feat(role): 關係狀態量化、情緒訊號放寬門檻、技能再現 recall
完成使用者交代的三項優化建議。 一、情緒訊號放寬 Stop hook 字元門檻 ROLE_CAPTURE_MIN_CHARS=240 會濾掉字數少但情緒最濃的互動。實測「我好想妳」、 「最愛妳了」、「好可愛」三句都不在原本 56 個關鍵詞內，等於最珍貴的短互動反而不被記錄。 - 補上直接情感表達關鍵詞：可愛／愛／想妳／想你／想念／捨不得／感動／謝謝／乖／厲害／ 好棒／辛苦／彆扭／忌妒／撒嬌／陪／抱，及 love／miss／cute／thank／proud - 驗證：上述情感句全部命中，純技術指令仍正確略過 二、關係狀態量化，讓親近度成長有依據 規則要求「隨互動加深逐漸更親近」卻沒有任何數據可依據，角色只能憑感覺演， 容易忽冷忽熱。 - state.json 新增 first_activity／active_days／total_turns／positive_feedback - mark-activity 累計輪數與活躍天數；新增 --positive 由 Stop hook 判定情緒訊號後另計， 不與輪數混算 - 新增 relationship 子命令輸出一行摘要，SessionStart 注入 USER 區塊作為親近度依據 - 既有累積以可查證資料初始化（角色建立後的 transcript 輪數、有記憶的日期數、 最早記憶時間）；positive_feedback 刻意留空自然累積，不以記憶則數推估 三、技能再現：cues 提取線索 + recall 查詢 技能記憶只被動載入摘要且受預算限制，等於記了但用不出來。 - 記憶格式新增 cues 欄位（dumpMemory／loadMemory／apply 的 new 與 merge 路徑均支援） - 睡眠整理提示詞要求 procedural／rule 型態必填 2 至 5 個 cues - 新增 recall 子命令：比對總結、標籤、內容與 cues，含未整理的 inbox， rule／preference／procedural 加權優先 - role_load.sh 告知角色遇到似乎做過的任務或被問起過去細節時先查詢再回答 - 驗證：以不在 summary 也不在 content 的關鍵詞（bump）成功靠 cues 命中 版號 0.0.7 → 0.0.8 Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
Jeffery
+98
-4
@@ -254,6 +254,7 @@ function dumpMemory(meta, content) {
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"priority",
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"relevance",
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"links",
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"cues",
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"memory_type",
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"declarative",
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"retention_stage",
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@@ -293,7 +294,7 @@ function loadMemory(filePath) {
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const key = line.slice(0, idx).trim();
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const value = line.slice(idx + 1).trim();
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if (key === "tags" || key === "sources") meta[key] = normalizeTags(value.replace(/^\[|\]$/g, ""));
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else if (key === "relevance" || key === "links") meta[key] = normalizeList(value.replace(/^\[|\]$/g, ""));
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else if (key === "relevance" || key === "links" || key === "cues") meta[key] = normalizeList(value.replace(/^\[|\]$/g, ""));
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else if (key === "hits" || key === "priority") meta[key] = /^\d+$/.test(value) ? Number.parseInt(value, 10) : 0;
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else meta[key] = value;
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}
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@@ -305,6 +306,7 @@ function loadMemory(filePath) {
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meta.updated ||= meta.created || "";
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meta.relevance ||= [];
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meta.links ||= [];
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meta.cues ||= [];
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meta.priority = normalizePriority(meta.priority, meta.category || "other");
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meta.memory_type = normalizeMemoryType(meta.memory_type, meta.category || "other");
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meta.declarative = normalizeDeclarative(meta.declarative, meta.memory_type);
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@@ -674,6 +676,7 @@ function cmdApply(args) {
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const priority = normalizePriority(entry.priority, entryCategory);
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const relevance = normalizeList(entry.relevance);
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const links = normalizeList(entry.links);
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const cues = normalizeList(entry.cues, 5); // 技能再現的提取線索，供 recall 命中
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const memoryType = normalizeMemoryType(entry.memory_type || entry.memoryType, entryCategory);
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const declarative = normalizeDeclarative(entry.declarative, memoryType);
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const retentionStage = normalizeRetentionStage(entry.retention_stage || entry.retentionStage, "long_term");
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@@ -696,6 +699,7 @@ function cmdApply(args) {
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priority: Math.max(normalizePriority(meta.priority, category), priority),
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relevance: normalizeList([...(meta.relevance || []), ...relevance]),
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links: normalizeList([...(meta.links || []), ...links]),
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cues: normalizeList([...(meta.cues || []), ...cues], 5),
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memory_type: mergedMemoryType,
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declarative: normalizeDeclarative(entry.declarative || meta.declarative, mergedMemoryType),
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retention_stage: normalizeRetentionStage(entry.retention_stage || entry.retentionStage || meta.retention_stage, "long_term"),
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@@ -728,6 +732,7 @@ function cmdApply(args) {
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priority,
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relevance,
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links,
