[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-6547019aef103e78-agentco-op-retrieval-based-synthesis-of-multi-agen-summary":3,"summaries-facets-categories":105,"summary-related-6547019aef103e78-agentco-op-retrieval-based-synthesis-of-multi-agen-summary":4122},{"id":4,"title":5,"ai":6,"body":13,"categories":69,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":74,"navigation":88,"path":89,"published_at":90,"question":71,"scraped_at":90,"seo":91,"sitemap":92,"source_id":93,"source_name":94,"source_type":95,"source_url":80,"stem":96,"tags":97,"thumbnail_url":71,"tldr":102,"tweet":71,"unknown_tags":103,"__hash__":104},"summaries\u002Fsummaries\u002F6547019aef103e78-agentco-op-retrieval-based-synthesis-of-multi-agen-summary.md","AgentCo-op: Retrieval-Based Synthesis of Multi-Agent Workflows",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4082,557,3004,0.001856,{"type":14,"value":15,"toc":62},"minimark",[16,21,25,29,32,55,59],[17,18,20],"h2",{"id":19},"the-challenge-of-static-agent-orchestration","The Challenge of Static Agent Orchestration",[22,23,24],"p",{},"Traditional multi-agent systems often rely on hard-coded workflows or rigid hierarchical structures. These approaches struggle with scalability and interoperability, as agents designed for specific environments rarely function effectively when transplanted into new, complex, or multi-step workflows. AgentCo-op addresses this by treating agent capabilities as modular, retrievable components rather than monolithic entities.",[17,26,28],{"id":27},"retrieval-based-workflow-synthesis","Retrieval-Based Workflow Synthesis",[22,30,31],{},"The core innovation of AgentCo-op is the use of a retrieval-based mechanism to dynamically assemble workflows. Instead of pre-defining the interaction path, the system treats the task requirements as a query. It retrieves the most relevant agent 'skills' or sub-workflows from a library of interoperable components. This allows the system to:",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Synthesize on-the-fly:"," Construct workflows based on the specific constraints of the current task.",[36,44,45,48],{},[39,46,47],{},"Ensure Interoperability:"," Standardize the communication interfaces between agents so that components from different sources can be chained together without custom integration code.",[36,50,51,54],{},[39,52,53],{},"Improve Reusability:"," Decouple agent logic from the orchestration layer, enabling developers to build a library of specialized agents that can be reused across diverse applications.",[17,56,58],{"id":57},"implications-for-ai-engineering","Implications for AI Engineering",[22,60,61],{},"By moving toward a retrieval-based synthesis model, AgentCo-op shifts the focus of AI engineering from building 'all-in-one' agents to creating robust, interoperable primitives. This architectural shift mirrors the transition from monolithic software to microservices, where the value lies in the ability to compose complex behaviors from simple, well-defined, and discoverable building blocks. This approach significantly lowers the barrier to building complex, multi-agent systems that can adapt to evolving task requirements without requiring manual re-engineering of the entire pipeline.",{"title":63,"searchDepth":64,"depth":64,"links":65},"",2,[66,67,68],{"id":19,"depth":64,"text":20},{"id":27,"depth":64,"text":28},{"id":57,"depth":64,"text":58},[70],"AI & LLMs",null,"md",false,{"content_references":75,"triage":82},[76],{"type":77,"title":78,"publisher":79,"url":80,"context":81},"paper","AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.20425","reviewed",{"relevance":83,"novelty":84,"quality":84,"actionability":85,"composite":86,"reasoning":87},5,4,3,4.15,"Category: AI & LLMs. The article provides a detailed exploration of a new framework for synthesizing multi-agent workflows, addressing a significant pain point in AI engineering related to scalability and interoperability. It introduces a novel retrieval-based approach that allows for dynamic workflow assembly, which is actionable for developers looking to implement more flexible AI systems.",true,"\u002Fsummaries\u002F6547019aef103e78-agentco-op-retrieval-based-synthesis-of-multi-agen-summary","2026-05-22 07:00:19",{"title":5,"description":63},{"loc":89},"6547019aef103e78","arXiv cs.AI","article","summaries\u002F6547019aef103e78-agentco-op-retrieval-based-synthesis-of-multi-agen-summary",[98,99,100,101],"agents","llm","ai-tools","research","AgentCo-op introduces a retrieval-based framework to dynamically synthesize interoperable multi-agent workflows, moving beyond static agent orchestration to modular, reusable task execution.",[],"YSANFZNaDrzZcyxrBHBCQEOIH9jeiHuNihXEfHuZn_A",[106,109,112,114,117,120,122,124,126,128,130,132,135,137,139,141,143,145,147,149,151,153,155,157,159,161,164,167,169,171,174,176,178,181,183,185,187,189,191,193,195,197,199,201,203,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120],{"categories":107},[108],"Developer Productivity",{"categories":110},[111],"Business & SaaS",{"categories":113},[70],{"categories":115},[116],"AI Automation",{"categories":118},[119],"Product Strategy",{"categories":121},[70],{"categories":123},[108],{"categories":125},[111],{"categories":127},[],{"categories":129},[70],{"categories":131},[],{"categories":133},[134],"AI News & Trends",{"categories":136},[116],{"categories":138},[116],{"categories":140},[134],{"categories":142},[116],{"categories":144},[116],{"categories":146},[116],{"categories":148},[70],{"categories":150},[70],{"categories":152},[70],{"categories":154},[134],{"categories":156},[70],{"categories":158},[70],{"categories":160},[],{"categories":162},[163],"Design & Frontend",{"categories":165},[166],"Data Science & Visualization",{"categories":168},[134],{"categories":170},[],{"categories":172},[173],"Software Engineering",{"categories":175},[70],{"categories":177},[116],{"categories":179},[180],"Marketing & Growth",{"categories":182},[163],{"categories":184},[70],{"categories":186},[116],{"categories":188},[],{"categories":190},[],{"categories":192},[163],{"categories":194},[116],{"categories":196},[108],{"categories":198},[173],{"categories":200},[163],{"categories":202},[70],{"categories":204},[205],"DevOps & Cloud",{"categories":207},[116],{"categories":209},[134],{"categories":211},[],{"categories":213},[],{"categories":215},[116],{"categories":217},[173],{"categories":219},[],{"categories":221},[111],{"categories":223},[],{"categories":225},[],{"categories":227},[116],{"categories":229},[70],{"categories":231},[70],{"categories":233},[116],{"categories":235},[70],{"categories":237},[70],{"categories":239},[],{"categories":241},[173],{"categories":243},[],{"categories":245},[],{"categories":247},[173],{"categories":249},[],{"categories":251},[173],{"categories":253},[70],{"categories":255},[70],{"categories":257},[180],{"categories":259},[163],{"categories":261},[163],{"categories":263},[70],{"categories":265},[116],{"categories":267},[173],{"categories":269},[70],{"categories":271},[70],{"categories":273},[116],{"categories":275},[116],{"categories":277},[166],{"categories":279},[134],{"categories":281},[116],{"categories":283},[116],{"categories":285},[180],{"categories":287},[116],{"categories":289},[119],{"categories":291},[173],{"categories":293},[],{"categories":295},[116],{"categories":297},[],{"categories":299},[116],{"categories":301},[173],{"categories":303},[205],{"categories":305},[163],{"categories":307},[70],{"categories":309},[],{"categories":311},[70],{"categories":313},[],{"categories":315},[116],{"categories":317},[],{"categories":319},[70],{"categories":321},[],{"categories":323},[108],{"categories":325},[173],{"categories":327},[111],{"categories":329},[70],{"categories":331},[70],{"categories":333},[134],{"categories":335},[70],{"categories":337},[],{"categories":339},[70],{"categories":341},[],{"categories":343},[173],{"categories":345},[166],{"categories":347},[],{"categories":349},[70],{"categories":351},[163],{"categories":353},[],{"categories":355},[163],{"categories":357},[116],{"categories":359},[],{"categories":361},[70],{"categories":363},[116],{"categories":365},[134],{"categories":367},[111],{"categories":369},[70],{"categories":371},[],{"categories":373},[116],{"categories":375},[70],{"categories":377},[119],{"categories":379},[],{"categories":381},[70],{"categories":383},[119],{"categories":385},[116],{"categories":387},[116],{"categories":389},[],{"categories":391},[166],{"categories":393},[70],{"categories":395},[],{"categories":397},[108],{"categories":399},[111],{"categories":401},[70],{"categories":403},[116],{"categories":405},[173],{"categories":407},[70],{"categories":409},[],{"categories":411},[],{"categories":413},[70],{"categories":415},[70],{"categories":417},[],{"categories":419},[163],{"categories":421},[],{"categories":423},[70],{"categories":425},[],{"categories":427},[116],{"categories":429},[70],{"categories":431},[163],{"categories":433},[],{"categories":435},[70],{"categories":437},[70],{"categories":439},[111],{"categories":441},[116],{"categories":443},[70],{"categories":445},[70],{"categories":447},[163],{"categories":449},[116],{"categories":451},[],{"categories":453},[],{"categories":455},[134],{"categories":457},[],{"categories":459},[70],{"categories":461},[111,180],{"categories":463},[],{"categories":465},[70],{"categories":467},[116],{"categories":469},[],{"categories":471},[],{"categories":473},[70],{"categories":475},[],{"categories":477},[70],{"categories":479},[205],{"categories":481},[],{"categories":483},[134],{"categories":485},[163],{"categories":487},[],{"categories":489},[134],{"categories":491},[116],{"categories":493},[134],{"categories":495},[70],{"categories":497},[180],{"categories":499},[],{"categories":501},[111],{"categories":503},[70],{"categories":505},[116],{"categories":507},[],{"categories":509},[70,205],{"categories":511},[70],{"categories":513},[70],{"categories":515},[70],{"categories":517},[116],{"categories":519},[70,173],{"categories":521},[166],{"categories":523},[70],{"categories":525},[180],{"categories":527},[116],{"categories":529},[70],{"categories":531},[116],{"categories":533},[],{"categories":535},[116],{"categories":537},[70],{"categories":539},[70,111],{"categories":541},[],{"categories":543},[163],{"categories":545},[163],{"categories":547},[],{"categories":549},[],{"categories":551},[134],{"categories":553},[],{"categories":555},[108],{"categories":557},[173],{"categories":559},[70],{"categories":561},[163],{"categories":563},[116],{"categories":565},[173],{"categories":567},[134],{"categories":569},[163],{"categories":571},[],{"categories":573},[70],{"categories":575},[70],{"categories":577},[70],{"categories":579},[70],{"categories":581},[134],{"categories":583},[108],{"categories":585},[70],{"categories":587},[116],{"categories":589},[205],{"categories":591},[163],{"categories":593},[116],{"categories":595},[],{"categories":597},[],{"categories":599},[163],{"categories":601},[134],{"categories":603},[166],{"categories":605},[],{"categories":607},[70],{"categories":609},[70],{"categories":611},[111],{"categories":613},[70],{"categories":615},[70],{"categories":617},[70],{"categories":619},[134],{"categories":621},[],{"categories":623},[116],{"categories":625},[173],{"categories":627},[],{"categories":629},[70],{"categories":631},[70],{"categories":633},[116],{"categories":635},[],{"categories":637},[],{"categories":639},[70],{"categories":641},[],{"categories":643},[111],{"categories":645},[116],{"categories":647},[116],{"categories":649},[],{"categories":651},[108],{"categories":653},[70],{"categories":655},[111],{"categories":657},[134],{"categories":659},[108],{"categories":661},[],{"categories":663},[],{"categories":665},[],{"categories":667},[134],{"categories":669},[134],{"categories":671},[],{"categories":673},[173],{"categories":675},[],{"categories":677},[111],{"categories":679},[],{"categories":681},[],{"categories":683},[108],{"categories":685},[],{"categories":687},[180],{"categories":689},[116],{"categories":691},[111],{"categories":693},[116],{"categories":695},[173],{"categories":697},[],{"categories":699},[119],{"categories":701},[163],{"categories":703},[173],{"categories":705},[70],{"categories":707},[116],{"categories":709},[111],{"categories":711},[70],{"categories":713},[],{"categories":715},[],{"categories":717},[173],{"categories":719},[166],{"categories":721},[119],{"categories":723},[116],{"categories":725},[70],{"categories":727},[],{"categories":729},[205],{"categories":731},[],{"categories":733},[116],{"categories":735},[],{"categories":737},[108],{"categories":739},[],{"categories":741},[70],{"categories":743},[70],{"categories":745},[163],{"categories":747},[180],{"categories":749},[116],{"categories":751},[],{"categories":753},[173],{"categories":755},[108],{"categories":757},[],{"categories":759},[134],{"categories":761},[70,205],{"categories":763},[70],{"categories":765},[134],{"categories":767},[70],{"categories":769},[70],{"categories":771},[111],{"categories":773},[70],{"categories":775},[],{"categories":777},[70],{"categories":779},[111],{"categories":781},[],{"categories":783},[116],{"categories":785},[173],{"categories":787},[163],{"categories":789},[134],{"categories":791},[166],{"categories":793},[108],{"categories":795},[70],{"categories":797},[116],{"categories":799},[173],{"categories":801},[],{"categories":803},[],{"categories":805},[119],{"categories":807},[],{"categories":809},[70],{"categories":811},[],{"categories":813},[163],{"categories":815},[173],{"categories":817},[163],{"categories":819},[70],{"categories":821},[163],{"categories":823},[],{"categories":825},[],{"categories":827},[134],{"categories":829},[116],{"categories":831},[116],{"categories":833},[70],{"categories":835},[70],{"categories":837},[70],{"categories":839},[111],{"categories":841},[70],{"categories":843},[],{"categories":845},[173],{"categories":847},[173],{"categories":849},[111],{"categories":851},[],{"categories":853},[70],{"categories":855},[70],{"categories":857},[111],{"categories":859},[134],{"categories":861},[180],{"categories":863},[70],{"categories":865},[116],{"categories":867},[],{"categories":869},[163],{"categories":871},[],{"categories":873},[70],{"categories":875},[70],{"categories":877},[],{"categories":879},[111],{"categories":881},[116],{"categories":883},[],{"categories":885},[205],{"categories":887},[166],{"categories":889},[173],{"categories":891},[180],{"categories":893},[70],{"categories":895},[173],{"categories":897},[116],{"categories":899},[],{"categories":901},[],{"categories":903},[116],{"categories":905},[108],{"categories":907},[116],{"categories":909},[119],{"categories":911},[111],{"categories":913},[],{"categories":915},[70],{"categories":917},[119],{"categories":919},[70],{"categories":921},[70],{"categories":923},[180],{"categories":925},[70],{"categories":927},[163],{"categories":929},[116],{"categories":931},[],{"categories":933},[],{"categories":935},[205],{"categories":937},[173],{"categories":939},[],{"categories":941},[116],{"categories":943},[70],{"categories":945},[163,70],{"categories":947},[108],{"categories":949},[],{"categories":951},[70],{"categories":953},[108],{"categories":955},[163],{"categories":957},[116],{"categories":959},[173],{"categories":961},[],{"categories":963},[70],{"categories":965},[],{"categories":967},[],{"categories":969},[70],{"categories":971},[108],{"categories":973},[70],{"categories":975},[],{"categories":977},[116],{"categories":979},[119],{"categories":981},[70],{"categories":983},[70],{"categories":985},[70],{"categories":987},[163],{"categories":989},[116],{"categories":991},[205],{"categories":993},[163],{"categories":995},[116],{"categories":997},[70],{"categories":999},[70],{"categories":1001},[70],{"categories":1003},[173],{"categories":1005},[],{"categories":1007},[134],{"categories":1009},[],{"categories":1011},[119],{"categories":1013},[116],{"categories":1015},[163],{"categories":1017},[70],{"categories":1019},[116],{"categories":1021},[173],{"categories":1023},[163],{"categories":1025},[116],{"categories":1027},[134],{"categories":1029},[],{"categories":1031},[70],{"categories":1033},[163],{"categories":1035},[70],{"categories":1037},[108],{"categories":1039},[134],{"categories":1041},[70],{"categories":1043},[180],{"categories":1045},[70],{"categories":1047},[116],{"categories":1049},[116],{"categories":1051},[70],{"categories":1053},[116],{"categories":1055},