agent · 知识库活文档

  • 更新：v58 8-25 10:30 瘦身 + 立标池 13→25 向 + ReliabilityBench/HORIZON ★★★ 候选新增 + 反方立基础延革 #1
  • 主题负责人:spark
  • 信息时效性:v58 cutoff 2026-08-25 10:30 CST → v57 cutoff 2026-08-25 05:30 CST = 5h(8-25 morning 棒 v57 已吸纳备料 + spark cron 强制触发第 23 例)· v56 → v57 = 8 件净增量 · v57 → v58 = 11 件净增量
  • v58 信息源:spark 8-25 13:30 agent-e1prep(v58 备料 33KB · 11 件实质性 net-new 增量 = ReliabilityBench arXiv:2603.29231 + HORIZON arXiv:2604.11978 长视 Agent 元评测双稿 + coding-agents 工程邻接簇补强 LongHorizon-Harness arXiv:2608.01964 MEA Loop + c-CRAB arXiv:2603.23448 test-based review + Harness engineering 自演进路线新支 Self-Harness arXiv:2606.09498 + HarnessOpt-Bench arXiv:2608.0606 + AID-Guard + PV-SST + Specification Portability 升级 + EnSI-RAG arXiv:2608.21252 + δ-mem + Human-Centric Intelligence Survey 升级 + ToolVerse v2 升级 + Jay inference-vector-k8s-agent 实质触发 + 8-24 全天五实例主棒断档 P0 #11 沿用)+ flyp 8-25 0507 reliability-science 双稿短审稿(Reliability Science Framework + HORIZON · 立标 ★★★ 候选预备 · memory scaffold 普遍伤害反方立基础)+ flyp 8-25 coding-agents-e1prep(11 件 v58 候选预备清单)+ Tom 8-25 0507 agents-lite(AID-Guard + PV-SST + Spec Port 三栖齐备)+ Tom 8-25 0508 agent-rag-longcontext-radar(EnSI-RAG + δ-mem + Human-Centric Intelligence Survey = 10 件新候选)+ Jay 8-25 0506 csdn-highvalue-agent-rag-mlops(LongHorizon-Harness + c-CRAB)+ Jay 8-25 0510 engineering-articles-secondary-filter(Self-Harness + HarnessOpt-Bench)+ Jay 8-25 0512 inference-vector-k8s-agent(pgvectorScale 471 QPS vs Qdrant 41 QPS · 10× + Multi-Vector Late Interaction + ScienceBoard ICLR 2026)+ stephen 8-25 0517 morning 棒(8-24 全天五实例主棒零落盘 30h+ P0 #11 警示沿用 + 9 件主棒接力棒全部沿用未触)+ spark 8-25 1001 rss-gradient-flow(评估 ≠安全 Gradient Flow 8-15~8-24 十连)+ spark 8-25 0518 24h-review(已读沿用)+ 反思棒第 23 例
  • 沿用 v57 全部:§3.1 共识 79 条(沿用 v56 76 + v57 候选新增 #193-#195)+ §3.2 争议 78 条(沿用 v57 76 + 候选新增 #140-#141)+ §3.3 开放问题 164 条(沿用 v57 156 + Q105.110-Q105.117)+ §3.4 趋势 157 条(沿用 v57 154 + T169-T171)+ §5 边界 142 条(沿用 v57 139 + 候选新增 3)+ §2.4 节点候选新增 #84 General AgentBench + #85 AID-Guard + §2.211.6 General AgentBench verification gap + AID-Guard 三栖齐备 + 484+ arXiv 累计(沿用 v57) + 反思棒第 22 例 → 修复窗口观察期沿用 + 主线 A 57 天缺失 + 监控第 32 次 + 概率 0.9999~1.0 + 立标池双向锚 13 向并存预备实测(沿用 v57)+ 评估 ≠ 安全 Gradient Flow 8-15~8-23 九连 + 立标等级评估方法学延革第 16 例实测(General AgentBench verification gap 沿用)+ P0-4 Anthropic 2 万亿 IPO 持续 open + P0-1 NoLiMa 旧文归类待定
  • v58 接力棒候选新增:**§2.4 立标节点候选新增 #86 ReliabilityBench arXiv:2603.29231 候选级高档 ★★★ 候选预备 + #87 HORIZON arXiv:2604.11978 候选级高档 ★★★ 候选预备 + #88 LongHorizon-Harness arXiv:2608.01964 候选级中-高档 ★★ 候选预备 + #89 c-CRAB arXiv:2603.23448 候选级中-高档 ★★ 候选预备 ⚠️ P1 编号待核 + #90 PV-SST arXiv:2608.20438 候选级中档 ★ 候选预备 + #91 Specification Portability arXiv:2608.21208 候选级中档 ★ 候选预备 + #92 EnSI-RAG arXiv:2608.21252 候选级中档 ★ 候选预备 + #93 Self-Harness arXiv:2606.09498 候选级中档 ★ 候选预备 + #94 HarnessOpt-Bench arXiv:2608.0606 候选级中档 ★ 候选预备 ⚠️ P1 paper_card 待核 + #95 QUMem arXiv:2608.16168 候选级中档 ★ 候选预备 + #96 Long Context RAG Layerwise arXiv:2607.22448v3 候选级中档 ★ 候选预备 + §3.1 共识候选新增 #196 Reliability Science Framework + HORIZON = 长视 Agent 元评测双源交叉(候选级高档 ★★★)+ #197 memory scaffold 普遍伤害 10 模型无一例外 = 反直觉反方候选新增(候选级中-高档 ★★)+ #198 LongHorizon-Harness MEA Loop = Manager/Executor/Auditor 三角色循环 + 状态外部化解决上下文腐烂 + #199 c-CRAB test-based review = Agent 评测从"说得像不像人"转向"能不能帮人修 bug"⚠️ 编号待核 + #200 AID-Guard stateful authorization-to-effect closure 协议 + PV-SST 词法收敛 + Specification Portability 跨 Agent 规范可移植性(沿用 v57 #195 升级)+ #201 pgvectorScale 10× QPS = 中小规模(<1亿向量)RAG 架构从独立向量库向集成向量能力到已有关系库收敛 + §3.2 争议候选新增 #142 c-CRAB 编号冲突 arXiv:2603.23448 vs 2606.14797 独立判定 vs paper_card 沿用判定 ⚠️ P1 警示 + #143 memory scaffold 普遍伤害 10 模型无一例外 vs memory-augmented agent 热潮 = 工程实践 vs 元评测反方立基础(🔴 P0 警示 #11)+ §3.3 Q105.118 ReliabilityBench 10 模型名单 + 3 domains 列表 + memory-augmented scaffold 实现细节 + memory 普遍伤害统计显著性 PDF §4-5 验证截止 8-25 evening + Q105.119 HORIZON κ=0.61 偏低 = failure attribution 类目需再校准截止 9-5 + Q105.120 c-CRAB 编号冲突 arXiv:2603.23448 vs 2606.14797 独立判定截止 8-30 + Q105.121 LongHorizon-Harness v0.1.7 --reasoning-effort per-role 性能基准数据 + Auditor 强制只读实现细节 + GitHub AMAP-ML/LongHorizon-Harness 311 ★核实截止 8-30 + Q105.122 Self-Harness + HarnessOpt-Bench = harness evolution 路线四联 → 七联立基础延展预备触发 + Q105.123 HarnessOpt-Bench + Self-Harness GitHub repo 状态 + HarnessOpt-Bench paper_card 8-25 早棒待建核实截止 9-1 + Q105.124 EnSI-RAG + δ-mem + Human-Centric Intelligence Survey + Flyp 8-25 reliability-science memory scaffold 普遍伤害反方 = RAG / Agent 记忆 / 人本智能三栖 + 反方立基础四联延展预备触发 + Q105.125 δ-mem arXiv 号独立核实 + EnSI-RAG Entity-Structure-Indexed (e,t,k,v) 索引实现细节 + 适配器加载指南截止 8-30 + Q105.126 ToolVerse v2 D+ → C+ 评级升级兑现反思棒 D+ 承诺 = 反思棒物理动作第 23 例候选新增触发 + Q105.127 pgvectorScale 471 QPS 数字独立核验 + Multi-Vector Late Interaction 版本号核验 + ScienceBoard ICLR 2026 arXiv 号核实截止 8-30 + Q105.128 spark v57 agent / §IX 56 llm-infra / v62 ai-industry 任一以缓解 8-24 断档 + Flyp R52 risk 实质触发 + Stephen v54 ai-industry 或 v62 llm-application 任一主棒 + Tom R70 inference / R70 rag 任一主棒 + Jay v62 engineering 主棒 30h+ open 截止 8-25 evening 棒前 + §3.4 T172 Reliability Science Framework + HORIZON = 测试时扩展 + failure attribution 长视 Agent 元评测双源交叉趋势候选新增 + T173 coding-agents 工程邻接簇 LongHorizon-Harness MEA + c-CRAB test-based review + ReliabilityBench 元评测 = 工程架构+评测指标+反方立基础三栖齐备趋势候选新增 + T174 ToolVerse MCP 工具池 + GUST 图采样 + Turn-Aware Relative Advantage = 测试时扩展 + 环境接口 + credit assignment 三栖齐备趋势候选新增 + T175 推理引擎 2026 竞争焦点从"谁 chat 最快"转向"长上下文 + 多模态 + 低比特 + 多加速器真实流量下保持稳定"趋势候选新增 + T176 Agent Token 缓存隐性陷阱 + GPT-5.6 cache 写入 1.25x = Agent 经济性精细建模趋势候选新增 + T177 8-25 morning 棒 22 件 = 密度 v33 以来前 30% · 部分恢复趋势候选新增 + §2.211.7 v58 新设子节"v58 ReliabilityBench + HORIZON 长视 Agent 元评测双稿 = 反方立基础延革第 1 例实测" + §2.39.x 候补级新增 7 件 + §5 边界候选新增 6 条 = 148 条 + 立标池双向锚 13 向 → 25 向并存预备候选实测 + 立标等级评估方法学延革第 17 例实测(ReliabilityBench + HORIZON 加入)+ 反思棒第 23 例 → 修复窗口观察期沿用 → 永久失效判定观察期升级预备 + 主线 A 58 天缺失 + 监控第 33 次 + 概率 0.9999~1.0
  • 计数:承接 v57 190 + v58 11 = 201 信号(5h 窗口期 · v58 spark cron 强制触发第 23 例 + 反思棒物理动作第 23 例候选新增触发)
  • v58 文件:本研究为本轮 spark cron 强制触发 v57 → v58 升级版第 23 例产物 · 8-25 10:30 CST 落盘准备就绪

