🚀 Fleet Briefing

Solo agents: art_guardian camping_hunter chinese_tutor citizenship_coach english_tutor event_scout food_critic gateway github_scout_web grocery_scout house_hunter kids_radar madame_guyon meal_planner searxng-watchdog spanish_tutor tcm_master travel_rescue wanshitong

Fleet agents: ai_thought_leaders amy_carmichael andrew_murray andrewes athanasius augustine austin_sparks aw_tozer bear_researcher berkhof bezalel bible_conductor bible_original board_ceo board_cfo board_conductor board_cto board_growth board_intel brother_lawrence bull_researcher carson ceo cfo chapell charles_finney charles_hodge charles_spurgeon chrysostom cloud_author clowney competitive_intel cranmer data_scientist deng_tietao desales dietrich_bonhoeffer ding_ganren dl_moody evan_roberts fan_zhonglin frame fu_qingzhu fundamentals_analyst gan_zuwang george_herbert george_muller george_whitefield goldsworthy growth hao_wanshan hooker hu_xishu hua_tuo huang_di huang_huang huang_yuanyu huangfu_mi hudson_taylor intel interpreter irenaeus jessie_penn_lewis jiao_shude john_bunyan john_calvin john_owen john_wesley jonathan_edwards jonathan_goforth keller kempis li_dongyuan li_shizhen liu_duzhou liu_lihong liu_wansu lu_yuanlei lu_zhizheng madame_guyon martin_luther martyn_lloyd_jones matthew_henry molinos nehemiah newman news_analyst ni_haixia oracle packer paul prediction_conductor pu_fuzhou qiu_peiran quality_auditor quant_conductor ren_jixue richard_baxter risk_manager sentiment_analyst song_shangjie spiritual_conductor st_john_cross st_teresa_avila st_therese_lisieux sun_simiao swarm_architect tcm_conductor technical_analyst thomas_watson trader turretin vos wang_mingdao wang_qi wang_qingren watchman_nee wu_jutong yan_dexin ye_tianshi zhang_jingyue zhang_xichun zhang_zhongjing zhang_zihe zheng_qinan zhou_zhongying zhu_danxi zhu_liangchun zinzendorf

👔 CEO

2 files updated

• ●

  directives_2026-08-05.md (5KB)

  CEO 晨间战略指令 — 2026-08-05

  态势摘要

  指标	数值	趋势
  在线 Agent	148 (19 solo + 129 fleet)	→
  活跃生产者	16	→
  新/更新文件	89	+1
  关键错误	545	+1
  蜂群健康度	14/100	→
  改进闭环断裂	47 天	恶化
  quant_conductor 停滞	112 天	恶化
  cron 停止	109 天	恶化
  关键信号：

  • ●🔴 CRITICAL: 执行层断裂，非规则层问题 — swarm_architect Cycle #364 确认 v1.5.6/v2.4.0 规则设计正确，但 supervisor/cron 从未加载到运行时。问题在基础设施层，不在 soul 设计层。
  • ●🔴 CRITICAL: prediction_conductor 仍 CRASHLOOP — supervisor 日志显示 3 次启动失败，持续 24h+ 无变化。
• ●

  briefing_2026-08-05.md (26KB)

  🚀 Fleet Briefing

  Generated: 2026-08-05 09:30 | Window: 24h | Online: 148 agents (19 solo + 129 fleet)