[116],{"categories":1057},[70],{"categories":1059},[116],{"categories":1061},[163],{"categories":1063},[70],{"categories":1065},[],{"categories":1067},[],{"categories":1069},[173],{"categories":1071},[],{"categories":1073},[108],{"categories":1075},[205],{"categories":1077},[70],{"categories":1079},[],{"categories":1081},[108],{"categories":1083},[111],{"categories":1085},[180],{"categories":1087},[],{"categories":1089},[111],{"categories":1091},[],{"categories":1093},[70],{"categories":1095},[173],{"categories":1097},[],{"categories":1099},[],{"categories":1101},[],{"categories":1103},[],{"categories":1105},[70],{"categories":1107},[116],{"categories":1109},[205],{"categories":1111},[108],{"categories":1113},[173],{"categories":1115},[70],{"categories":1117},[173],{"categories":1119},[119],{"categories":1121},[70],{"categories":1123},[180],{"categories":1125},[111],{"categories":1127},[70],{"categories":1129},[70],{"categories":1131},[70],{"categories":1133},[70,108],{"categories":1135},[173],{"categories":1137},[173],{"categories":1139},[163],{"categories":1141},[116],{"categories":1143},[70],{"categories":1145},[],{"categories":1147},[],{"categories":1149},[],{"categories":1151},[173],{"categories":1153},[166],{"categories":1155},[134],{"categories":1157},[163],{"categories":1159},[173],{"categories":1161},[],{"categories":1163},[70],{"categories":1165},[70],{"categories":1167},[],{"categories":1169},[116],{"categories":1171},[70],{"categories":1173},[70],{"categories":1175},[],{"categories":1177},[116],{"categories":1179},[70],{"categories":1181},[111],{"categories":1183},[],{"categories":1185},[108],{"categories":1187},[70],{"categories":1189},[108],{"categories":1191},[70],{"categories":1193},[173],{"categories":1195},[180],{"categories":1197},[116],{"categories":1199},[70,163],{"categories":1201},[134],{"categories":1203},[70],{"categories":1205},[163],{"categories":1207},[],{"categories":1209},[173],{"categories":1211},[205],{"categories":1213},[163],{"categories":1215},[116],{"categories":1217},[],{"categories":1219},[],{"categories":1221},[],{"categories":1223},[],{"categories":1225},[173],{"categories":1227},[116],{"categories":1229},[116],{"categories":1231},[205],{"categories":1233},[70],{"categories":1235},[70],{"categories":1237},[116],{"categories":1239},[70],{"categories":1241},[70],{"categories":1243},[],{"categories":1245},[163],{"categories":1247},[],{"categories":1249},[],{"categories":1251},[116],{"categories":1253},[],{"categories":1255},[],{"categories":1257},[180],{"categories":1259},[180],{"categories":1261},[116],{"categories":1263},[173],{"categories":1265},[],{"categories":1267},[70],{"categories":1269},[70],{"categories":1271},[173],{"categories":1273},[163],{"categories":1275},[163],{"categories":1277},[116],{"categories":1279},[108],{"categories":1281},[70],{"categories":1283},[163],{"categories":1285},[163],{"categories":1287},[116],{"categories":1289},[116],{"categories":1291},[70],{"categories":1293},[],{"categories":1295},[70],{"categories":1297},[],{"categories":1299},[70],{"categories":1301},[116],{"categories":1303},[134],{"categories":1305},[173],{"categories":1307},[70],{"categories":1309},[108],{"categories":1311},[70],{"categories":1313},[],{"categories":1315},[116],{"categories":1317},[116],{"categories":1319},[],{"categories":1321},[70],{"categories":1323},[108],{"categories":1325},[70],{"categories":1327},[108],{"categories":1329},[108],{"categories":1331},[],{"categories":1333},[],{"categories":1335},[116],{"categories":1337},[134],{"categories":1339},[116],{"categories":1341},[70],{"categories":1343},[70],{"categories":1345},[134],{"categories":1347},[166],{"categories":1349},[119],{"categories":1351},[134],{"categories":1353},[163],{"categories":1355},[],{"categories":1357},[],{"categories":1359},[134],{"categories":1361},[],{"categories":1363},[],{"categories":1365},[],{"categories":1367},[],{"categories":1369},[173],{"categories":1371},[173],{"categories":1373},[166],{"categories":1375},[],{"categories":1377},[70],{"categories":1379},[70],{"categories":1381},[166],{"categories":1383},[173],{"categories":1385},[],{"categories":1387},[],{"categories":1389},[116],{"categories":1391},[116],{"categories":1393},[134],{"categories":1395},[134],{"categories":1397},[116],{"categories":1399},[116],{"categories":1401},[108],{"categories":1403},[70,205],{"categories":1405},[],{"categories":1407},[163],{"categories":1409},[108],{"categories":1411},[116],{"categories":1413},[163],{"categories":1415},[],{"categories":1417},[116],{"categories":1419},[116],{"categories":1421},[70],{"categories":1423},[180],{"categories":1425},[173],{"categories":1427},[163],{"categories":1429},[],{"categories":1431},[116],{"categories":1433},[70],{"categories":1435},[116],{"categories":1437},[116],{"categories":1439},[116],{"categories":1441},[180],{"categories":1443},[70],{"categories":1445},[116],{"categories":1447},[70],{"categories":1449},[],{"categories":1451},[180],{"categories":1453},[134],{"categories":1455},[173],{"categories":1457},[70],{"categories":1459},[116],{"categories":1461},[],{"categories":1463},[],{"categories":1465},[70],{"categories":1467},[116],{"categories":1469},[134],{"categories":1471},[116],{"categories":1473},[116],{"categories":1475},[],{"categories":1477},[70],{"categories":1479},[],{"categories":1481},[],{"categories":1483},[116],{"categories":1485},[],{"categories":1487},[],{"categories":1489},[166],{"categories":1491},[70],{"categories":1493},[166],{"categories