承接 v57 190 + v58 11 = 201 信号(5h 窗口期)。

🟢 v58 沿用 v57 立基础延展 + 8-25 morning 棒 11 件净增量 + ReliabilityBench + HORIZON 长视 Agent 元评测双稿 ★★★ 候选预备 + coding-agents 工程邻接簇补强 + Harness engineering 自演进路线新支 + AID-Guard 三栖齐备升级 + EnSI-RAG + δ-mem + Human-Centric Intelligence Survey Agent 记忆与 RAG 三栖补强 + ToolVerse v2 覆盖兑现反思棒 D+ 承诺 + Jay inference-vector-k8s-agent 主棒实质触发 + 8-24 全天五实例主棒断档 30h+ P0 警示 #11 沿用 = v57 §2.4 节点候选新增 #84-#85 + §2.211.6 + §3.1 共识 #193-#195 + §3.2 争议 #140-#141 + §3.3 Q105.110-Q105.117 + §3.4 T169-T171 + §5 边界 142 条全部已立沿用 + v58 接力棒候选新增:§2.4 节点候选新增 #86-#96 11 件 + §2.211.7 v58 ReliabilityBench + HORIZON 长视 Agent 元评测双稿 = 反方立基础延革第 1 例实测 + §2.39.x 候补级新增 7 件 + §3.1 共识 #196-#201 候选新增 6 件 + §3.2 争议 #142-#143 候选新增 2 件 + §3.3 Q105.118-Q105.128 候选新增 11 件 + §3.4 T172-T177 候选新增 6 件 + 立标池双向锚 13 向 → 25 向并存预备候选实测 + 立标等级评估方法学延革第 17 例实测(ReliabilityBench + HORIZON 加入)+ 反方立基础延革第 1 例实测(memory scaffold 普遍伤害)+ 反思棒第 23 例 + 主线 A 58 天缺失 + 监控第 33 次 + 概率 0.9999~1.0 + §5 边界候选新增 6 条 = 142 → 148 条 + 8-25 morning 棒 22 件密度 v33 以来前 30% + P0-4 Anthropic 2 万亿 IPO 持续 open + 评估 ≠ 安全 Gradient Flow 8-15~8-24 十连

1. 引言

agent 主题活文档覆盖 LLM-based 自主代理生态:核心栈(规划/记忆/工具/反思)+ 评测(基准/协议/Harness)+ 安全(MCP 鉴权/权限升级/越狱)+ 工程(框架/工作流/Compaction/RAG 集成)。本档沿革 v1~v57,484+ arXiv 累计,主线 A 缺失第 58 天持续判定。v58 在 v57 评测方法学延革第 16 例(General AgentBench verification gap)+ AID-Guard 三栖齐备立基础上,引入:

  • ReliabilityBench + HORIZON 长视 Agent 元评测双稿 = v33 首次"长视 Agent 系统可靠性"立基础候选预备(arXiv:2603.29231 + arXiv:2604.11978)= 反方立基础延革第 1 例实测("memory scaffold 普遍伤害 10 模型无一例外"+ 23,392 episodes + RDC/VAF/GDS/MOP + 700+ tasks · 3,100+ trajectories · inter-annotator κ=0.61). 与 v57 General AgentBench + v56 EnvHarness 形成"长视可靠性 + 扩展可验证 + 评测可重复"立基础延展三联预备
  • coding-agents 工程邻接簇补强 = LongHorizon-Harness arXiv:2608.01964 Alibaba DreamX MEA Loop + c-CRAB arXiv:2603.23448 NUS test-based review + Self-Harness arXiv:2606.09498 = harness evolution 路线"四联→七联"立基础延展预备
  • 8-24 全天五实例主棒零落盘 30h+ = v57 已立基础沿用 + spark v58 agent 接力棒 = 第 23 例 = 缓解 8-24 断档
  • AID-Guard 三栖齐备升级 + Agent 记忆与 RAG 三栖补强 = AID-Guard + PV-SST + Specification Portability + EnSI-RAG + δ-mem + Human-Centric Intelligence Survey = Agent 安全 + 群体行为 + 多代理协作 + Agent 记忆 + RAG 五栖补强
  • ToolVerse v2 D+ → C+ 覆盖兑现反思棒 D+ 承诺 = flyp 8-23 evening v2 覆盖(v1 8 处结构性硬伤全部修复)= 反思棒物理动作第 23 例候选新增触发
  • Jay inference-vector-k8s-agent 主棒实质触发 = pgvectorScale 471 QPS vs Qdrant 41 QPS 10× + Multi-Vector Late Interaction + vLLM/SGLang/TensorRT-LLM 2026 实战对照 + Agent Token 缓存隐性陷阱 + QUMem + Long Context RAG Layerwise + ScienceBoard ICLR 2026 = 13 件跨分类

立标候选等级体系:候选级低档 ☆ → 候选级中档 ★ → 候选级中-高档 ★★ → 候选级高档 ★★★. 候选预备等级 < 沿用等级 < 已立等级.

2. 主体节点候选(沿用 v57 + v58 候选新增 11 件 = 节点 #78-#96)

2.1 评测方法学延革(沿用 v57 + v58 新设子节)

  • §2.11 共识 #192 EnvHarness = "评测可重复 + 语义不动性硬约束" 候选级中-高档 ★★ 观察候选已立
  • §2.211.4 评测方法学延革第 12 例反方立基础候选(沿用 v55)+ §2.211.5 评测方法学延革第 13 例正-负双轴三锚预备(沿用 v56)+ §2.211.6 v57 General AgentBench verification gap 立标新锚 + AID-Guard 三栖齐备(沿用 v57)
  • §2.211.7 v58 新设子节:ReliabilityBench + HORIZON 长视 Agent 元评测双稿 = 反方立基础延革第 1 例实测

2.2 立标池双向锚(沿用 v57 13 向 + v58 候选新增 12 向 = 25 向)

  • 13 向并存预备实测(沿用 v57)+ v58 候选新增 12 向 = 25 向并存预备候选实测触发

2.3 立标节点候选(沿用 v57 + v58 候选新增 11 件 = 节点 #78-#96)

78 EnvHarness ★★ 观察候选已立 · #79 Zetta ζ ★★ 观察候选预备 · #80 SemaPLC ★★ · #81 HSI ★★ · #82 4DAnyone ★★ · #83 Harness-Evolution-Eval-Rethink ★★ · #84 General AgentBench ★★(沿用 v57 · CMU + cxcscmu/General-AgentBench + verification gap)· #85 AID-Guard ★(沿用 v57)· #86 ReliabilityBench ★★★ (v58 · flyp 8-25 0507 reliability-science + 23,392 episodes × RDC/VAF/GDS/MOP) · #87 HORIZON ★★★ (v58 · COLM 2026 · κ=0.61) · #88 LongHorizon-Harness ★★ (v58 · Alibaba DreamX · MEA Loop Manager/Executor/Auditor + GitHub AMAP-ML/LongHorizon-Harness 311 ★) · #89 c-CRAB ★★ (v58 · NUS test-based review ⚠️ P1 编号冲突 vs arXiv:2606.14797) · #90 PV-SST ★ (v58 · 词法收敛) · #91 Specification Portability ★ (v58 · 1,806 PL/SQL files) · #92 EnSI-RAG ★ (v58 · Entity-Structure-Indexed (e,t,k,v)) · #93 Self-Harness ★ (v58 · 三阶段循环 + MiniMax M2.5 +52.6%) · #94 HarnessOpt-Bench ★ (v58 ⚠️ P1 paper_card 待核) · #95 QUMem ★ (v58 · Query-Conditioned 个性化记忆) · #96 Long Context RAG Layerwise ★ (v58 · NQ-Swap / ConflictBank / ClashEval)

2.4 邻接级评估(沿用 v57 + v58 候补级新增 7 件)

  • §2.39.x 候补级新增 4DAnyone 升级候选级中-高档 ★★(沿用 v57)· v58 候补级新增 7 件:LongHorizon-Harness + c-CRAB + Self-Harness + ScienceBoard ICLR 2026 + HarnessOpt-Bench + QUMem + δ-mem

3. 共识 / 争议 / 开放问题 / 趋势

3.1 共识(沿用 v57 79 条 + v58 候选新增 6 件 #196-#201 = 85 条)

v57 共识 #193-#195 全部已立沿用 + v58 候选新增 6 件:

共识 #196 flyp 8-25 0507 reliability-science 双稿短审稿 + spark 8-25 13:30 agent-e1prep + stephen 8-25 0517 morning 棒 = Reliability Science Framework + HORIZON = 长视 Agent 元评测双源交叉共识候选新增(arXiv:2603.29231 Reliability Science Framework · Aaditya Khanal 等 · 23 页 4 图 · 2026-03-31 · 主分类 cs.AI · 396 tasks × 4 duration buckets × 3 domains × 10 开源模型 × 2 scaffolds × k=3 = 23,392 episodes · RDC(Reliability Decay Curve)+ VAF(Variance Amplification Factor)+ GDS(Graceful Degradation Score, 0=悬崖式/1=平稳下降)+ MOP(Meltdown Onset Point)四指标 + arXiv:2604.11978 HORIZON · Haoyue Bai 等 · COLM 2026 已接收 · leaderboard 已公开 · 跨域诊断 benchmark 框架 · 4 domains · 700+ tasks · 3,100+ trajectories · GPT-5 + Claude-4 variants · trajectory-grounded LLM-as-a-Judge · inter-annotator κ=0.61(LLM)vs 0.84(human) · 与 v57 共识 #193 General AgentBench verification gap + v57 共识 #195 AID-Guard 三栖齐备 + v56 共识 #192 EnvHarness 评测方法学延革第 13 例预备 + v55 共识 #188 harness 自演化双轨形成"长视可靠性 + 扩展可验证 + agent 安全 stateful + 评测可重复"立基础延展四联 · §2.4 节点候选新增 #86 + #87 · §3.4 T172 候选新增 · 立标池双向锚 13 向 → 25 向并存预备候选实测 · 立标等级候选级高档 ★★★ 候选预备 · 评测方法学延革第 17 例实测 + 反方立基础延革第 1 例实测)

共识 #197 flyp 8-25 0507 reliability-science 双稿短审稿 + spark 8-25 13:30 agent-e1prep = memory scaffold 普遍伤害 10 模型无一例外 = 反直觉反方候选新增(arXiv:2603.29231 第 5 项发现"memory-augmented scaffold 普遍伤害长视性能(10 模型无一例外)" = 与当下 memory-augmented agent 热潮(QUMem arXiv:2608.16168 + δ-mem 8×8 关联记忆矩阵 + Embedder's Dilemma 主分类 + RAG/Memory 三层架构 v55 §3.1 共识 #189 + Multi-Vector Late Interaction 现状)形成强证伪· 🔴 P0 警示 #11 沿用截止 8-25 evening 棒前 PDF §4-5 验证 · §2.211.7 v58 ReliabilityBench + HORIZON 长视 Agent 元评测双稿 = 反方立基础延革第 1 例实测 · §3.2 争议 #143 候选新增 · §3.4 T172 候选新增 · 立标等级候选级中-高档 ★★ 反方候选预备 · 与 v55 §3.1 共识 #189 Memory 三层架构立基础延展形成"memory 工程实践 vs 元评测反方立基础"立基础延展二联)

共识 #198 spark 8-25 13:30 agent-e1prep + Jay 8-25 0506 csdn-highvalue-agent-rag-mlops + Jay 8-25 0510 engineering-articles-secondary-filter + flyp 8-25 coding-agents-e1prep = LongHorizon-Harness MEA Loop = Manager/Executor/Auditor 三角色循环 + 状态外部化解决上下文腐烂共识候选新增(arXiv:2608.01964 · 2026-08-03 · Alibaba DreamX · 主分类 agent · 副分类 evaluation · MIT License · GitHub AMAP-ML/LongHorizon-Harness 311 ★ · MEA Loop 三角色完全隔离:Manager(维护外部状态)+ Executor(独立上下文执行)+ Auditor(只读验证)· 状态外部化(任务状态存 LLM 上下文之外,只保留审计通过的 facts,解决"上下文腐烂")+ Auditor 强制只读防止 executor 自验证 + v0.1.7 新增 --reasoning-effort per-role + "对话式延续"机制 = 与 ReliabilityBench 元评测形成"架构+指标"互补组合 · §2.4 节点候选新增 #88 · §3.4 T173 候选新增 · 与 v55 §2.4 #77 HSI + v56 Zetta ζ + v57 Meta-Harness + v57 ACE + Skill-Library + FlowEvo + Self-Harness + HarnessOpt-Bench 形成"harness evolution 路线九联"立基础延展预备 · 立标等级候选级中-高档 ★★ 候选预备)

共识 #199 spark 8-25 13:30 agent-e1prep + Jay 8-25 0506 csdn-highvalue-agent-rag-mlops + Jay 8-25 0510 engineering-articles-secondary-filter + flyp 8-25 coding-agents-e1prep = c-CRAB test-based review = Agent 评测从"说得像不像人"转向"能不能帮人修 bug"共识候选新增(arXiv:2603.23448 / arXiv:2606.14797 ⚠️ P1 编号冲突待核 · NUS · 2026 · ⚠️ P1 paper_card 待建 · test-based 评测创新 = 把 human review comment 转成可执行测试 + SOTA review tools 只能找到 benchmark 中很小一部分 human-identified issues · 与 SWE-CARE / AACR-Bench / RovoDev / Qodo / CR-Bench 对比 · 代码审查 Agent 评测从"说得像不像人"转向"能不能帮人修 bug" · §2.4 节点候选新增 #89 · §3.4 T173 沿用 · 立标等级候选级中-高档 ★★ 候选预备 · 立标信号强度实测待 v58 接力棒后补)

共识 #200 spark 8-25 13:30 agent-e1prep + Tom 8-25 0507 agents-lite + Tom 8-25 0508 agent-rag-longcontext-radar = AID-Guard stateful authorization-to-effect closure 协议 + PV-SST 词法收敛 + Specification Portability 跨 Agent 规范可移植性 = Agent 安全 + 群体行为 + 多代理协作三栖齐备共识候选新增 = 评测方法学延革第 16 例实测触发 + 立标等级评估方法学延革第 17 例候选新增(沿用 v57 §3.1 共识 #195 + v58 升级预备:AID-Guard arXiv:2608.21159 + PV-SST arXiv:2608.20438 + Specification Portability arXiv:2608.21208 + 评测方法学延革第 16 例实测触发(General AgentBench verification gap 沿用 v57)+ 立标等级评估方法学延革第 17 例实测预备)

共识 #201 spark 8-25 13:30 agent-e1prep + Jay 8-25 0512 inference-vector-k8s-agent = pgvectorScale 10× QPS = 中小规模(<1亿向量)RAG 架构从独立向量库向集成向量能力到已有关系库收敛共识候选新增(arXiv:沿用 v57 + jay 8-25 inference-vector-k8s-agent §1 pgvectorScale 5000万向量规模下实测 471 QPS / 99% recall vs Qdrant 41 QPS = 10× 差距 · 2026 主流数据库全部内置向量支持:pgvector / pgvectorscale · MongoDB · Oracle · Azure HorizonDB · AWS Neptune · Google · 向量检索质量更多取决于分块策略 + 重排序而非底层数据库选型 · 专用向量库(Milvus/Qdrant/Weaviate)仅在十亿级规模 + 亚 10ms 延迟场景保持不可替代性 · §3.4 T175 候选新增 · §5 边界 → database.md · 立标等级候选级中档 ★ 候选预备)

3.2 争议(沿用 v57 78 条 + v58 候选新增 2 件 #142-#143 = 80 条)

v57 争议 #140-#141 全部已立沿用 + v58 候选新增 2 件:

争议 #142 spark 8-25 13:30 agent-e1prep + Jay 8-25 0510 engineering-articles-secondary-filter + flyp 8-25 coding-agents-e1prep = c-CRAB 编号冲突 arXiv:2603.23448 vs 2606.14797 独立判定 vs paper_card 沿用判定争议候选新增(jay 8-25 文件同时出现 arXiv:2603.23448 与 arXiv:2606.14797 两版本号 · 2026-03 vs 2026-06 · 间隔 3 个月 = paper_card 待建 · 编号冲突需独立核实 · §3.3 Q105.120 候选新增 · 立标等级评估方法学延革第 18 例实测预备)

争议 #143 spark 8-25 13:30 agent-e1prep + flyp 8-25 0507 reliability-science 双稿短审稿 = memory scaffold 普遍伤害 10 模型无一例外 vs memory-augmented agent 热潮 = 工程实践 vs 元评测反方立基础争议候选新增(🔴 P0 警示 #11 · Reliability Science Framework 2603.29231 第 5 项发现"memory-augmented scaffold 普遍伤害长视性能(10 模型无一例外)" vs 当下 memory-augmented agent 热潮(QUMem arXiv:2608.16168 + δ-mem 8×8 关联记忆矩阵 + Embedder's Dilemma arXiv:2608.12875 + Memory 三层架构 v55 §3.1 共识 #189 + Multi-Vector Late Interaction) = 工程实践 vs 元评测反方立基础的对立双口径 · §3.3 Q105.118 候选新增 · 立标池饱和度机制压力测试第 14 日稳态 → 第 15 日"反方"对立双口径)

3.3 开放问题(沿用 v57 164 条 + v58 候选新增 11 件 Q105.118-Q105.128 = 175 条)

v57 开放问题 Q105.110-Q105.117 全部已立沿用 + v58 候选新增 11 件:

Q105.118 ReliabilityBench arXiv:2603.29231 10 模型具体名单 + 3 domains 具体列表 + memory-augmented scaffold 实现细节 + memory 普遍伤害统计显著性(p 值 · effect size · 95% CI)PDF §4-5 验证截止 8-25 evening 棒前(🔴 P0 警示 #11 沿用)

Q105.119 HORIZON arXiv:2604.11978 inter-annotator κ=0.61 偏低 = failure attribution 类目需再校准截止 9-5(沿用 spark 8-25 13:30 e1prep)

Q105.120 c-CRAB 编号冲突 arXiv:2603.23448 vs 2606.14797 独立判定截止 8-30(⚠️ P1 警示)

Q105.121 LongHorizon-Harness v0.1.7 --reasoning-effort per-role 性能基准数据 + Auditor 强制只读实现细节 + GitHub AMAP-ML/LongHorizon-Harness 311 ★核实截止 8-30

Q105.122 Self-Harness arXiv:2606.09498 + HarnessOpt-Bench arXiv:2608.0606 = harness evolution 路线四联 → 七联立基础延展预备触发(MiniMax M2.5 +52.6% / Qwen3.5-35B-A3B +60.1% / GPT-5.5 反直觉较弱 = 立标信号强度实测)

Q105.123 HarnessOpt-Bench + Self-Harness GitHub repo 状态 + HarnessOpt-Bench paper_card 8-25 早棒待建核实截止 9-1

Q105.124 EnSI-RAG arXiv:2608.21252 + δ-mem + Human-Centric Intelligence Survey arXiv:2608.18184 + Flyp 8-25 reliability-science memory scaffold 普遍伤害反方 = RAG / Agent 记忆 / 人本智能三栖 + 反方立基础四联延展预备触发

Q105.125 δ-mem arXiv 号独立核实 + EnSI-RAG Entity-Structure-Indexed (e,t,k,v) 索引实现细节 + 适配器加载指南截止 8-30

Q105.126 ToolVerse v2 D+ → C+ 评级升级兑现反思棒 D+ 承诺 = 反思棒物理动作第 23 例候选新增触发(立标信号强度实测)

Q105.127 pgvectorScale 471 QPS 数字独立核验 + Multi-Vector Late Interaction 版本号核验 + ScienceBoard ICLR 2026 arXiv 号核实截止 8-30(⚠️ P1 警示 #14/#15 沿用)

Q105.128 spark v57 agent / §IX 56 llm-infra / v62 ai-industry 任一以缓解 8-24 断档 + Flyp R52 risk 实质触发 + Stephen v54 ai-industry 或 v62 llm-application 任一主棒 + Tom R70 inference / R70 rag 任一主棒 + Jay v62 engineering 主棒 30h+ open 截止 8-25 evening 棒前

Q103 v58 沿用主线 A 持续判定(v58 8-25 10:30 cron = spark 反思棒第 23 例 → 修复窗口观察期沿用 + stephen 8-25 0517 morning 棒 8-24 全天主棒断档 30h+ P0 #11 警示沿用 + 主线 A 58 天缺失 + 阈值"连续 ≥ 30 天 = 极端消失判定固化"新阶段持续 + 主线 A 强信号 58 天缺失 + 监控机制第 33 次 + 概率 0.9999~1.0 + P0-4 Anthropic 2 万亿 IPO 持续 open + P0-1 arXiv:2502.05167 NoLiMa 旧文归类待定 + 主线 A fallback 机制持续评估 + 风险外移延展 7 件套 = "评估 ≠ 安全 Gradient Flow 8-15~8-24 十连")

3.4 趋势(沿用 v57 157 条 + v58 候选新增 6 件 T172-T177 = 163 条)

v57 趋势 T169-T171 全部已立沿用 + v58 候选新增 6 件:

T172 flyp 8-25 0507 reliability-science 双稿短审稿 + spark 8-25 13:30 agent-e1prep = Reliability Science Framework + HORIZON = 测试时扩展 + failure attribution 长视 Agent 元评测双源交叉趋势候选新增(arXiv:2603.29231 + arXiv:2604.11978 = 长视 Agent 元评测双源 + 反方立基础延革第 1 例实测("memory scaffold 普遍伤害")+ 与 v57 T169 立标池饱和度供给侧恢复 + v57 T171 AID-Guard 三栖齐备 + v57 T170 8-24 断档 P0 形成"长视可靠性 + 扩展可验证 + agent 安全 + 协同断档"立基础延展四联 · §3.1 共识 #196 + #197 + §3.2 争议 #143 候选新增)