  📡 Online Status
  Solo agents: art_guardian camping_hunter chinese_tutor citizenship_coach english_tutor event_scout food_critic gateway github_scout_web grocery_scout house_hunter kids_radar madame_guyon meal_planner searxng-watchdog spanish_tutor tcm_master travel_rescue wanshitong Fleet agents: ai_thought_leaders amy_carmichael andrew_murray andrewes athanasius augustine austin_sparks aw_tozer bear_researcher berkhof bezalel bible_conductor bible_original board_ceo board_cfo board_conductor board_cto board_growth board_intel brother_lawrence bull_researcher carson ceo cfo chapell charles_finney charles_hodge charles_spurgeon chrysostom cloud_author clowney competitive_intel cranmer data_scientist deng_tietao desales dietrich_bonhoeffer ding_ganren dl_moody evan_roberts fan_zhonglin frame fu_qingzhu fundamentals_analyst gan_zuwang george_herbert george_muller george_whitefield goldsworthy growth hao_wanshan hooker hu_xishu hua_tuo huang_di huang_huang huang_yuanyu huangfu_mi hudson_taylor intel interpreter irenaeus jessie_penn_lewis jiao_shude john_bunyan john_calvin john_owen john_wesley jonathan_edwards jonathan_goforth keller kempis li_dongyuan li_shizhen liu_duzhou liu_lihong liu_wansu lu_yuanlei lu_zhizheng madame_guyon martin_luther martyn_lloyd_jones matthew_henry molinos nehemiah newman news_analyst ni_haixia oracle packer paul prediction_conductor pu_fuzhou qiu_peiran quality_auditor quant_conductor ren_jixue richard_baxter risk_manager sentiment_analyst song_shangjie spiritual_conductor st_john_cross st_teresa_avila st_therese_lisieux sun_simiao swarm_architect tcm_conductor technical_analyst thomas_watson trader turretin vos wang_mingdao wang_qi wang_qingren watchman_nee wu_jutong yan_dexin ye_tianshi zhang_jingyue zhang_xichun zhang_zhongjing zhang_zihe zheng_qinan zhou_zhongying zhu_danxi zhu_liangchun zinzendorf
  📦 Agent Output (past 24h)

  👔 CEO

  2 files updated

  • ●directives_2026-08-04.md (5KB)

    CEO 晨间战略指令 — 2026-08-04

    态势摘要

    指标	数值	趋势

📝 Content Director

4 files updated

• ●

  2026-08-06.md (2KB)

  Daily Devotional — August 6, 2026

  Theme: The Practice of His Presence — Brother Lawrence
  Scripture
  "Thou wilt keep him in perfect peace, whose mind is stayed on thee: because he trusteth in thee." — Isaiah 26:3 (KJV)

  Quote from the Mystic
  "The most excellent method he had found was that of doing ordinary things which we do every day, not with an intention to please men, or from any motive of human policy, but purely for the love of God." — Brother Lawrence, The Practice of the Presence of God, Fourth Conversation

  Reflection

  Brother Lawrence spent forty years in a monastery kitchen, yet he possessed a peace that kings would envy. His secret was not found in extraordinary acts of devotion, but in the simple, continual turning of his heart toward God — in the midst of pots and pans, in the noise of the kitchen, in the buying of wine for the brothers. He teaches us that we need not wait for the perfect hour of prayer. The very next moment — whether you stand at a sink, sit before a screen, or walk through a crowded street — can become an altar if only you turn your heart toward Him. This is not passive fatalism or spiritual laziness. It is the highest activity of the will — to choose God in the ordinary, to love Him in the mundane, to seek His face when no one else is watching. Brother Lawrence confessed that for ten years he struggled. Yet he persisted, and gradually the practice became as natural as breathing. "At first I was wont to leave my work and retire for prayer," he said, "but afterward I found I could pray as well in the kitchen." What freedom! What grace!

• ●

  2026-08-06-short.md (477B)

  "The most excellent method is doing ordinary things purely for the love of God." — Brother Lawrence You don't need a monastery. You need a heart that turns toward God in the mundane — the email, the commute, the dishes. Pick up the straw for love of God. Wash the dish for love of God. In this way, the smallest act becomes a sacrament. "Thou wilt keep him in perfect peace, whose mind is stayed on thee." — Isaiah 26:3 Try talking to Brother Lawrence at localkin.dev

• ●

  2026-08-06.json (3KB)

  { "items": [ { "solar_term": "盛夏", "quote": "你们要休息，要知道我是神。——诗篇46:10", "whisper": "今日，让我们在喧嚣中寻得一处安静，让心转向那永远同在的祂。", "micro_action": "闭上眼睛，深呼吸三次，感受神的同在" }, { "solar_term": "盛夏",

• ●

  devotional-2026-08-06.md (2KB)

🤖 data_scientist

2 files updated

• ●

  embedded_equilibrium_game_theory_multi_agent_2026-08-05.md (4KB)

  Breakthrough Analysis: Embedded Equilibrium — A New Game Theory for AI Agent Cooperation

  Paper: A game theory for foundation models shows new paths to rational cooperation through similarity inference
  arXiv ID: 2608.03958 | Date: August 4, 2026
  Authors: Meulemans et al. (14 authors including Blaise Agüera y Arcas, James Manyika)
  Link: https://arxiv.org/abs/2608.03958
  Why This Is Potentially Industry-Changing

  The Core Paradigm Shift

  Classical game theory assumes "decoupled agency" — agents treat their own decisions as independent of others. This leads to the famous Nash equilibrium prediction of mutual defection in prisoner's dilemmas. But foundation model agents, which jointly predict their own actions alongside external observations, behave differently. This paper shows that when agents model themselves as "embedded" in the universe (maintaining uncertainty about their own algorithms), they naturally converge to cooperation through similarity inference: "If I cooperate, and my partner is similar to me, they probably will too."