":1495},[134],{"categories":1497},[70],{"categories":1499},[70],{"categories":1501},[116],{"categories":1503},[70],{"categories":1505},[],{"categories":1507},[],{"categories":1509},[205],{"categories":1511},[70],{"categories":1513},[],{"categories":1515},[],{"categories":1517},[108],{"categories":1519},[],{"categories":1521},[],{"categories":1523},[70],{"categories":1525},[],{"categories":1527},[],{"categories":1529},[173],{"categories":1531},[134],{"categories":1533},[180],{"categories":1535},[111],{"categories":1537},[70],{"categories":1539},[70],{"categories":1541},[111],{"categories":1543},[],{"categories":1545},[163],{"categories":1547},[116],{"categories":1549},[111],{"categories":1551},[70],{"categories":1553},[70],{"categories":1555},[108],{"categories":1557},[70],{"categories":1559},[],{"categories":1561},[108],{"categories":1563},[70],{"categories":1565},[180],{"categories":1567},[116],{"categories":1569},[134],{"categories":1571},[111],{"categories":1573},[70],{"categories":1575},[70],{"categories":1577},[116],{"categories":1579},[],{"categories":1581},[70],{"categories":1583},[108],{"categories":1585},[70],{"categories":1587},[70],{"categories":1589},[],{"categories":1591},[134],{"categories":1593},[70],{"categories":1595},[70],{"categories":1597},[],{"categories":1599},[111],{"categories":1601},[111],{"categories":1603},[70],{"categories":1605},[70],{"categories":1607},[],{"categories":1609},[],{"categories":1611},[],{"categories":1613},[70],{"categories":1615},[134],{"categories":1617},[],{"categories":1619},[205],{"categories":1621},[70],{"categories":1623},[70],{"categories":1625},[],{"categories":1627},[70],{"categories":1629},[70],{"categories":1631},[70],{"categories":1633},[70,205],{"categories":1635},[70],{"categories":1637},[70],{"categories":1639},[163],{"categories":1641},[116],{"categories":1643},[],{"categories":1645},[116],{"categories":1647},[116],{"categories":1649},[70],{"categories":1651},[70],{"categories":1653},[70],{"categories":1655},[108],{"categories":1657},[108],{"categories":1659},[173],{"categories":1661},[163],{"categories":1663},[116],{"categories":1665},[],{"categories":1667},[70],{"categories":1669},[134],{"categories":1671},[70],{"categories":1673},[70],{"categories":1675},[111],{"categories":1677},[],{"categories":1679},[205],{"categories":1681},[163],{"categories":1683},[163],{"categories":1685},[116],{"categories":1687},[134],{"categories":1689},[116],{"categories":1691},[70],{"categories":1693},[],{"categories":1695},[70],{"categories":1697},[],{"categories":1699},[],{"categories":1701},[70],{"categories":1703},[70],{"categories":1705},[70],{"categories":1707},[116],{"categories":1709},[70],{"categories":1711},[70],{"categories":1713},[],{"categories":1715},[166],{"categories":1717},[116],{"categories":1719},[],{"categories":1721},[],{"categories":1723},[70],{"categories":1725},[70],{"categories":1727},[70],{"categories":1729},[134],{"categories":1731},[],{"categories":1733},[163],{"categories":1735},[205],{"categories":1737},[134],{"categories":1739},[173],{"categories":1741},[173],{"categories":1743},[134],{"categories":1745},[134],{"categories":1747},[205],{"categories":1749},[],{"categories":1751},[134],{"categories":1753},[70],{"categories":1755},[108],{"categories":1757},[70],{"categories":1759},[134],{"categories":1761},[],{"categories":1763},[173],{"categories":1765},[166],{"categories":1767},[70],{"categories":1769},[134],{"categories":1771},[173],{"categories":1773},[116],{"categories":1775},[134],{"categories":1777},[205],{"categories":1779},[116],{"categories":1781},[70],{"categories":1783},[70],{"categories":1785},[70],{"categories":1787},[],{"categories":1789},[111],{"categories":1791},[],{"categories":1793},[],{"categories":1795},[70],{"categories":1797},[70],{"categories":1799},[70],{"categories":1801},[70],{"categories":1803},[],{"categories":1805},[166],{"categories":1807},[108],{"categories":1809},[],{"categories":1811},[70],{"categories":1813},[70],{"categories":1815},[205],{"categories":1817},[205],{"categories":1819},[],{"categories":1821},[116],{"categories":1823},[134],{"categories":1825},[134],{"categories":1827},[70],{"categories":1829},[116],{"categories":1831},[],{"categories":1833},[163],{"categories":1835},[70],{"categories":1837},[70],{"categories":1839},[],{"categories":1841},[70],{"categories":1843},[],{"categories":1845},[173],{"categories":1847},[205],{"categories":1849},[70],{"categories":1851},[173],{"categories":1853},[111],{"categories":1855},[70],{"categories":1857},[],{"categories":1859},[116],{"categories":1861},[108],{"categories":1863},[108],{"categories":1865},[],{"categories":1867},[70],{"categories":1869},[163],{"categories":1871},[116],{"categories":1873},[],{"categories":1875},[70],{"categories":1877},[70],{"categories":1879},[116],{"categories":1881},[],{"categories":1883},[116],{"categories":1885},[173],{"categories":1887},[],{"categories":1889},[70],{"categories":1891},[],{"categories":1893},[70],{"categories":1895},[],{"categories":1897},[70],{"categories":1899},[70],{"categories":1901},[],{"categories":1903},[70],{"categories":1905},[134],{"categories":1907},[70],{"categories":1909},[70],{"categories":1911},[108],{"categories":1913},[70],{"categories":1915},[134],{"categories":1917},[116],{"categories":1919},[],{"categories":1921},[70],{"categories":1923},[163],{"categories":1925},[180],{"categories":1927},[70],{"categories":1929},[],{"categories":1931},[],{"categories":1933},[],{"categories":1935},[108