, ~117MB database, with vector search, hybrid retrieval, and trigger-phrase matching. It powers tools like `memory_search`, `memory_save`, `memory_context`, etc.\n\n**Active work**: A **phrasing audit** (`specs/.../001-memory-terminology`) is in progress to replace abstract \"memory/memories\" prose with concrete behavioral language across ~60-90 files, without renaming any tool/command/table/key.\n\n**Key memory-related spec folders**:\n- `022-hybrid-rag-fusion` — Memory indexing (`memory_save`), hybrid RAG\n- `023-hybrid-rag-fusion-refinement` — Feature audit & quality\n- `026-graph-and-context-optimization` — Continuity runtime, quality remediation, refactor gates\n\nWhat specifically about memory are you looking for?","time":{"start":1777227171059,"end":1777227171059}}}
{"type":"step_finish","timestamp":1777227171295,"sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","part":{"id":"prt_dcafe84f70018fo4mmrbon4mhO","reason":"stop","snapshot":"8bd9e974bda30f5fcd826cee9f944810d9db0937","messageID":"msg_dcafe366b0015RvVvZU0j7tDyR","sessionID":"ses_235021ba9ffe3V9oQLsB5pbqPF","type":"step-finish","tokens":{"total":52690,"input":19476,"output":219,"reasoning":355,"cache":{"write":0,"read":32640}},"cost":0.03635904}}