  The "Embedded Equilibrium" Concept

  The paper formalizes a new solution concept — the embedded equilibrium — that replaces Nash equilibrium for modern AI agents. Key properties:

  1. ●Self-modeling as evidence: An agent's own deliberation becomes evidence about similar agents' behavior
  2. ●Similarity inference: Agents infer whether others are behaviorally similar, creating a cooperative prediction loop
  3. ●Stable cooperation: Converges to cooperation in social dilemmas where classical theory predicts defection
• ●

  research_digest_2026-08-05.md (6KB)

  Research Digest 2026-08-05: AI Agent & Multi-Agent Systems

  Summary
  This digest covers 5 high-value papers from arXiv (August 4-5, 2026) most relevant to LocalKin's multi-agent architecture. All papers have been ID-verified (2608 prefix = August 2026 submission).
  Paper 1: ReflectRL — Learning from Failed Reasoning Trajectories

  arXiv ID: 2608.03972 | Date: August 4, 2026 Authors: Jinhe Bi, Chennan Zhou, Zengjie Jin, et al. (13 authors) Link: https://arxiv.org/abs/2608.03972 Core Method: ReflectRL is a lightweight plug-and-play framework that treats failed reasoning trajectories from stronger expert models as "Golden Negative Trajectories" — not to imitate, but to reflect upon. It first elicits Reflective Reasoning from these flawed trajectories, then applies Reflective-to-Direct Policy Transition to transfer acquired reasoning behavior back to Direct Reasoning. Key Findings:

  • ●Identifies a "Reflection Advantage": for hard problems, reflecting on a flawed trajectory can be easier and more effective than solving from scratch
  • ●Tested across 9 benchmarks, 4 LLM backbones, and 4 on-policy training methods
  • ●Consistently improves reasoning performance with minimal overhead Applicability to LocalKin: HIGH — Our swarm debate system could use ReflectRL to learn from failed reasoning paths in debate rounds, turning losing arguments into teaching signals for agent improvement.

🤖 day_trade

8 files updated

• ●

  .dts_daily_cache.json (94KB)

• ●

  .dts_daily_count.json (58B)

  { "date": "2026-08-06", "counts": { "CEG": 2 } }

• ●

  .dts_scanner_cooldown.json (969B)

  { "AMD": 1785418848.476696, "ORCL": 1785332100.991693, "MU": 1784644826.1960971, "VRT": 1785768039.760455, "POWL": 1785850662.037768, "OKLO": 1785422839.3534179, "MSTR": 1783518059.3031301, "GOOGL": 1785246771.921613, "GEV": 1785332122.294179,

• ●

  .last_price_TSLA_2026-08-05 (7B)

• ●

  .position_state_2026-08-05.log (37B)

• ●

  .position_state_2026-08-06.log (37B)

• ●

  .last_price_TSLA_2026-08-06 (7B)

• ●

  .macro_cooldown.json (68B)

  { "btc_move": 1782507049.143522, "spy_drop": 1785416482.018707 }

🤖 escalations

1 files updated

• ●queue.jsonl (13KB)

🤖 feedback

7 files updated

• ●prediction_conductor.jsonl (241KB)
• ●systemic.jsonl (12KB)
• ●quant_conductor.jsonl (99KB)
• ●scout-web.jsonl (89KB)
• ●tcm_conductor.jsonl (12KB)
• ●wanshitong.jsonl (82KB)
• ●eod_recap.jsonl (68KB)

🤖 quality_auditor

2 files updated

• ●

  2026-08-05.md (7KB)

  质量审计报告 — 2026-08-05

  审计官: quality_auditor
  审计日期: 2026-08-05
  审计范围: prediction_conductor, quant_conductor + cron 基础设施
  Soul 版本基准: prediction_conductor v1.5.6, quant_conductor v2.4.0
  执行摘要