],{"categories":1937},[134],{"categories":1939},[116],{"categories":1941},[70],{"categories":1943},[163],{"categories":1945},[116],{"categories":1947},[],{"categories":1949},[116],{"categories":1951},[],{"categories":1953},[70],{"categories":1955},[116],{"categories":1957},[70],{"categories":1959},[],{"categories":1961},[70],{"categories":1963},[70],{"categories":1965},[134],{"categories":1967},[163],{"categories":1969},[116],{"categories":1971},[163],{"categories":1973},[111],{"categories":1975},[],{"categories":1977},[],{"categories":1979},[70],{"categories":1981},[108],{"categories":1983},[134],{"categories":1985},[],{"categories":1987},[163],{"categories":1989},[],{"categories":1991},[173],{"categories":1993},[173],{"categories":1995},[163],{"categories":1997},[],{"categories":1999},[70],{"categories":2001},[],{"categories":2003},[180],{"categories":2005},[70],{"categories":2007},[205],{"categories":2009},[173],{"categories":2011},[],{"categories":2013},[116],{"categories":2015},[70],{"categories":2017},[108],{"categories":2019},[116],{"categories":2021},[116],{"categories":2023},[70],{"categories":2025},[],{"categories":2027},[108],{"categories":2029},[70],{"categories":2031},[111],{"categories":2033},[173],{"categories":2035},[163],{"categories":2037},[],{"categories":2039},[],{"categories":2041},[],{"categories":2043},[116],{"categories":2045},[173],{"categories":2047},[163],{"categories":2049},[134],{"categories":2051},[70],{"categories":2053},[134],{"categories":2055},[163],{"categories":2057},[],{"categories":2059},[163],{"categories":2061},[134],{"categories":2063},[111],{"categories":2065},[173],{"categories":2067},[70],{"categories":2069},[134],{"categories":2071},[180],{"categories":2073},[],{"categories":2075},[],{"categories":2077},[166],{"categories":2079},[70,173],{"categories":2081},[134],{"categories":2083},[70],{"categories":2085},[116],{"categories":2087},[70],{"categories":2089},[116],{"categories":2091},[70],{"categories":2093},[70],{"categories":2095},[],{"categories":2097},[173],{"categories":2099},[70],{"categories":2101},[166],{"categories":2103},[116],{"categories":2105},[180],{"categories":2107},[205],{"categories":2109},[],{"categories":2111},[108],{"categories":2113},[116],{"categories":2115},[116],{"categories":2117},[173],{"categories":2119},[70],{"categories":2121},[70],{"categories":2123},[],{"categories":2125},[],{"categories":2127},[],{"categories":2129},[205],{"categories":2131},[134],{"categories":2133},[70],{"categories":2135},[70],{"categories":2137},[70],{"categories":2139},[],{"categories":2141},[166],{"categories":2143},[111],{"categories":2145},[],{"categories":2147},[70],{"categories":2149},[116],{"categories":2151},[205],{"categories":2153},[],{"categories":2155},[163],{"categories":2157},[163],{"categories":2159},[],{"categories":2161},[173],{"categories":2163},[70],{"categories":2165},[163],{"categories":2167},[70],{"categories":2169},[],{"categories":2171},[134],{"categories":2173},[70],{"categories":2175},[70],{"categories":2177},[163],{"categories":2179},[116],{"categories":2181},[134],{"categories":2183},[],{"categories":2185},[116],{"categories":2187},[163],{"categories":2189},[70],{"categories":2191},[],{"categories":2193},[70],{"categories":2195},[70],{"categories":2197},[205],{"categories":2199},[134],{"categories":2201},[166],{"categories":2203},[166],{"categories":2205},[],{"categories":2207},[],{"categories":2209},[],{"categories":2211},[116],{"categories":2213},[173],{"categories":2215},[173],{"categories":2217},[70],{"categories":2219},[70],{"categories":2221},[],{"categories":2223},[],{"categories":2225},[70],{"categories":2227},[],{"categories":2229},[116],{"categories":2231},[70],{"categories":2233},[],{"categories":2235},[70],{"categories":2237},[111],{"categories":2239},[70],{"categories":2241},[180],{"categories":2243},[116],{"categories":2245},[70],{"categories":2247},[70],{"categories":2249},[70],{"categories":2251},[173],{"categories":2253},[],{"categories":2255},[134],{"categories":2257},[116],{"categories":2259},[],{"categories":2261},[134],{"categories":2263},[116],{"categories":2265},[70],{"categories":2267},[116],{"categories":2269},[],{"categories":2271},[111],{"categories":2273},[116],{"categories":2275},[],{"categories":2277},[173],{"categories":2279},[70],{"categories":2281},[108],{"categories":2283},[134],{"categories":2285},[205],{"categories":2287},[116],{"categories":2289},[116],{"categories":2291},[108],{"categories":2293},[],{"categories":2295},[70],{"categories":2297},[],{"categories":2299},[],{"categories":2301},[163],{"categories":2303},[70,111],{"categories":2305},[70],{"categories":2307},[],{"categories":2309},[108],{"categories":2311},[166],{"categories":2313},[70],{"categories":2315},[173],{"categories":2317},[70],{"categories":2319},[116],{"categories":2321},[70],{"categories":2323},[70],{"categories":2325},[70],{"categories":2327},[134],{"categories":2329},[116],{"categories":2331},[70],{"categories":2333},[],{"categories":2335},[],{"categories":2337},[116],{"categories":2339},[70],{"categories":2341},[205],{"categories":2343},[],{"categories":2345},[70],{"categories":2347},[116],{"categories":2349},[],{"categories":2351},[116],{"categories":2353},[70],{"categories":2355},[180],{"categories":2357},[166],{"categories":2359},[116],{"categories":2361},[70],{"categories":2363},[205],{"categories":2365},[],{"categories":2367},[70],{"categories":2369},[180],{"categories":2371},[163],{"categories":2373},[70],{"categories":