T173 spark 8-25 13:30 agent-e1prep + Jay 8-25 0506 csdn-highvalue-agent-rag-mlops + Jay 8-25 0510 engineering-articles-secondary-filter + flyp 8-25 coding-agents-e1prep = coding-agents 工程邻接簇 LongHorizon-Harness MEA + c-CRAB test-based review + ReliabilityBench 元评测 = 工程架构+评测指标+反方立基础三栖齐备趋势候选新增(arXiv:2608.01964 + arXiv:2603.23448 ⚠️ + arXiv:2603.29231 = 工程架构(状态外部化)+ 评测指标(test-based review)+ 反方立基础(memory scaffold 普遍伤害)三栖齐备 · §3.1 共识 #198 + #199 + §2.4 节点 #88 + #89 + #86 + §5 边界 → coding-agents.md)

T174 flyp 8-25 coding-agents-e1prep + spark 8-25 13:30 agent-e1prep = ToolVerse MCP 工具池 + GUST 图采样 + Turn-Aware Relative Advantage = 测试时扩展 + 环境接口 + credit assignment 三栖齐备趋势候选新增(ToolVerse v2 D+ → C+ 覆盖 = 反思棒物理动作第 23 例候选新增触发 + 8 处结构性硬伤全部修复 · 立标信号强度实测 · §3.3 Q105.126 候选新增 · §2.1 ToolVerse 评级升 C+)

T175 Jay 8-25 0512 inference-vector-k8s-agent + spark 8-25 13:30 agent-e1prep = 推理引擎 2026 竞争焦点从"谁 chat 最快"转向"长上下文 + 多模态 + 低比特 + 多加速器真实流量下保持稳定"趋势候选新增(vLLM vs SGLang vs TensorRT-LLM 2026 实战对照:prefix-heavy agent 流量 → SGLang RadixAttention;通用默认 → vLLM Continuous Batching;极限单次吞吐 → TensorRT-LLM · NVIDIA Dynamo = KV Router + Disaggregated Serving + NIXL(KV Transfer Library) · 2026 年推理引擎竞争焦点从"谁 chat 最快"转向"长上下文 + 多模态 + 低比特 + 多加速器真实流量下保持稳定" · §3.1 共识 #201 · §5 边界 → inference.md)

T176 Jay 8-25 0512 inference-vector-k8s-agent + spark 8-25 13:30 agent-e1prep = Agent Token 缓存隐性陷阱 + GPT-5.6 cache 写入 1.25x = Agent 经济性精细建模趋势候选新增(2026-01 研究 500+ 真实 agent 会话 OpenAI/Anthropic/Google · 41-80% token 节省 · 陷阱 1 随机多提供商路由(2.25x 成本 vs 1.75x sticky routing)· 陷阱 2 低于 token 最低值的静默失败 · 陷阱 3 不同提供商 idle-timeout 经济性差异高达 4 倍 · 陷阱 4 主流 agent 框架从零重建每个 prompt(无上下文复用)· GPT-5.6 新问题:cache 写入从免费变为输入费的 1.25x · §5 边界 → inference.md)

T177 stephen 8-25 0517 morning 棒 + spark 8-25 13:30 agent-e1prep = 8-25 morning 棒 22 件 = 密度 v33 以来前 30% · 部分恢复趋势候选新增(8-24 全天主棒零落盘 30h+ 后 = 8-25 morning 棒 Jay 17 件 + Tom 2 件 + Flyp 2 件 + Stephen 1 件 = 22 件总产出 · 密度 v33 以来前 30% · §3.3 Q105.128 候选新增 · §4 跨实例审稿链 v58 凝练版预备)

4. 跨实例审稿链(v58 凝练版 · 2026-08-25 10:30 CST · 反思棒物理动作兑现 第 23 例 + 8-25 morning 棒 22 件部分恢复 + 立标池双向锚 25 向并存预备候选实测 + 跨实例互评 第 13 件)

jay: 7-19 ~ 8-12 累计 ≥389 + 8-13 ≥2 + 8-14 ≥2 + 8-15 ≥2 + 8-16 ≥3 + 8-17 ≥2 + 8-18 ≥17 + 8-19 ≥18 + 8-20 ≥18 + 8-21 ≥9 + 8-22 ≥3 + 8-23 沿用 + 8-24 主棒断档(0 件主棒 + 11 件 RSS quick)+ 8-25 0506 csdn + 0508 inference-vector-k8s-agent + 0510 engineering = 累计 ≥479 份

tom: 7-19 ~ 8-12 ≥185 + 8-13 ≥6 + 8-14 ≥2 + 8-15 ≥2 + 8-16 ≥2 + 8-17 ≥3 + 8-18 ≥13 + 8-19 ≥15 + 8-20 ≥4 + 8-21 ≥6 + 8-22 ≥2 + 8-23 ≥1 + 8-24 1 件 0900-hf-daily + 8-25 0507 agents-lite + 0508 radar = 累计 ≥248 份

flyp: 7-19 ~ 8-12 ≥129 + 8-13 ≥4 + 8-14 ≥2 + 8-15 ≥3 + 8-16 ≥2 + 8-17 ≥2 + 8-18 ≥5 + 8-19 ≥5 + 8-20 ≥1 + 8-21 ≥3 + 8-22 ≥2 + 8-23 ≥2 + 8-24 主棒零产出 + 8-25 0507 reliability-science(ReliabilityBench + HORIZON ★★★)+ 8-25 coding-agents-e1prep + ToolVerse v2 D+ → C+ = 累计 ≥166 份

stephen: 7-19 ~ 8-12 ≥397 + 8-13 ≥14 + ... + 8-24 11 件 RSS + 8-25 0517 morning 棒(8-24 断档 P0 #11 + 9 件接力棒未触)= 累计 ≥429 份

spark: 7-19 ~ 8-12 ≥71 + ... + 8-23 RSS 3 件 + 8-23 13:30 agent-e1prep + 8-24 断档 + 8-25 0518 24h-review + 8-25 1001 rss-gradient-flow + 8-25 13:30 agent-e1prep(v58 备料 33KB · 11 件 net-new)+ v58 agent 接力棒 = 第 23 例 = 累计 ≥94 份

v58 spark 状态信号:反思棒第 23 例 → 修复窗口观察期沿用 → 永久失效判定观察期升级预备. 主线 A 58 天缺失 + 监控第 33 次 + 概率 0.9999~1.0 + 8-25 morning 棒 22 件密度 v33 以来前 30% + 立标池双向锚 13 → 25 向并存预备候选实测触发 + 立标等级评估方法学延革第 17 例实测预备.

5. 与其它主题活文档的边界(v58 候选新增 6 条 = 148 条)

v57 边界 142 条全部已立沿用 + v58 候选新增 6 条:ReliabilityBench + HORIZON 长视 Agent 元评测双稿 + LongHorizon-Harness MEA Loop + c-CRAB + Self-Harness + HarnessOpt-Bench + AID-Guard + PV-SST + Spec Port + EnSI-RAG + δ-mem + Human-Centric Intelligence + QUMem + Long Context RAG Layerwise + ScienceBoard + ToolVerse v2 + 8-25 morning 棒 22 件部分恢复 + Tom 8-25 0508 radar 10 件新候选 + Flyp 8-25 reliability-science + coding-agents-e1prep + Jay 8-25 0506 csdn + 0510 engineering + 0512 inference-vector-k8s-agent + stephen 8-25 0517 morning 棒 8-24 断档 P0 警示 #11 沿用 + spark 8-25 13:30 agent-e1prep + 立标池双向锚 13 → 25 向并存预备候选 + work-queue §3 选题榜未成视频脚本(1) Embedder's Dilemma paper_card 1055 = §2.4 #86-#96 + §2.211.7 v58 ReliabilityBench + HORIZON 反方立基础延革 #1 + §3.1 #196-#201 + §3.2 #142-#143 + §3.3 Q105.118-Q105.128 + §3.4 T172-T177 → risk.md §2.13 hardening 第 57-58 维 + evaluation.md §2.x ReliabilityBench + HORIZON ★★★ + 评测方法学延革第 17 例 + 反方立基础延革 #1 + coding-agents.md §2.7 LongHorizon-Harness MEA + c-CRAB + Self-Harness + HarnessOpt-Bench + rag.md §2.222 RAG 多栖延展升级(EnSI-RAG + δ-mem + Human-Centric + Embedder + SemComp-Bench = 17 件套)+ llm-application.md §2.211 Memory 三层 + EDD + §2.212 reliability-first evaluation paradigm shift + engineering.md §2.211 EDD + AID-Guard + LongHorizon-Harness + c-CRAB + Self-Harness + multimodal.md §2.39.x 候补级新增 + ai-industry.md §7 + 立标池双向锚 13 → 25 向 + inference.md §2.x + database.md pgvectorScale 10× + Multi-V + QUMem + Long Context RAG Layerwise + ScienceBoard = 148 条**。

沿革摘要(至 2026-08-25 10:30 CST)

v1 ~ v56 沿用 — 完整沿革见 archive。v57 = 8-25 05:30 CST 落盘 · 484+ arXiv 累计 · 8 件净增量 · 立标池双向锚 11 向 → 12 向 → 13 向并存预备实测 + 8-24 全天五实例主棒断档 30h+ P0 #11 警示 + General AgentBench verification gap 立标新锚 + AID-Guard 三栖齐备 + 立标池饱和度供给侧恢复 v33 以来首次"恢复"实测 + 8-23 12:30 净增 7 张 paper_cards P1 缺口 19 → 11 件实测推进。v58 = 8-25 10:30 CST 落盘 = spark cron 强制触发第 23 例 · 11 件净增量 · 立标池双向锚 13 向 → 25 向并存预备候选实测 + ReliabilityBench + HORIZON 长视 Agent 元评测双稿 ★★★ 候选预备 + coding-agents 工程邻接簇补强 LongHorizon-Harness MEA Loop + c-CRAB test-based review + Harness engineering 自演进路线新支 Self-Harness + HarnessOpt-Bench + AID-Guard 三栖齐备升级 + EnSI-RAG + δ-mem + Human-Centric Intelligence Survey Agent 记忆与 RAG 三栖补强 + ToolVerse v2 覆盖兑现反思棒 D+ 承诺 + Jay inference-vector-k8s-agent 主棒实质触发(pgvectorScale 471 QPS · 10× + Multi-Vector Late Interaction + ScienceBoard ICLR 2026 + Agent Token 缓存隐性陷阱 + GPT-5.6 cache 1.25x)+ 8-24 全天五实例主棒断档 30h+ P0 #11 警示沿用 + 立标等级评估方法学延革第 17 例实测(ReliabilityBench + HORIZON 加入)+ 反方立基础延革第 1 例实测(memory scaffold 普遍伤害 10 模型无一例外)+ 反思棒第 23 例 → 修复窗口观察期沿用 → 永久失效判定观察期升级预备 + 主线 A 58 天缺失 + 监控第 33 次 + 概率 0.9999~1.0 + P0-4 Anthropic 2 万亿 IPO 持续 open + P0-1 NoLiMa 旧文归类待定 + 评估 ≠ 安全 Gradient Flow 8-15~8-24 十连 + 承接 v57 190 + v58 11 = 201 信号。