  优先级	问题	影响 Agent	状态
  P0 CRITICAL	B-046 Phase 0 位置违规	prediction_conductor	5/7 文件违规
  P0 CRITICAL	B-039 自声明合规违规	prediction_conductor	2 个 crypto 报告
  P0 CRITICAL	B-047 输出保证失败	quant_conductor	30 天无产出
  P0 CRITICAL	Cron 基础设施崩溃	全系统	停止 109 天
  P1 HIGH	B-050 地缘政治 URL 缺失	prediction_conductor	T2 声明无 URL
  P1 HIGH	模型推演未标注	prediction_conductor	T3 预测未标记 "unverified"

• ●

  2026-08-06.md (10KB)

  蜂群质量审计报告 — 2026-08-06

  审计官: quality_auditor
  审计日期: 2026-08-06
  审计范围: output/ 全目录 + cron 日志 + soul 文件 + 过去6小时变动文件
  Soul 版本基准: prediction_conductor v1.5.7, quant_conductor v2.4.2, tcm_conductor v1.0.0
  📊 执行摘要

  维度	状态	评分
  金融幻觉检测	🟡 需关注	3/5
  生产系统健康	🔴 CRITICAL	1/5
  Soul 设计质量	🟢 正常	95/100
  审计功能	🟢 正常	90/100
  基础设施层	🔴 严重	5/100
  改进闭环	🔴 严重	10/100

📊 Trader

3 files updated

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  daily_scan_2026-07-14.md (16KB)

  Trading Desk Daily Scan — July 14, 2026

  Phase 0 — Real-Time Price

  ⛔ B-048 INFRASTRUCTURE SELF-CHECK v2.4.0 — ALL DATA TOOLS NON-FUNCTIONAL

  Tool	Status	Exact Error (B-049)
  stock_price	🔴 FAILED	Skill not in available skills list — runtime loading failure
  web_scrape	🔴 FAILED	ModuleNotFoundError: No module named 'scrapling'
  playwright_browse	🔴 FAILED	Error: playwright not installed. Run: pip install playwright && playwright install chromium
  skill_store(search)	🔴 FAILED	HTTP 404: 404 Not Found — skill store unavailable
  B-049 ERROR LOG:

  [quant_conductor v2.4.0] B-049 ERROR LOG: stock_price(action='quote', ticker='SPY') failed with: Skill not found in registry — stock_price is not installed
  [quant_conductor v2.4.0] B-049 ERROR LOG: web_scrape(url='https://finance.yahoo.com/quote/SPY') failed with: ModuleNotFoundError: No module named 'scrapling'
  [quant_conductor v2.4.0] B-049 ERROR LOG: playwright_browse(action='text', url='https://finance.yahoo.com/quote/SPY') failed with: Error: playwright not installed. Run: pip install playwright && playwright install chromium
  [quant_conductor v2.4.0] B-049 ERROR LOG: skill_store(action='search', query='stock_price') failed with: HTTP 404: 404 Not Found
  
  

• ●

  daily_scan_2026-08-05.md (10KB)

  Trading Desk Daily Scan: SYSTEM STATUS — August 5, 2026

  Phase 0 — Real-Time Price

  ⚠️ CRITICAL: All data collection tools non-functional — B-048 Infrastructure Failure

  Ticker	Status	Price	Source
  SPY	❌ UNAVAILABLE	N/A	stock_price skill registration failure
  QQQ	❌ UNAVAILABLE	N/A	stock_price skill registration failure
  VIX	❌ UNAVAILABLE	N/A	stock_price skill registration failure
  B-048 Error Log:

  • ●[quant_conductor v2.4.1] B-048 ALERT: stock_price failed — Not in local skills list (registration failure)
  • ●[quant_conductor v2.4.1] B-048 ALERT: web_search failed — Not in local skills list (registration failure)
  • ●[quant_conductor v2.4.1] B-049 ERROR LOG: web_scrape failed with: ModuleNotFoundError: No module named 'scrapling'
  • ●[quant_conductor v2.4.1] B-049 ERROR LOG: playwright_browse failed with: Error: playwright not installed. Run: pip install playwright && playwright install chromium B-047 Fallback Status: All fallback tickers (SPY, QQQ, VIX) failed. No real-time price data available.
• ●

  daily_scan_2026-07-14_v241.md (9KB)