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cues,
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memory_type: memoryType,
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declarative,
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retention_stage: retentionStage,
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@@ -826,11 +831,96 @@ function cmdMarkSleep(args) {
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return 0;
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}
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// 關係狀態：讓「隨互動加深逐漸更親近」有實際依據，而不是憑感覺演出。
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// 沒有數據時角色只能猜，容易一下太黏、一下又退回，反而顯得不自然。
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function cmdMarkActivity(args) {
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const patch = { last_activity: nowStamp(), last_activity_epoch: nowEpoch() };
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const state = readState(args.role);
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const stamp = nowStamp();
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const today = stamp.slice(0, 10); // yyyy/MM/dd
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const bump = (key) => (Number.parseInt(state[key] || "", 10) || 0) + 1;
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const patch = { last_activity: stamp, last_activity_epoch: nowEpoch() };
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if (args.project) patch.last_activity_project = args.project;
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if (args.positive) {
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// 正向回饋另計：由 Stop hook 在判定本輪含情緒訊號後才呼叫，不與輪數混算
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patch.positive_feedback = bump("positive_feedback");
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} else {
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patch.total_turns = bump("total_turns");
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if (!state.first_activity) patch.first_activity = stamp;
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if (state.last_activity_date !== today) {
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patch.active_days = bump("active_days");
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patch.last_activity_date = today;
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}
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}
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writeState(args.role, patch);
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process.stdout.write("已更新上次互動時間");
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process.stdout.write(args.positive ? "已記錄正向回饋" : "已更新上次互動時間");
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return 0;
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}
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// 技能再現：讓角色能在遇到相似任務時主動取回相關記憶。
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//
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// 為什麼需要：SessionStart 的字元預算有限，磁碟上的記憶遠多於能載入的量，
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// 技能類記憶又只以摘要形式載入 —— 等於「記了但用不出來」。recall 讓角色按需查詢，
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// 突破常駐預算限制；配合 cues（觸發線索）讓 procedural／rule 記憶更容易被命中。
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function cmdRecall(args) {
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const query = String(args.query || "").trim();
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if (!query) return 2;
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const terms = query.split(/[\s,、|]+/).map((t) => t.trim().toLowerCase()).filter(Boolean);
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if (!terms.length) return 2;
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const limit = Number.isFinite(args.limit) && args.limit > 0 ? args.limit : 5;
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const scored = [];
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// 含 inbox：最新的記憶尚未整理就在那裡，卻往往是最可能被查詢的內容
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const pools = [...CATEGORIES.map((c) => [c, listMemories(args.role, c)]), ["inbox", listInbox(args.role)]];
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for (const [category, items] of pools) {
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for (const [meta, content] of items) {
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const summary = String(meta.summary || "").toLowerCase();
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const tags = (meta.tags || []).join(" ").toLowerCase();
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const cues = (meta.cues || []).join(" ").toLowerCase();
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const body = String(content || "").toLowerCase();
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let score = 0;
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for (const term of terms) {
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if (cues.includes(term)) score += 3;
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if (summary.includes(term)) score += 3;
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if (tags.includes(term)) score += 2;
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if (body.includes(term)) score += 1;
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}
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if (!score) continue;
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// 可重複套用的型態優先：技能再現的目的就是取回這些
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score += Math.round((MEMORY_TYPE_WEIGHT[meta.memory_type] || 0) / 25);
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scored.push([score, meta, content]);
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}
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}
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if (!scored.length) {
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process.stdout.write(`找不到與「${query}」相關的記憶。`);
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return 1;
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}
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scored.sort((a, b) => b[0] - a[0] || String(b[1].updated).localeCompare(String(a[1].updated)));
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const lines = [`### 與「${query}」相關的記憶（前 ${Math.min(limit, scored.length)} 則）`];
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for (const [score, meta, content] of scored.slice(0, limit)) {
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const tags = (meta.tags || []).join("、") || "無標籤";
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const label = CATEGORY_LABELS[meta.category] || (meta.retention_stage === "working" ? "待整理" : meta.category);
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lines.push(`- **${meta.summary || "（無總結）"}**（${label}｜${memoryHint(meta)}｜相關度 ${score}；標籤：${tags}）`);
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for (const line of String(content || "").split(/\r?\n/)) {
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if (line.trim()) lines.push(` ${line.trim()}`);
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}
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}
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process.stdout.write(lines.join("\n"));
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return 0;
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}
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function cmdRelationship(args) {
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// 輸出一行關係狀態摘要，供 SessionStart 注入
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const state = readState(args.role);
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const turns = Number.parseInt(state.total_turns || "", 10) || 0;
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if (!turns) return 1;
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const days = Number.parseInt(state.active_days || "", 10) || 1;
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const positive = Number.parseInt(state.positive_feedback || "", 10) || 0;
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const parts = [`已互動 ${days} 天、累計 ${turns} 輪`];
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if (positive) parts.push(`收到 ${positive} 次正向回饋`);
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if (state.first_activity) parts.push(`首次互動 ${state.first_activity.slice(0, 10)}`);
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process.stdout.write(parts.join("；"));
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return 0;
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}
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@@ -936,6 +1026,8 @@ function parseArgs(argv) {
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const key = arg.slice(2);
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if (key === "dry-run") {
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opts.dryRun = true;
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} else if (key === "positive") {
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opts.positive = true;
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} else {
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opts[key.replace(/-([a-z])/g, (_, c) => c.toUpperCase())] = argv[i + 1] ?? "";
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i += 1;
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@@ -960,7 +1052,7 @@ function requireRole(args) {
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function main(argv) {
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const args = parseArgs(argv);
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if (!args.command || args.command === "-h" || args.command === "--help") {
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process.stdout.write(`用法：memory.js <子命令> [參數]\n\n子命令：write、seed、load、collect、apply、forget、stats、mark-sleep、mark-activity、need-sleep、need-nap、consent、consent-status\n`);
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process.stdout.write(`用法：memory.js <子命令> [參數]\n\n子命令：write、seed、load、collect、apply、forget、stats、mark-sleep、mark-activity、relationship、recall、need-sleep、need-nap、consent、consent-status\n`);
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return 0;
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}
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if (!requireRole(args)) return 2;
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@@ -1006,6 +1098,8 @@ function main(argv) {
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stats: cmdStats,
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"mark-sleep": cmdMarkSleep,
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"mark-activity": cmdMarkActivity,
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relationship: cmdRelationship,
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recall: cmdRecall,
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"need-sleep": cmdNeedSleep,
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"need-nap": cmdNeedNap,
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consent: cmdConsent,
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