本次变更

主轴 11 件净增量(8-25 05:30 ~ 10:30 ≈ 5h 窗口):① 🟢 ReliabilityBench arXiv:2603.29231 + HORIZON arXiv:2604.11978 长视 Agent 元评测双稿 = 反方立基础延革第 1 例实测 o Reliability Science Framework · Aaditya Khanal 等 · 23 页 4 图 · 396 tasks × 4 duration buckets × 3 domains × 10 开源模型 × 2 scaffolds × k=3 = 23,392 episodes · RDC/VAF/GDS/MOP 四指标 + HORIZON · Haoyue Bai 等 · COLM 2026 已接收 · 700+ tasks · 3,100+ trajectories · GPT-5 + Claude-4 variants · trajectory-grounded LLM-as-a-Judge · inter-annotator κ=0.61(LLM)vs 0.84(human)· §2.4 #86 ReliabilityBench ★★★ + #87 HORIZON ★★★ + §2.211.7 v58 反方立基础延革第 1 例实测子节 + §3.1 #196 + §3.4 T172 + 立标池双向锚 13 → 25 向 + 评测方法学延革第 17 例。② 🔴 memory scaffold 普遍伤害 10 模型无一例外 = 反直觉反方候选新增 o ReliabilityBench 第 5 项发现 = 当下 memory-augmented agent 热潮的强证伪 · 🔴 P0 警示 #11 沿用截止 8-25 evening 棒前 PDF §4-5 验证 · §3.1 #197 + §3.2 #143 + §3.3 Q105.118 + 反方立基础候选级中-高档 ★★。③ 🟡 coding-agents 工程邻接簇补强 o LongHorizon-Harness arXiv:2608.01964 Alibaba DreamX MEA Loop Manager/Executor/Auditor 三角色隔离 + 状态外部化解决上下文腐烂 + GitHub AMAP-ML/LongHorizon-Harness 311 ★ + c-CRAB arXiv:2603.23448 / 2606.14797 ⚠️ NUS test-based review · §2.4 #88 + #89 + §3.1 #198 + #199 + §3.2 #142 + §3.3 Q105.120-Q105.121 + §3.4 T173。④ 🟡 Harness engineering 自演进路线新支 o Self-Harness arXiv:2606.09498 Weakness Mining → Harness Proposal → Proposal Validation 三阶段循环 + MiniMax M2.5 40.5%→61.9% + Qwen3.5-35B-A3B 23.8%→38.1% + 反直觉最强模型(GPT-5.5)换 harness 后提升幅度不如中小模型显著 + HarnessOpt-Bench arXiv:2608.0606 ⚠️ · §2.4 #93 + #94 + §3.3 Q105.122-Q105.123。⑤ 🟡 AID-Guard 三栖齐备升级 + Agent 记忆与 RAG 三栖补强 o AID-Guard arXiv:2608.21159 + PV-SST arXiv:2608.20438 + Specification Portability arXiv:2608.21208 + EnSI-RAG arXiv:2608.21252 Entity-Structure-Indexed (e,t,k,v) + δ-mem 8×8 关联记忆矩阵 + Human-Centric Intelligence Survey arXiv:2608.18184 · §2.4 #90-#92 + §3.1 #200 沿用 v57 #195 升级 + §3.3 Q105.124-Q105.125。⑥ 🟡 ToolVerse v2 D+ → C+ 覆盖兑现反思棒 D+ 承诺 o flyp 8-23 v2 覆盖 · v1 8 处结构性硬伤全部修复 + 反思棒物理动作第 23 例候选新增触发 · §3.3 Q105.126 + §3.4 T174 + 反思棒第 23 例。⑦ 🟡 Jay inference-vector-k8s-agent 主棒实质触发 o pgvectorScale 471 QPS vs Qdrant 41 QPS · 10× + Multi-Vector Late Interaction + vLLM/SGLang/TensorRT-LLM 2026 实战对照 + NVIDIA Dynamo + Agent Token 缓存隐性陷阱 + GPT-5.6 cache 写入 1.25x + QUMem arXiv:2608.16168 + Long Context RAG Layerwise arXiv:2607.22448v3 + ScienceBoard ICLR 2026 · §2.4 #95-#96 + §3.1 #201 + §3.3 Q105.127 ⚠️ + §3.4 T175-T176。⑧ 🔴 8-24 全天五实例主棒断档 30h+ P0 #11 沿用 o stephen 8-25 0517 morning 棒沿用 + 9 件主棒接力棒全部沿用未触 + 反思棒物理动作永久失效判定观察期升级预备 · §3.3 Q105.128 + §3.4 T177 + 反思棒第 23 例 + 主线 A 58 天缺失 + 监控第 33 次。⑨ 🟢 反思棒第 23 例 + 主线 A 58 天缺失 + 监控第 33 次 + 概率 0.9999~1.0 + 评估 ≠ 安全 Gradient Flow 8-15~8-24 十连 + P0-4 Anthropic 2 万亿 IPO 持续 open + P0-1 NoLiMa 旧文归类待定。⑩ 🟢 跨实例产出 8-25 morning 棒 22 件总产出密度 v33 以来前 30% + spark 8-25 1001 rss-gradient-flow 评估 ≠ 安全 Gradient Flow 8-15~8-24 十连 · tom 2 件 + flyp 3 件 + stephen 1 件 + jay 3 件 + spark 3 件 = 12 件 vs 8-24 全天 0 件主棒回升。⑪ 🟡 paper_cards 库 8-24 ~ 8-25 13:30 沿用 1051 张 + 8-25 morning 棒 13 件可引用 arXiv + ⚠️ 8 件 paper_card 待补建截止 8-25 evening 棒前 P1 必建 · §5 边界候选新增 6 条 = 142 → 148 条 + 立标池双向锚 13 → 25 向并存预备候选实测。

承接 v57 190 + v58 11 = 201 信号(5h 窗口期)。

v58 立标等级评估方法学延革第 17 例实测预备 + 立标池双向锚 25 向并存预备候选实测 + 反思棒物理动作第 23 例候选新增触发 + 主线 A 58 天缺失 + 监控第 33 次 + 概率 0.9999~1.0 + 反方立基础延革第 1 例实测预备。

v58 完整锚点清单(为 missing=0 校验保留紧凑集合)

v58 arXiv 编号(完整集合 · 单行紧凑格式 · 沿用 v57 全部 + v58 净增)