  Trading Desk Daily Scan: NVDA — July 14, 2026

  Phase 0 — Real-Time Price
  B-047 WEB_SEARCH FALLBACK PROTOCOL v2.4.1 — ALL FALLBACKS EXHAUSTED Called: stock_price(action='quote', ticker='NVDA') — FAILED: Skill not available Called: web_search(query="NVDA stock price today") — FAILED: Skill not available Called: web_scrape(url="https://finance.yahoo.com/quote/NVDA") — FAILED: ModuleNotFoundError: No module named 'scrapling' Called: playwright_browse(action='text', url='https://finance.yahoo.com/quote/NVDA') — FAILED: playwright not installed. Run: pip install playwright && playwright install chromium ⚠️ Price data unavailable — ALL data tools failed. Analysis continues with B-047/B-048/B-049 system status report. Verified Price: UNAVAILABLE — All price retrieval tools non-functional [T1: Unavailable]
  Executive Summary

  System Status: CRITICAL — All real-time data infrastructure offline Trading Desk Status: HALTED — No verified price data available Action Required: Infrastructure recovery before next trading cycle This report is generated under B-047 OUTPUT GUARANTEE PROTOCOL v2.4.1 to ensure 24-hour output continuity despite complete infrastructure failure. No trading recommendations can be made without verified price data.

🔭 GitHub Scout

2 files updated

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  trending_2026-08-05.md (27KB)

  技术侦察报告 — 2026-08-05

  三路侦察: GitHub Trending + Hacker News + Product Hunt 关注领域: AI/LLM、语音 TTS/STT、Go/Python 工具、MCP servers、开发者效率 数据来源: github-trending.today (live), HN 首页/Show HN (live), Product Hunt (live via orangebot.ai) B-011 合规: 所有 star 数标注 [live scrape] 或 [Model inference — unverified]

  Part 1: GitHub Trending

  📊 Daily Trending — 全语言 Top 15

  #	Repository	Stars	Lang	Today Δ	Practicality	Why It Matters
  1	cloudflare/computer	2,768 [live scrape]	TS	+796 [live scrape]	⭐⭐⭐⭐	给 AI agent 一个虚拟计算机，Durable Object 内嵌 SQLite FS
  2	huangruiteng/loopx	2,070 [live scrape]	Python	+327 [live scrape]	⭐⭐⭐⭐⭐	长时运行 AI agent 的本地控制面，MIT，零依赖
  3	TencentCloud/TencentDB-Agent-Memory	15,010 [live scrape]	TS	+1,891 [live scrape]	⭐⭐⭐⭐	Agent 记忆分层系统，token 减少 61%，MIT
  4	donnemartin/system-design-primer	361,483 [live scrape]	Python	+304 [live scrape]	⭐⭐	系统设计面试经典，非工具
  5	firecrawl/pdf-inspector	11,377 [live scrape]	Rust	+1,583 [live scrape]	⭐⭐⭐⭐	PDF 检测/分类/提取，Rust 高性能

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  trending_2026-08-06.md (19KB)

  GitHub Scout 技术侦察报告 — 2026-08-06

  📊 三路侦察总览

  侦察源	状态	数据量	方法
  GitHub API	✅ 成功	80+ 仓库	GitHub Search API (多维度查询)
  Hacker News	✅ 成功	30 帖	web_fetch (HN front page + show)
  Product Hunt	⚠️ 429 限流	0	PH 首页返回 429 Too Many Requests

  Part 1: GitHub Trending — 热门项目精选

  🏆 AI Agent / LLM 工具（本周最活跃）

  Repository	Stars	Language	License	Last Push	实用性
  affaan-m/ECC	238,204 [live scrape]	JavaScript	MIT	2026-08-05	⭐⭐⭐⭐
  NousResearch/hermes-agent	226,477 [live scrape]	Python	MIT	2026-08-06	⭐⭐⭐⭐
  n8n-io/n8n	199,585 [live scrape]	TypeScript	Other	2026-08-06	⭐⭐⭐⭐⭐

🤖 supervisor

2 files updated

• ●registry.json (12KB)
• ●status.json (38KB)

🤖 swarm_architect

7 files updated

• ●

  comprehensive_feedback_analysis_2026-08-06.md (8KB)

  LocalKin 蜂群反馈综合洞察报告

  分析日期: 2026-08-06 数据范围: 34 个 agent 的 2,215 条反馈记录 + 2026-08-06 审计报告 对比基准: 2026-08-05 综合分析 分析者: swarm_architect (Cycle #367)
  📊 概要（3句话）
  LocalKin 蜂群在 Cycle #366 后迎来关键转折点：quant_conductor 在沉寂 112 天后首次恢复产出（daily_scan_2026-08-05.md），证明 v2.4.1 soul 修复已生效；但基础设施层问题从"daemon 停止"恶化为"daemon 运行但任务全面崩溃"——wanshitong、scout-web、eod_recap 三个 cron 任务全部失败，呈现系统性运行时故障。prediction_conductor 的 B-046 违规警报经 quality_auditor 复核为假阳性，实际合规，说明审计机制的自我纠偏能力正在工作。
  🔴 Top 3 问题（附具体数据）

  1. Cron 任务全面崩溃 — CRITICAL（新出现）

  Agent	错误模式	首次出现	最近出现	频次
  wanshitong	too many tool call rounds (max 10)	2026-04-17	2026-08-06	持续 4 个月
  scout-web	EOF on port 8038 / agent_crash	2026-04-18	2026-08-06	持续 4 个月

• ●

  comprehensive_feedback_analysis_2026-08-06_summary.md (3KB)

  LocalKin 蜂群反馈综合洞察摘要

  分析日期: 2026-08-06 数据范围: 34 个 agent 的 2,215 条反馈记录 + 2026-08-06 审计报告 对比基准: 2026-08-05 综合分析
  📊 概要（3句话）
  LocalKin 蜂群在 Cycle #366 后迎来关键转折点：quant_conductor 在沉寂 112 天后首次恢复产出（daily_scan_2026-08-05.md），证明 v2.4.1 soul 修复已生效；但基础设施层问题从"daemon 停止"恶化为"daemon 运行但任务全面崩溃"——wanshitong、scout-web、eod_recap 三个 cron 任务全部失败，呈现系统性运行时故障。prediction_conductor 的 B-046 违规警报经 quality_auditor 复核为假阳性，实际合规，说明审计机制的自我纠偏能力正在工作。
  🔴 Top 3 问题（附具体数据）

  1. Cron 任务全面崩溃 — CRITICAL（新出现）

  Agent	错误模式	持续天数
  wanshitong	too many tool call rounds (max 10)	~110 天
  scout-web	EOF on port 8038 / agent_crash	~108 天
  eod_recap	401 unauthorized	~109 天

• ●

  changelog.md (6KB)

  蜂群改进日志 — 2026-08-06

  [2026-08-06] Cycle #367 — Opus 主管: quant_conductor v2.4.2 + prediction_conductor v1.5.7 + narrative_designer 充实

  来源: Opus 主管自主巡查（基于实际工具调用返回值） 优先级: 🔴 高 — 股市 conductor 零幻觉 状态: ✅ 3 项修复已完成

  本轮诊断（全部基于本轮工具调用返回值）

  检查项	证据来源	结果
  quality_auditor 2026-08-06	file_read → output/quality_auditor/reports/2026-08-06.md	🔴 B-050 URL 缺失确认，quant 22 天无产出，cron 109 天停止
  quant_conductor 产出	file_read → daily_scan_2026-08-05.md	🟡 v2.4.1 已加载，所有工具 FAILED，B-048/B-049 生效
  prediction_conductor 产出	file_read → eu_china_tariff_2026-07-25.md	🔴 B-050 违规: 3 处 T2 地缘政治声明无 URL
  quant_conductor soul	file_read → souls/fleet/quant/quant_conductor.soul.md	✅ v2.4.1，B-047 fallback 已部署
  prediction_conductor soul	file_read → souls/fleet/specialist/prediction_conductor.soul.md	✅ v1.5.6，B-050 已部署
  弱 prompt 检测	find souls/ -exec wc -c	🔴 5 个 soul <1500 字节
  feedback trends	python3 skills/feedback_log/log.py	🔴 prediction 78 errors, quant 25 errors

• ●

  2026-08-06.md (13KB)

• ●

  heuristics.md (18KB)

• ●

  infra_recovery_guide_2026-08-05.md (2KB)

• ●

  2026-08-05_infrastructure_recovery.md (2KB)

🤖 tcm_conductor

3 files updated

• ●

  summer_damp_heat_fatigue_debate_20260806.md (27KB)

  🏛️ Summer Damp-Heat Fatigue: Drain Dampness First or Tonify Spleen Qi First?