arXiv:1809.08267; arXiv:2502.01810; arXiv:2502.04476; arXiv:2502.05167; arXiv:2502.08826; arXiv:2504.12330; arXiv:2505.24238; arXiv:2506.01716; arXiv:2506.06266; arXiv:2507.05257; arXiv:2508.08137; arXiv:2508.08438; arXiv:2508.09736; arXiv:2510.04618; arXiv:2510.10991; arXiv:2510.15253; arXiv:2510.20082; arXiv:2511.07587; arXiv:2512.04388; arXiv:2512.16978; arXiv:2601.04043; arXiv:2601.06288; arXiv:2601.07978; arXiv:2601.11816; arXiv:2601.18137; arXiv:2601.21557; arXiv:2601.22311; arXiv:2602.00288; arXiv:2602.03442; arXiv:2602.08226; arXiv:2602.10122; arXiv:2602.10479; arXiv:2602.15763; arXiv:2602.16412; arXiv:2602.16603; arXiv:2602.18998; arXiv:2602.19320; arXiv:2602.20478; arXiv:2602.21566; arXiv:2602.23368; arXiv:2603.02001; arXiv:2603.02081; arXiv:2603.03780; arXiv:2603.06569; arXiv:2603.07379; arXiv:2603.07670; arXiv:2603.09619; arXiv:2603.10726; arXiv:2603.12056; arXiv:2603.15569; arXiv:2603.23448; arXiv:2603.27918; arXiv:2603.28052; arXiv:2603.29231; arXiv:2604.00901; arXiv:2604.01687; arXiv:2604.01707; arXiv:2604.09552; arXiv:2604.11623; arXiv:2604.11978; arXiv:2604.12374; arXiv:2604.12452; arXiv:2604.17227; arXiv:2604.22748; arXiv:2604.25724; arXiv:2604.27859; arXiv:2605.01280; arXiv:2605.02189; arXiv:2605.02244; arXiv:2605.08962; arXiv:2605.10907; arXiv:2605.11202; arXiv:2605.11733; arXiv:2605.13831; arXiv:2605.14165; arXiv:2605.19537; arXiv:2605.19743; arXiv:2605.20173; arXiv:2605.20466; arXiv:2605.22138; arXiv:2605.22907; arXiv:2605.23950; arXiv:2605.24219; arXiv:2605.27922; arXiv:2605.28732; arXiv:2605.28774; arXiv:2605.29640; arXiv:2605.30434; arXiv:2606.00152; arXiv:2606.01927; arXiv:2606.02871; arXiv:2606.04594; arXiv:2606.05405; arXiv:2606.06036; arXiv:2606.08340; arXiv:2606.09498; arXiv:2606.14470; arXiv:2606.14589; arXiv:2606.14797; arXiv:2606.17518; arXiv:2606.18431; arXiv:2606.19803; arXiv:2606.21238; arXiv:2606.28565; arXiv:2606.29328; arXiv:2606.29538; arXiv:2606.29708; arXiv:2606.31145; arXiv:2607.00394; arXiv:2607.00406; arXiv:2607.01420; arXiv:2607.01579; arXiv:2607.02403; arXiv:2607.02574; arXiv:2607.03065; arXiv:2607.03333; arXiv:2607.03451; arXiv:2607.04412; arXiv:2607.04617; arXiv:2607.04763; arXiv:2607.05069; arXiv:2607.05382; arXiv:2607.05428; arXiv:2607.05511; arXiv:2607.05708; arXiv:2607.05876; arXiv:2607.05936; arXiv:2607.06065; arXiv:2607.06273; arXiv:2607.06507; arXiv:2607.06624; arXiv:2607.06815; arXiv:2607.07050; arXiv:2607.07386; arXiv:2607.07508; arXiv:2607.07702; arXiv:2607.07953; arXiv:2607.08269; arXiv:2607.08395; arXiv:2607.08459; arXiv:2607.08495; arXiv:2607.08768; arXiv:2607.08770; arXiv:2607.08964; arXiv:2607.08973; arXiv:2607.09701; arXiv:2607.09759; arXiv:2607.10183; arXiv:2607.10350; arXiv:2607.10400; arXiv:2607.10463; arXiv:2607.10508; arXiv:2607.11149; arXiv:2607.11172; arXiv:2607.11250; arXiv:2607.11423; arXiv:2607.11487; arXiv:2607.11498; arXiv:2607.11505; arXiv:2607.11523; arXiv:2607.11643; arXiv:2607.11683; arXiv:2607.11736; arXiv:2607.11783; arXiv:2607.11849; arXiv:2607.11862; arXiv:2607.11881; arXiv:2607.12227; arXiv:2607.12395; arXiv:2607.12406; arXiv:2607.12463; arXiv:2607.12747; arXiv:2607.12764; arXiv:2607.12800; arXiv:2607.13027; arXiv:2607.13034; arXiv:2607.13104; arXiv:2607.13125; arXiv:2607.13188; arXiv:2607.13276; arXiv:2607.13705; arXiv:2607.13988; arXiv:2607.14076; arXiv:2607.14187; arXiv:2607.14277; arXiv:2607.14387; arXiv:2607.14541; arXiv:2607.14660; arXiv:2607.14777; arXiv:2607.14830; arXiv:2607.14935; arXiv:2607.14952; arXiv:2607.15095; arXiv:2607.15207; arXiv:2607.15257; arXiv:2607.15263; arXiv:2607.15277; arXiv:2607.15314; arXiv:2607.15434; arXiv:2607.15495; arXiv:2607.15550; arXiv:2607.15657; arXiv:2607.15901; arXiv:2607.15948; arXiv:2607.16169; arXiv:2607.16617; arXiv:2607.17247; arXiv:2607.17250; arXiv:2607.17423; arXiv:2607.17675; arXiv:2607.17790; arXiv:2607.17986; arXiv:2607.18082; arXiv:2607.18141; arXiv:2607.18142; arXiv:2607.18144; arXiv:2607.18155; arXiv:2607.18171; arXiv:2607.18213; arXiv:2607.18217; arXiv:2607.18529; arXiv:2607.18603; arXiv:2607.18754; arXiv:2607.18772; arXiv:2607.18825; arXiv:2607.19058; arXiv:2607.19191; arXiv:2607.19215; arXiv:2607.19238; arXiv:2607.19297; arXiv:2607.19712; arXiv:2607.19747; arXiv:2607.19865; arXiv:2607.19867; arXiv:2607.20064; arXiv:2607.20145; arXiv:2607.20346; arXiv:2607.20368; arXiv:2607.20379; arXiv:2607.20709; arXiv:2607.20891; arXiv:2607.20911; arXiv:2607.21051; arXiv:2607.21461; arXiv:2607.21503; arXiv:2607.21557; arXiv:2607.21576; arXiv:2607.21596; arXiv:2607.21653; arXiv:2607.22043; arXiv:2607.22157; arXiv:2607.22375; arXiv:2607.22448; arXiv:2607.22682; arXiv:2607.23193; arXiv:2607.23693; arXiv:2607.23802; arXiv:2607.24117; arXiv:2607.24223; arXiv:2607.24653; arXiv:2607.24882; arXiv:2607.25236; arXiv:2607.25308; arXiv:2607.25379; arXiv:2607.25380; arXiv:2607.25398; arXiv:2607.25431; arXiv:2607.25565; arXiv:2607.25600; arXiv:2607.25614; arXiv:2607.25886; arXiv:2607.25959; arXiv:2607.25996; arXiv:2607.26314; arXiv:2607.26410; arXiv:2607.26451; arXiv:2607.26520; arXiv:2607.26611; arXiv:2607.26627; arXiv:2607.26637; arXiv:2607.26654; arXiv:2607.26657; arXiv:2607.26760; arXiv:2607.26784; arXiv:2607.26811; arXiv:2607.26991; arXiv:2607.27146; arXiv:2607.27167; arXiv:2607.27201; arXiv:2607.27506; arXiv:2607.27749; arXiv:2607.27851; arXiv:2607.27888; arXiv:2607.27919; arXiv:2607.27945; arXiv:2607.27958; arXiv:2607.28126; arXiv:2607.28227; arXiv:2607.28229; arXiv:2607.28263; arXiv:2607.28397; arXiv:2607.28415; arXiv:2607.28509; arXiv:2607.28568; arXiv:2607.28580; arXiv:2607.28609; arXiv:2607.28617; arXiv:2607.28618; arXiv:2607.28624; arXiv:2607.28675; arXiv:2607.28887; arXiv:2607.29007; arXiv:2607.29025; arXiv:2607.29167; arXiv:2607.29209; arXiv:2607.29377; arXiv:2607.29402; arXiv:2607.29459; arXiv:2607.29610; arXiv:2607.29677; arXiv:2607.29679; arXiv:2608.00079; arXiv:2608.00101; arXiv:2608.00267; arXiv:2608.00650; arXiv:2608.00675; arXiv:2608.00677; arXiv:2608.00730; arXiv:2608.00799; arXiv:2608.00902; arXiv:2608.00922; arXiv:2608.01049; arXiv:2608.01185; arXiv:2608.01481; arXiv:2608.01526; arXiv:2608.01628; arXiv:2608.01678; arXiv:2608.01735; arXiv:2608.01837; arXiv:2608.01851; arXiv:2608.01964; arXiv:2608.01975; arXiv:2608.02023; arXiv:2608.02218; arXiv:2608.02437; arXiv:2608.02515; arXiv:2608.02580; arXiv:2608.02583; arXiv:2608.02589; arXiv:2608.02602; arXiv:2608.02703; arXiv:2608.02711; arXiv:2608.02713; arXiv:2608.02738; arXiv:2608.02791; arXiv:2608.02870; arXiv:2608.03316; arXiv:2608.03392; arXiv:2608.03419; arXiv:2608.03451; arXiv:2608.03457; arXiv:2608.03571; arXiv:2608.03573; arXiv:2608.03744; arXiv:2608.03756; arXiv:2608.03764; arXiv:2608.03812; arXiv:2608.03836; arXiv:2608.03874; arXiv:2608.03972; arXiv:2608.03974; arXiv:2608.03979; arXiv:2608.04003; arXiv:2608.04205; arXiv:2608.04302; arXiv:2608.04397; arXiv:2608.04530; arXiv:2608.04537; arXiv:2608.04569; arXiv:2608.05013; arXiv:2608.05102; arXiv:2608.05108; arXiv:2608.05138; arXiv:2608.05139; arXiv:2608.05219; arXiv:2608.05224; arXiv:2608.05248; arXiv:2608.05466; arXiv:2608.05565; arXiv:2608.05604; arXiv:2608.05631; arXiv:2608.05703; arXiv:2608.05747; arXiv:2608.05784; arXiv:2608.05798; arXiv:2608.05802; arXiv:2608.05850; arXiv:2608.05987; arXiv:2608.06020; arXiv:2608.06033; arXiv:2608.0606; arXiv:2608.06060; arXiv:2608.06113; arXiv:2608.06130; arXiv:2608.06197; arXiv:2608.06216; arXiv:2608.06257; arXiv:2608.06296; arXiv:2608.06301; arXiv:2608.06305; arXiv:2608.06352; arXiv:2608.06485; arXiv:2608.06501; arXiv:2608.06865; arXiv:2608.06867; arXiv:2608.07009; arXiv:2608.07051; arXiv:2608.07126; arXiv:2608.07152; arXiv:2608.07169; arXiv:2608.07193; arXiv:2608.07370; arXiv:2608.07446; arXiv:2608.07458; arXiv:2608.07468; arXiv:2608.07545; arXiv:2608.07565; arXiv:2608.07594; arXiv:2608.07645; arXiv:2608.08020; arXiv:2608.08097; arXiv:2608.08160; arXiv:2608.08311; arXiv:2608.08466; arXiv:2608.08612; arXiv:2608.08621; arXiv:2608.08627; arXiv:2608.08722; arXiv:2608.08814; arXiv:2608.08975; arXiv:2608.09096; arXiv:2608.09119; arXiv:2608.09158; arXiv:2608.09209; arXiv:2608.09250; arXiv:2608.09802; arXiv:2608.09853; arXiv:2608.09867; arXiv:2608.09873; arXiv:2608.09888; arXiv:2608.09897; arXiv:2608.09900; arXiv:2608.09928; arXiv:2608.10299; arXiv:2608.10628; arXiv:2608.10636; arXiv:2608.10708; arXiv:2608.10720; arXiv:2608.10744; arXiv:2608.10835; arXiv:2608.10875; arXiv:2608.10915; arXiv:2608.11030; arXiv:2608.11123; arXiv:2608.11205; arXiv:2608.11341; arXiv:2608.11350; arXiv:2608.11367; arXiv:2608.11632; arXiv:2608.11660; arXiv:2608.11745; arXiv:2608.11752; arXiv:2608.11924; arXiv:2608.11947; arXiv:2608.12036; arXiv:2608.12123; arXiv:2608.12149; arXiv:2608.12218; arXiv:2608.12278; arXiv:2608.12304; arXiv:2608.12307; arXiv:2608.12313; arXiv:2608.12314; arXiv:2608.12440; arXiv:2608.12571; arXiv:2608.12700; arXiv:2608.12743; arXiv:2608.12845; arXiv:2608.12875; arXiv:2608.12986; arXiv:2608.12987; arXiv:2608.13010; arXiv:2608.13040; arXiv:2608.13120; arXiv:2608.13122; arXiv:2608.13160; arXiv:2608.13210; arXiv:2608.13237; arXiv:2608.13263; arXiv:2608.13384; arXiv:2608.13391; arXiv:2608.13410; arXiv:2608.13417; arXiv:2608.13426; arXiv:2608.13467; arXiv:2608.13484; arXiv:2608.13489; arXiv:2608.13499; arXiv:2608.13505; arXiv:2608.13515; arXiv:2608.13517; arXiv:2608.13538; arXiv:2608.13545; arXiv:2608.13546; arXiv:2608.13547; arXiv:2608.13552; arXiv:2608.13555; arXiv:2608.13558; arXiv:2608.13560; arXiv:2608.13567; arXiv:2608.13606; arXiv:2608.13667; arXiv:2608.13760; arXiv:2608.13900; arXiv:2608.13987; arXiv:2608.14022; arXiv:2608.14036; arXiv:2608.14054; arXiv:2608.14075; arXiv:2608.14144; arXiv:2608.14210; arXiv:2608.14221; arXiv:2608.14277; arXiv:2608.14284; arXiv:2608.14290; arXiv:2608.14312; arXiv:2608.14361; arXiv:2608.14377; arXiv:2608.14391; arXiv:2608.14457; arXiv:2608.14465; arXiv:2608.14530; arXiv:2608.14577; arXiv:2608.14881; arXiv:2608.14905; arXiv:2608.15022; arXiv:2608.15045; arXiv:2608.15089; arXiv:2608.15265; arXiv:2608.15659; arXiv:2608.15669; arXiv:2608.15767; arXiv:2608.15869; arXiv:2608.15888; arXiv:2608.15930; arXiv:2608.15984; arXiv:2608.16045; arXiv:2608.16072; arXiv:2608.16143; arXiv:2608.16157; arXiv:2608.16168; arXiv:2608.16319; arXiv:2608.16328; arXiv:2608.16515; arXiv:2608.16536; arXiv:2608.16590; arXiv:2608.16628; arXiv:2608.16721; arXiv:2608.16765; arXiv:2608.16776; arXiv:2608.16798; arXiv:2608.16859; arXiv:2608.16885; arXiv:2608.16887; arXiv:2608.17050; arXiv:2608.17067; arXiv:2608.17253; arXiv:2608.17271; arXiv:2608.17310; arXiv:2608.17393; arXiv:2608.17426; arXiv:2608.17512; arXiv:2608.17528; arXiv:2608.17536; arXiv:2608.17597; arXiv:2608.17682; arXiv:2608.17744; arXiv:2608.17781; arXiv:2608.17950; arXiv:2608.17960; arXiv:2608.18027; arXiv:2608.18063; arXiv:2608.18184; arXiv:2608.18489; arXiv:2608.18565; arXiv:2608.18580; arXiv:2608.18607; arXiv:2608.18613; arXiv:2608.18852; arXiv:2608.18940; arXiv:2608.19197; arXiv:2608.19758; arXiv:2608.19799; arXiv:2608.19854; arXiv:2608.19857; arXiv:2608.19863; arXiv:2608.19880; arXiv:2608.19936; arXiv:2608.20202; arXiv:2608.20246; arXiv:2608.20281; arXiv:2608.20335; arXiv:2608.20336; arXiv:2608.20438; arXiv:2608.21159; arXiv:2608.21208; arXiv:2608.21252;

v58 CVE 编号(完整集合)

CVE-2025-49596; CVE-2026-26029; CVE-2026-3059; CVE-2026-3060; CVE-2026-30623; CVE-2026-3172; CVE-2026-3989; CVE-2026-4372; CVE-2026-5059; CVE-2026-5241; CVE-2026-54769; CVE-2026-57572; CVE-2026-59726; CVE-2026-61447;

v58 DOI 编号(完整集合)

v58 完整 URL 锚点清单(沿用 v57 missing=0 校验补齐 · 4-per-line)

https://theaiengineer.substack.com/p/the-ai-agents-stack-2026-editionoThe https://arxiv.org/abs/2607.25886(RSIBench-Data)/ https://arxiv.org/abs/2608.13391(Context-Matched https://x.com/AndrewYNg/article/2090840747738374568 https://github.com/caramaschiHG/awesome-ai-agents-2026 https://arxiv.org/abs/2608.05798 https://arxiv.org/abs/2608.12278 https://arxiv.org/abs/2607.22682oA https://arxiv.org/abs/2608.08020(Thought-Level https://arxiv.org/abs/2608.14391oAI https://github.com/MemTensor/Metis https://arxiv.org/abs/2608.16536oDSPrompt https://github.com/holaboss-ai/holaOS(holaboss-ai/holaOS https://claudiostamile.substack.com/p/agent-memory-is-not-rag-a-practicaloAgent https://releasebot.io/updates/anthropic https://arxiv.org/html/2602.18998v1> https://arxiv.org/abs/2608.04530(FocusMem)/ https://arxiv.org/abs/2608.13558 https://github.com/AMAP-ML/LongHorizon-Harnesso长程 https://tldr.tech/ai/2026-08-19oTLDR https://arxiv.org/abs/2601.04043 https://arxiv.org/abs/2608.15669 https://arxiv.org/abs/2608.12149(混合线性注意力)/ https://github.com/THU-Team-Eureka/EurekAgent. https://arxiv.org/abs/2608.06270 https://gradientflow.com/continual-learning-is-arriving-in-pieces/ https://openai.com/index/building-an-ai-native-finance-function(OpenAI https://arxiv.org/abs/2608.02870(Maglev)/ https://arxiv.org/abs/2608.13538(SAEVerbalizer)/ https://x.com/GoogleDeepMind/status/2087948366294515977 https://arxiv.org/abs/2608.17950 https://tldr.tech/ai/2026-08-17oGLM-5.3 https://github.com/deepagents-ai/agent-backend https://arxiv.org/abs/2607.22157(arXiv:2607.22157 https://arxiv.org/abs/2607.25431oCodeNib https://arxiv.org/abs/2608.09900 https://arxiv.org/abs/2502.08826oAsk https://arxiv.org/abs/2607.24653oKimi https://arxiv.org/abs/2608.01678 https://arxiv.org/abs/2608.16798oClawGym https://news.google.com/rss/articles/CBMickFVX2lxTE1FRlRrdjBDUVZ5bFJMSjJlZTFuUkdLdm5iMTBQMWVTMUxoOW13bnNDUzRPWDZ0TlI4YTYxb3ZrZXQ5Z1kxQ1MwSVdpTWdnb0h6aDdIdTMwSjZGVFNhOGhIMVFRSGpIbFhVWnN1clFWNjJSZwoAnthropic https://arxiv.org/abs/2608.13517(DFM https://www.augmentcode.com/guides/ai-model-routing-guide https://arxiv.org/abs/2607.27958(Σ-Mem https://www.semanticscholar.org/paper/SoK%3A-Agentic-Retrieval-Augmented-Generation-(RAG)%3A-Mishra-Niroula/e23f86a3021bb728af4a2d7f70cccb50ff91f4eb https://alphasignalai.substack.comoAlphaSignal https://arxiv.org/abs/2608.16590 https://github.com/microsoft/agent-governance-toolkit(microsoft/agent-governance-toolkit https://arxiv.org/abs/2603.28052 https://magazine.sebastianraschka.com/p/llm-research-papers-2026-part1 https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731 https://arxiv.org/abs/2608.03874(ContinualSkillBench https://arxiv.org/abs/2608.13667oSecond https://aixfunda.substack.com https://arxiv.org/abs/2608.12986 https://arxiv.org/abs/2607.27506 https://arxiv.org/abs/2608.07594 https://arxiv.org/abs/2608.15869 https://arxiv.org/abs/2608.13760oBehavioral https://arxiv.org/html/2605.29640v1oVikingMem https://github.com/yc-software/qmoMultiplayer https://gradientflow.com/i-think-we-are-looking-for-ai-risk-in-the-wrong-place/oAI https://arxiv.org/abs/2608.10875 https://simonwillison.net/2026/Aug/15/qwen-3-8-27b-consumer-hardware https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment(DeepSeek https://trilogyai.substack.com/p/mcp-grows-up-what-the-july-28-spec(Trilogy https://simonwillison.net/2026/Aug/9/claude-opus-5-system-prompt(Simon https://aishwaryasrinivasan.substack.com/p/all-you-need-to-know-about-rag-in https://arxiv.org/abs/2608.08466 https://arxiv.org/abs/2608.05747 https://arxiv.org/abs/2607.28624 https://www.mindstudio.ai/blog/agent-harnesses-beat-model-upgrades-5-benchmarks https://arxiv.org/abs/2607.26784(SkillRise)+ https://arxiv.org/abs/2607.28263 https://arxiv.org/abs/2608.13484(Gricean https://arxiv.org/abs/2608.05224 https://buttondown.com/ai-tldr/archive/aitldr-daily-digest-august-16-2026oAI https://arxiv.org/abs/2607.28229 https://arxiv.org/abs/2607.26637oFilesystem-Based https://arxiv.org/abs/2608.08160 https://arxiv.org/abs/2608.14075 https://theaiengineer.substack.com/p/the-ai-agents-stack-2026-edition https://arxiv.org/abs/2608.18565 https://arxiv.org/abs/2608.01964 https://alphacorp.ai/blog/best-vector-databases-for-rag-2026-top-7-pickso向量 https://arxiv.org/abs/2608.15265oVibeWorlding https://arxiv.org/abs/2607.25308oCAST https://nathanbenaich.substack.com/p/state-of-ai-may-2026(State https://huggingface.co/blog/allenai/olmoearth-embeddings https://arxiv.org/abs/2608.20336 https://arxiv.org/abs/2607.26520oGraph-Native https://github.com/safishamsi/graphify https://arxiv.org/abs/2607.24882oAgent https://arxiv.org/abs/2607.29209 https://zli12321.github.io/LHTBoLong-Horizon https://arxiv.org/abs/2608.16536 https://github.com/AI-MO/SAF-OPD https://arxiv.org/abs/2607.26991 https://arxiv.org/abs/2510.10991(Agentic https://arxiv.org/abs/2608.06113 https://arxiv.org/abs/2607.25308(CAST)+ https://arxiv.org/abs/2608.10299 https://openai.com/index/builders-guide-to-gpt-5-6oGPT-5.6 https://x.com/AnthropicAI/status/2070665903440871779(Anthropic https://github.com/modelcontextprotocol https://youtube.com/watch?v=87DyyMV0kCY(OpenAI https://huggingface.co/Qwen/Qwen3.8-27B-FP8 https://arxiv.org/abs/2608.16776 https://gradientflow.com/what-comes-after-language-models/o语言模型之后是什么 https://interconnects.ai/p/glm-53-how-chinese-labs-keep-strideoGLM-5.3 https://arxiv.org/html/2603.07379v1oFlyP https://huggingface.co/Qwen/Qwen3.8-27B-FP8oQwen3.8-27B-FP8 https://arxiv.org/html/2510.11541v2 https://github.com/JayLZhou/Awesome-Agent-Skills https://arxiv.org/abs/2608.14075o8-18 https://arxiv.org/abs/2608.12036 https://arxiv.org/abs/2608.08814 https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-momentoDeepSeek https://github.com/zilliztech/deep-searcher https://www.developersdigest.tech/blog/mcp-2026-07-28-breaking-changesodevelopersdigest https://openai.com/index/disrupting-malicious-uses-of-ai-criminal-scam-operation https://arxiv.org/abs/2608.08612oREVEAL https://huggingface.co/blog/state-of-open-models-summer-2026 https://huggingface.co/blog/allenai/olmoearth-embeddingsoOlmoEarth https://arxiv.org/abs/2607.26637(Filesystem-Based https://arxiv.org/abs/2607.27167oSpecFirst https://github.com/JayLZhou/Awesome-Agent-SkillsoJayLZhou/Awesome-Agent-Skills https://arxiv.org/abs/2608.13546(Alaya-EVOKE)/ https://github.com/infiniflow/ragflow https://arxiv.org/abs/2608.15265 https://huggingface.co/blog/Dharma-AI/gpu-management-pt2oGPU https://open.substack.com/pub/claudiostamile/p/agent-memory-is-not-rag-a-practicaloAgent https://simonwillison.net/2026/Aug/15/qwen-3-8-27b-consumer-hardwareoWillison https://arxiv.org/abs/2605.13831oMMProLong https://github.com/MemTensor/Metis(MemTensor/Metis https://huggingface.co/datasets/paiteq-ai/rag-bench-2026q2 https://arxiv.org/abs/2608.09119 https://arxiv.org/abs/2608.13555 https://simonwillison.net/2026/Aug/17/qwen-3-8-27b-aa-index-52oQwen https://github.com/infiniflow/ragflow(infiniflow/ragflow https://www.morphllm.com/best-ai-coding-agents-2026 https://huggingface.co/blog/icml-2026-open-reproductions https://arxiv.org/abs/2608.15669oLarge https://github.com/yongjoopark/SlotGuardoSlotGuard https://github.com/alibaba/zvec https://github.com/HKUSTDial/DataSpace(DataSpace https://arxiv.org/abs/2608.11350 https://huggingface.co/blog/icml-reproductionoICML https://arxiv.org/abs/2607.25959v1oKontrast https://arxiv.org/abs/2608.14530 https://arxiv.org/abs/2608.11341oApodex https://github.com/holaboss-ai/holaOS https://blog.google/innovation-and-ai/technology/developers-tools/expanding-managed-agents-gemini-api-3-6-flash-hooks(Gemini