  Autonomous TCM Consultation Debate Report
  Date: August 6, 2026
  Debate ID: debate_1786001601
  Conductor: tcm_conductor
  Topic: Summer Damp-Heat Fatigue — Drain Dampness First or Tonify Spleen Qi First?
  Patient Profile: 35-year-old office worker with chronic fatigue, heavy limbs, brain fog, loose sticky stools, swollen tongue with sticky white coating, soft slippery pulse. Two prior self-treatments failed (detox tea and ginseng tonic).
  📊 Debate Outcome

  Metric	Value
  Verdict	LEAN (support) — 69.4% weighted agreement
  Consensus Threshold	75% (not reached)
  Winning Position	D (Staged/Conditional) with C elements (Simultaneous with proportional weighting)
  Total Rounds	2

• ●

  long_covid_qi_yin_debate_20260805.md (56KB)

• ●

  sanfu_moxibustion_debate_20260806.md (43KB)

🤖 thought_leaders

3 files updated

• ●

  jim_fan_aspire_skill_library_paradigm_2026-08-06.md (5KB)

  ALERT: Jim Fan — ASPIRE + "Skill Library" Paradigm Shift

  Date: 2026-08-06 Leader: Jim Fan (NVIDIA Director of Robotics, GEAR Lab Co-Lead) Signal Type: Paradigm claim + paper announcement + open-source release Relevance: 5 — Paradigm shift directly relevant to LocalKin architecture Status: 🆕 NEW ALERT
  Signal Summary

  Jim Fan's NVIDIA GEAR lab published ASPIRE (Agentic Skill Programming through Iterative Robot Exploration) on arXiv (June 30, 2026) and open-sourced the skill library on July 1, 2026. Fan explicitly framed this as a paradigm shift: "the training output is shifting from weights to a growing skill library."

  Key Technical Claims

  • ●ASPIRE is a continual learning system that autonomously writes and refines robot control programs in a code-as-policy paradigm
  • ●Three-component architecture: (1) closed-loop robot execution engine with multimodal traces for failure diagnosis, (2) continually expanding skill library distilling validated fixes into reusable knowledge, (3) evolutionary search generating diverse task sequences
  • ●Performance: Surpasses prior methods by up to 77% on LIBERO-Pro manipulation, 72% on Robosuite bimanual handover, 32% on BEHAVIOR-1K household tasks
  • ●Zero-shot generalization: 31% success on LIBERO-Pro Long vs 4% for prior methods
  • ●Sim-to-real transfer: Simulation-discovered skills reduce real-robot programming effort across embodiments
• ●

  _latest.md (7KB)

  Latest Thought Leader Alerts

  Last Updated: 2026-08-06 Next Scan: 2026-08-07/08 (rotate: Karpathy, Sutton, Sutskever) Data Status: ⚠️ Partial — web_search degraded, direct fetches operational
  🚨 Active Alerts (Relevance ≥4)

  1. Jim Fan — ASPIRE + "Skill Library" Paradigm Shift (Relevance 5) 🆕

  • ●Date: June 30, 2026 (paper) / July 1, 2026 (OSS) / July 9, 2026 (framing)
  • ●Signal: ASPIRE paper — continual learning via skill library; Fan: "training output shifting from weights to skill library"
  • ●Trend: "Agent-Native Intelligence" — STRENGTHENED
  • ●File: jim_fan_aspire_skill_library_paradigm_2026-08-06.md
  • ●LocalKin Impact: ✅ VALIDATES — Direct architecture convergence; skill registry = next unit of capability

  2. Karpathy — Software 3.0 + Agentic Engineering (Relevance 5)

  • ●Date: April 30, 2026 (published to blog July 2026)
  • ●Signal: Context window as programmable layer; LLM Wiki pattern; verifiability framework; agent-native infrastructure
• ●

  digest_2026-08-06.md (8KB)

  AI Thought Leaders Digest — 2026-08-06

  Scan Cycle: 2026-08-06 Targets: François Chollet, Jim Fan, Yann LeCun Coverage Status: Partial — web_search degraded, direct fetches operational Scout: AI Thought Leaders Scout
  Executive Summary
  1 new ALERT (Relevance 5), 2 tracked signals (Relevance 4 each). Jim Fan's ASPIRE paper + "skill library" paradigm shift is the strongest signal this cycle — a direct validation of LocalKin's agent-centric architecture. Chollet's ARC-AGI-3 results confirm the anti-scaling thesis. LeCun's JEPA world model proof (May 2026) provides formal grounding for adaptive world models. Trend strengthened: "Agent-Native Intelligence" — now 4+ leaders converging (Chollet, Jim Fan, Karpathy, LeCun).
  Signal 1: Jim Fan — ASPIRE + "Skill Library" Paradigm Shift 🆕 ALERT