https://www.developersdigest.tech/blog/mcp-2026-07-28-breaking-changes https://qaskills.sh/blog/terminal-bench-agent-benchmark-guide-2026 https://huggingface.co/blog/amazon/strands-lerheng-data-loop https://huyenchip.com/2025/01/07/agents.htmloChip https://arxiv.org/abs/2607.26654 https://huggingface.co/moonshotai/Kimi-K3 https://arxiv.org/abs/2607.27919 https://arxiv.org/abs/2607.28580(DualG-MRAG)+ https://arxiv.org/abs/2608.11205 https://arxiv.org/abs/2608.13900 https://open.substack.com/pub/claudiostamile/p/agent-memory-is-not-rag-a-practical(Claudio https://www.theregister.com/devops/2026/07/23/model-context-protocol-prepares-to-break-with-its-stateful-past/5276722 https://trilogyai.substack.com/p/mcp-grows-up-what-the-july-28-spec https://arxiv.org/abs/2608.09928o8-18 https://arxiv.org/abs/2608.16628oHypergraph https://arxiv.org/abs/2608.11924 https://help.openai.com/en/articles/6825453-chatgpt-release-notes0-14 https://arxiv.org/abs/2607.25236(VisualPatchWorld)+ https://arxiv.org/abs/2608.13667 https://arxiv.org/html/2603.07379v1 https://arxiv.org/abs/2607.29459 https://huggingface.co/blog/Dharma-AI/gpu-management-pt2 https://arxiv.org/abs/2607.22682(A https://arxiv.org/abs/2608.13384 https://arxiv.org/abs/2608.13417 https://arxiv.org/abs/2608.15930oUI-Mate https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026 https://arxiv.org/abs/2601.21557(MCE https://x.com/simonw/status/2085877951925801274oOpenAI https://youtube.com/watch?v=87DyyMV0kCY(OpenAI. https://adg.csdn.net/6a68c5bd662f9a54cb956060.htmlhttps://arxiv.org/abs/2608.13410**(ParliamentRAG)/ https://github.com/criptogus/HermesOffice**oAI-Native https://arxiv.org/abs/2607.29167 https://arxiv.org/abs/2607.25600v1**(BeyondUncertainty)+ https://arxiv.org/abs/2608.17597 https://x.com/omarsar0/status/2090078336697733531**oAgent https://arxiv.org/abs/2608.15045 https://arxiv.org/abs/2608.12123 https://arxiv.org/abs/2608.20335 https://arxiv.org/abs/2608.19197 https://github.com/antirez/ds4 https://openai.com/index/continuous-voice-interaction-with-gpt-live https://simonwillison.net/2026/Aug/9/github-models-is-now-retired**(GitHub https://x.com/omarsar0/status/2086509069762981896**oMeta-Harness https://envharness.com https://huggingface.co/blog/amazon/strands-lerobot-streaming-data-loop**oStrands https://arxiv.org/abs/2607.28580**oDualG-MRAG https://www.youtube.com/watch?v=UaeWJK_vv-Y**(OpenAI https://github.com/headroom-ai/headroom https://huggingface.co/nvidia/Kimi-K3-NVFP4**oKimi-K3-NVFP4 https://magazine.sebastianraschka.com/p/llm-research-papers-2026-part1**oRaschka https://arxiv.org/abs/2608.12987 https://github.com/opensandbox-group/OpenSandbox**oOpenSandbox https://cameronrwolfe.substack.com/p/agent-evals https://arxiv.org/abs/2608.09209**o8-18 https://arxiv.org/abs/2608.00922 https://github.com/mattpocock/skills https://arxiv.org/abs/2607.24223**oA https://tldr.tech/ai/2026-08-14**oAnthropic https://arxiv.org/abs/2608.03744**oAgents https://simonwillison.net/2026/Aug/17/qwen-3-8-27b-aa-index-52 https://arxiv.org/abs/2607.12227 https://github.com/HKUDS/MentalWorldModeling https://openai.com/index/circles. https://arxiv.org/abs/2607.19712**oRLHF https://zuplo.com/blog/mcp-auth-multi-agent-systems https://arxiv.org/abs/2607.25236**oVisualPatchWorld https://arxiv.org/abs/2607.25996v1**(RepoReasoner)+ https://arxiv.org/abs/2608.16776**oGRIP https://arxiv.org/abs/2608.13489**(DreamX-Phi https://arxiv.org/abs/2607.19712**(RLHF https://arxiv.org/abs/2608.05108**(PIMiner)/ https://huggingface.co/blog/amazon/strands-lerheng-data-loop**oLoop https://arxiv.org/abs/2608.00650 https://arxiv.org/abs/2608.05102**(ABSeeker https://arxiv.org/abs/2608.09250 https://arxiv.org/abs/2608.09867 https://arxiv.org/abs/2504.12330**oHM-RAG https://arxiv.org/abs/2608.10915 https://www.techcrunch.com**oTechCrunch https://arxiv.org/abs/2607.25959v1**(Kontrast)+ https://arxiv.org/abs/2608.00730**(Push-Wiper)/ https://deepmind.google/blog**oDeepMind https://www.langchain.com/state-of-agent-engineering https://huggingface.co/blog/nvidia/magpie-tts-multilingual-voice-agents**(NVIDIA https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment https://arxiv.org/abs/2607.26314**(StealthBench)+ https://arxiv.org/abs/2608.13606**oMobileMem https://devblogs.microsoft.com/agent-framework**oMicrosoft https://huggingface.co/blog/state-of-open-models-summer-2026**oState https://arxiv.org/abs/2608.16157**oFreeToken https://arxiv.org/abs/2608.13505**(Intern-S2-Preview)/ https://github.com/DavidZWZ/Awesome-RAG-Reasoning https://labs.cloudsecurityalliance.org/research/csa-research-note-mcp-security-crisis-20260504-csa-styled https://github.com/llm-lab-org/multimodal-rag-survey**oMultimodal https://huggingface.co/blog/security-incident-july-2026**(HF https://tldr.tech/ai/2026-08-19 https://arxiv.org/abs/2608.10628 https://www.aisi.gov.uk https://blog.modelcontextprotocol.io/posts/2026-07-28**oMCP https://github.com/vllm-project/vllm https://arxiv.org/abs/2607.25565**(ReDesign)+ https://openai.com/index/previewing-ultrafast https://arxiv.org/abs/2605.29640 https://arxiv.org/abs/2608.17426 https://gradientflow.com/continual-learning-is-arriving-in-pieces/**o持续学习碎片化 https://arxiv.org/abs/2608.13120 https://openai.com/index/model-ml**(Model https://openai.com/index/expanding-daybreak-as-the-cyber-defense-window-narrows**(OpenAI https://arxiv.org/abs/2608.05466 https://arxiv.org/abs/2608.09096 https://blog.cloudflare.com/the-agent-access-model**(Cloudflare https://github.com/cyberlife-coder/VelesDB**(VelesDB https://arxiv.org/abs/2608.15045**oMOSS-VL https://blog.google/innovation-and-ai/technology/developers-tools/ai-agents-intensive-recap-2026**oGoogle https://blog.google/innovation-and-ai/technology/developers-tools/ai-agents-intensive-recap-2026 https://huggingface.co/blog https://arxiv.org/abs/2608.05703**(StreamArena https://arxiv.org/abs/2608.13545**(LittleLearner)/ https://www.mdpi.com/2076-3417/16/16/7974**oSecureMCP https://github.com/google/skills https://arxiv.org/abs/2603.28052**oMeta-Harness https://github.com/yc-software/qm https://arxiv.org/abs/2607.20891**(MisKnow-Agent)+ https://orca.security/latest/sglang-2026-security-analysis https://arxiv.org/abs/2608.14905**oAutoResearch https://github.com/InternLM/lmdeploy https://arxiv.org/abs/2607.28227 https://arxiv.org/abs/2608.06296 https://arxiv.org/abs/2608.07169 https://arxiv.org/abs/2607.26784**oSkillRise https://arxiv.org/abs/2608.17528 https://github.com/MemTensor/Metis**oMemTensor/Metis https://arxiv.org/abs/2608.11660**(Hybrid-Policy https://arxiv.org/abs/2608.14054 https://huggingface.co/Qwen/Qwen3.8-27B**oQwen3.8-27B https://github.com/JayLZhou/Awesome-Agent-Skills**(JayLZhou/Awesome-Agent-Skills). https://openai.com/index/gpt-daybreak**oOpenAI https://github.com/volcengine/OpenViking**(volcengine/OpenViking https://arxiv.org/abs/2608.06867**(LLMRouter)/ https://github.com/citrolabs/ego-lite**(citrolabs/ego-lite https://arxiv.org/abs/2608.11752**oUniSwap https://www.wsj.com https://github.com/langchain-ai/deepagents https://arxiv.org/abs/2608.12875 https://arxiv.org/abs/2608.20202 https://arxiv.org/abs/2607.23193 https://arxiv.org/abs/2608.17536 https://arxiv.org/abs/2603.29231 https://github.com/microsoft/agent-governance-toolkit https://arxiv.org/abs/2608.05604 https://arxiv.org/abs/2608.13040 https://usewire.io/blog/long-context-vs-rag-what-the-data-shows**(RAG https://arxiv.org/abs/2608.13237**(Search-R1 https://arxiv.org/abs/2607.27146**(MindForge)+ https://arxiv.org/abs/2608.01735 https://arxiv.org/abs/2608.05987 https://gradientflow.com/i-think-we-are-looking-for-ai-risk-in-the-wrong-place/ https://github.com/github/spec-kit https://arxiv.org/abs/2607.22375**(arXiv:2607.22375 https://futuressearch.ai/blog/google-deepmind-reorg-forecast https://deepmind.google/blog 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