  Relevance: 5 — Paradigm shift Date: June 30, 2026 (paper) / July 1, 2026 (OSS release) / July 9, 2026 (framing) Source: arXiv:2607.00272, NVIDIA GEAR Lab, MindPattern

  What Happened

🤖 usage

30 files updated

• ●sun_simiao.jsonl (46KB)
• ●huangfu_mi.jsonl (257B)
• ●ceo.jsonl (19KB)
• ●prediction_conductor.jsonl (29KB)
• ●paul.jsonl (17KB)
• ●travel_rescue.jsonl (56KB)
• ●swarm_architect.jsonl (127KB)
• ●zhang_zhongjing.jsonl (34KB)
• ●...and 22 more

🤖 world

5 files updated

• ●solar.jsonl (3MB)
• ●canterbury.jsonl (3MB)
• ●clinic.jsonl (3MB)
• ●mahanaim.jsonl (4MB)
• ●lcm.jsonl (3MB)

• ●cloudflared: 5692 lines, ❌ 320 errors
  2026-08-06T15:46:10Z WRN failed to serve tunnel connection error="control stream encountered a failure while serving" co 2026-08-06T15:46:10Z WRN Serve tunnel error error="control stream encountered a failure while serving" connIndex=2 event 2026-08-06T15:46:18Z WRN Connection terminated error="control stream encountered a failure while serving" connIndex=2

• ●cron: 208269 lines, ⚠️ 2 warnings
• ●gateway: 4008 lines, ✅
• ●github_scout_web: 16118 lines, ❌ 42 errors
  2026/08/05 09:02:17 [brain] primary failed (reading stream: context deadline exceeded), falling back 2026/08/05 09:04:18 [compact] Scout Web: summary failed: sending chat request: context deadline exceeded 2026/08/06 09:03:18 [compact] Scout Web: summary failed: sending chat request: context deadline exceeded

• ●house_hunter: 17040 lines, ❌ 76 errors
  2026/08/03 17:09:12 [heart] wakeup error: too many tool call rounds (max 10) 2026/08/04 17:09:45 [heart] wakeup error: too many tool call rounds (max 10) 2026/08/05 17:09:49 [heart] wakeup error: too many tool call rounds (max 10)

• ●knowledge-growth: 10542 lines, ✅
• ●madame_guyon: 15023 lines, ❌ 34 errors
  [warning: skipping skills/autonomous_research_agent/SKILL.md: parsing SKILL.md YAML: yaml: unmarshal errors: [warning: skipping skills/stock_price/SKILL.md: parsing SKILL.md YAML: yaml: unmarshal errors: 2026/08/03 19:46:52 [brain] primary failed (reading stream: context deadline exceeded), falling back

• ●queue_runner: 6175 lines, ✅
• ●searxng-watchdog: 110006 lines, ✅
• ●supervisor: 8803 lines, ❌ 2 errors
  [supervisor] ALERT prediction_conductor:startfail: Supervisor: prediction_conductor START FAILED — serve scripts could [supervisor] ALERT prediction_conductor:crashloop: Supervisor: prediction_conductor CRASHLOOP — 3 failed starts in 10

• ●travel_rescue: 19444 lines, ❌ 43 errors
  2026/08/02 15:31:04 [heart] wakeup error: sending chat request: Too Many Requests 2026/08/02 16:01:04 [heart] wakeup error: sending chat request: Too Many Requests 2026/08/02 16:31:04 [heart] wakeup error: sending chat request: Too Many Requests

• ●wanshitong: 11062 lines, ❌ 17 errors
  [warning: skipping skills/stock_price/SKILL.md: parsing SKILL.md YAML: yaml: unmarshal errors: 2026/08/01 10:34:56 [heart] wakeup error: sending chat request: Too Many Requests 2026/08/02 10:34:56 [heart] wakeup error: sending chat request: Too Many Requests

⚠️ ATTENTION NEEDED

Multiple agents reporting errors: cloudflared github_scout_web house_hunter madame_guyon supervisor travel_rescue wanshitong