2375},[70],{"categories":2377},[],{"categories":2379},[180],{"categories":2381},[134],{"categories":2383},[70],{"categories":2385},[70],{"categories":2387},[108],{"categories":2389},[],{"categories":2391},[],{"categories":2393},[163],{"categories":2395},[70],{"categories":2397},[166],{"categories":2399},[180],{"categories":2401},[116],{"categories":2403},[180],{"categories":2405},[134],{"categories":2407},[],{"categories":2409},[],{"categories":2411},[70],{"categories":2413},[116],{"categories":2415},[70],{"categories":2417},[70],{"categories":2419},[],{"categories":2421},[70,173],{"categories":2423},[134],{"categories":2425},[116],{"categories":2427},[173],{"categories":2429},[70],{"categories":2431},[108],{"categories":2433},[],{"categories":2435},[],{"categories":2437},[108],{"categories":2439},[173],{"categories":2441},[180],{"categories":2443},[70],{"categories":2445},[173],{"categories":2447},[],{"categories":2449},[163,70],{"categories":2451},[205],{"categories":2453},[108],{"categories":2455},[],{"categories":2457},[111],{"categories":2459},[111],{"categories":2461},[70],{"categories":2463},[70],{"categories":2465},[173],{"categories":2467},[116],{"categories":2469},[134],{"categories":2471},[180],{"categories":2473},[163],{"categories":2475},[70],{"categories":2477},[70],{"categories":2479},[70],{"categories":2481},[108],{"categories":2483},[70],{"categories":2485},[116],{"categories":2487},[134],{"categories":2489},[],{"categories":2491},[],{"categories":2493},[166],{"categories":2495},[173],{"categories":2497},[70],{"categories":2499},[163],{"categories":2501},[70],{"categories":2503},[166],{"categories":2505},[70],{"categories":2507},[70],{"categories":2509},[70],{"categories":2511},[116],{"categories":2513},[116],{"categories":2515},[70,111],{"categories":2517},[],{"categories":2519},[163],{"categories":2521},[],{"categories":2523},[70],{"categories":2525},[134],{"categories":2527},[108],{"categories":2529},[108],{"categories":2531},[116],{"categories":2533},[70],{"categories":2535},[70],{"categories":2537},[111],{"categories":2539},[173],{"categories":2541},[180],{"categories":2543},[70],{"categories":2545},[],{"categories":2547},[134],{"categories":2549},[70],{"categories":2551},[70],{"categories":2553},[70],{"categories":2555},[70],{"categories":2557},[70],{"categories":2559},[173],{"categories":2561},[134],{"categories":2563},[173],{"categories":2565},[173],{"categories":2567},[70],{"categories":2569},[70],{"categories":2571},[116],{"categories":2573},[134],{"categories":2575},[70],{"categories":2577},[163],{"categories":2579},[70],{"categories":2581},[70],{"categories":2583},[205],{"categories":2585},[70],{"categories":2587},[119],{"categories":2589},[116],{"categories":2591},[70],{"categories":2593},[134],{"categories":2595},[116],{"categories":2597},[180],{"categories":2599},[70],{"categories":2601},[],{"categories":2603},[70],{"categories":2605},[70],{"categories":2607},[],{"categories":2609},[],{"categories":2611},[],{"categories":2613},[111],{"categories":2615},[70],{"categories":2617},[116],{"categories":2619},[134],{"categories":2621},[134],{"categories":2623},[134],{"categories":2625},[134],{"categories":2627},[],{"categories":2629},[108],{"categories":2631},[116],{"categories":2633},[134],{"categories":2635},[70],{"categories":2637},[108],{"categories":2639},[116],{"categories":2641},[70],{"categories":2643},[70,116],{"categories":2645},[116],{"categories":2647},[205],{"categories":2649},[134],{"categories":2651},[134],{"categories":2653},[116],{"categories":2655},[70],{"categories":2657},[],{"categories":2659},[134],{"categories":2661},[180],{"categories":2663},[108],{"categories":2665},[70],{"categories":2667},[70],{"categories":2669},[],{"categories":2671},[173],{"categories":2673},[],{"categories":2675},[108],{"categories":2677},[116],{"categories":2679},[134],{"categories":2681},[70],{"categories":2683},[134],{"categories":2685},[108],{"categories":2687},[134],{"categories":2689},[134],{"categories":2691},[],{"categories":2693},[111],{"categories":2695},[116],{"categories":2697},[134],{"categories":2699},[134],{"categories":2701},[134],{"categories":2703},[134],{"categories":2705},[134],{"categories":2707},[134],{"categories":2709},[134],{"categories":2711},[134],{"categories":2713},[134],{"categories":2715},[134],{"categories":2717},[166],{"categories":2719},[108],{"categories":2721},[70],{"categories":2723},[70],{"categories":2725},[116],{"categories":2727},[],{"categories":2729},[70,108],{"categories":2731},[],{"categories":2733},[116],{"categories":2735},[134],{"categories":2737},[116],{"categories":2739},[70],{"categories":2741},[70],{"categories":2743},[70],{"categories":2745},[70],{"categories":2747},[70],{"categories":2749},[116],{"categories":2751},[111],{"categories":2753},[],{"categories":2755},[163],{"categories":2757},[134],{"categories":2759},[70],{"categories":2761},[],{"categories":2763},[],{"categories":2765},[116],{"categories":2767},[163],{"categories":2769},[70],{"categories":2771},[],{"categories":2773},[70],{"categories":2775},[],{"categories":2777},[180],{"categories":2779},[70],{"categories":2781},[],{"categories":2783},[],{"categories":2785},[134],{"categories":2787},[108],{"categories":2789},[70],{"categories":2791},[111],{"categories":2793},[70],{"categories":2795},[111],{"categories":2797},[163],{"categories":2799},[],{"categories":2801},[134],{"categories":2803},[],{"categories":2805},[163],{"categories":2807},[70],{"categories":2809},[180],{"categories":2811},[],{"categories":2813},[180],{"categories":2815},[],{"categories":2817},[],{"categories":2819},[116],{"categories":2821},[],{"categories":2823},[111],{"categories":2825},[108],{"categories":2827},[163],{"categories":2829},[173],{"categories":2831},[],{"categories":2833},[],{"categories":2835},[70],{"categories":2837},[108],{"categories":2839},[180],{"categories":2841},[],{"categories":2843},[116],{"categories":2845},[116],{"categories":2847},[134],{"categories":2849},[173],{"categories":2851},[70],{"categories":2853},[116],{"categories":2855},[70],{"categories":2857},[116],{"categories":2859},[70],{"categories":2861},[119],{"categories":2863},[180],{"categories":2865},[134],{"categories":2867},[],{"categories":2869},[180],{"categories":2871},[],{"categories":2873},[173],{"categories":2875},[116],{"categories":2877},[],{"categories":2879},[70],{"categories":2881},[116],{"categories":2883},[111],{"categories":2885},[108],{"categories":2887},[70],{"categories":2889},[163],{"categories":2891},[173],{"categories":2893},[173],{"categories":2895},[70],{"categories":2897},[166],{"categories":2899},[70],{"categories":2901},[116],{"categories":2903},[111],{"categories":2905},[163],{"categories":2907},[116],{"categories":2909},[70],{"categories":2911},[70],{"categories":2913},[116],{"categories":2915},[134],{"categories":2917},[],{"categories":2919},[108],{"categories":2921},[70],{"categories":2923},[70],{"categories":2925},[116],{"categories":2927},[70],{"categories":2929},[70],{"categories":2931},[],{"categories":2933},[163],{"categories":2935},[111],{"categories":2937},[134],{"categories":2939},[70],{"categories":2941},[70],{"categories":2943},[163],{"categories":2945},[70],{"categories":2947},[180],{"categories":2949},[166],{"categories":2951},[70],{"categories":2953},[134],{"categories":2955},[70],{"categories":2957},[116],{"categories":2959},[205],{"categories":2961},[70],{"categories":2963},[116],{"categories":2965},[166],{"categories":2967},[],{"categories":2969},[116],{"categories":2971},[173],{"categories":2973},[163],{"categories":2975},[70],{"categories":2977},[108],{"categories":2979},[173],{"categories":2981},[111],{"categories":2983},[173],{"categories":2985},[70],{"categories":2987},[],{"categories":2989},[116],{"categories":2991},[116],{"categories":2993},[70],{"categories":2995},[166],{"categories":2997},[],{"categories":2999},[134],{"categories":3001},[],{"categories":3003},[134],{"categories":3005},[70],{"categories":3007},[70],{"categories":3009},[116],{"categories":3011},[116],{"categories":3013},[116],{"categories":3015},[],{"categories":3017},[134],{"categories":3019},[],{"categories":3021},[70],{"categories":3023},[70],{"categories":3025},[],{"categories":3027},[163],{"categories":3029},[116],{"categories":3031},[180],{"categories":3033},[108],{"categories":3035},[],{"categories":3037},[70],{"categories":3039},[],{"categories":3041},[108],{"categories":3043},[134],{"categories":3045},[173],{"categories":3047},[70],{"categories":3049},[70],{"categories":3051},[70],{"categories":3053},[173],{"categories":3055},[134],{"categories":3057},[163],{"categories":3059},[70],{"categories":3061},[70],{"categories":3063},[70],{"categories":3065},[134],{"categories":3067},[70],{"categories":3069},[134],{"categories":3071},[134],{"categories":3073},[116],{"categories":3075},[116],{"categories":3077},[173],{"categories":3079},[134],{"categories":3081},[116],{"categories":3083},[70],{"categories":3085},[173],{"categories":3087},[163],{"categories":3089},[],{"categories":3091},[116],{"categories":3093},[],{"categories":3095},[],{"categories":3097},[],{"categories":3099},[111],{"categories":3101},[116],{"categories":3103},[70],{"categories":3105},[116],{"categories":3107},[108],{"categories":3109},[116],{"categories":3111},[180],{"categories":3113},[],{"categories":3115},[116],{"categories":3117},[],{"categories":3119},[108],{"categories":3121},[116],{"categories":3123},[],{"categories":3125},[116],{"categories":3127},[70],{"categories":3129},[134],{"categories":3131},[70],{"categories":3133},[116],{"categories":3135},[134],{"categories":3137},[116],{"categories":3139},[173],{"categories":3141},[163],{"categories":3143},[108],{"categories":3145},[],{"categories":3147},[116],{"categories":3149},[163],{"categories":3151},[205],{"categories":3153},[134],{"categories":3155},[70],{"categories":3157},[163],{"categories":3159},[108],{"categories":3161},[],{"categories":3163},[116],{"categories":3165},[70],{"categories":3167},[116],{"categories":3169},[70],{"categories":3171},[163],{"categories":3173},[],{"categories":3175},[116],{"categories":3177},[119],{"categories":3179},[134],{"categories":3181},[116],{"categories":3183},[111],{"categories":3185},[],{"categories":3187},[70],{"categories":3189},[119],{"categories":3191},[70],{"categories":3193},[116],{"categories":3195},[134],{"categories":3197},[108],{"categories":3199},[205],{"categories":3201},[70],{"categories":3203},[70],{"categories":3205},[70],{"categories":3207},[134],{"categories":3209},[111],{"categories":3211},[70],{"categories":3213},[163],{"categories":3215},[134],{"categories":3217},[205],{"categories":3219},[70],{"categories":3221},[],{"categories":3223},[],{"categories":3225},[70],{"categories":3227},[205],{"categories":3229},[166],{"categories":3231},[116],{"categories":3233},[116],{"categories":3235},[134],{"categories":3237},[70],{"categories":3239},[108],{"categories":3241},[163],{"categories":3243},[116],{"categories":3245},[116],{"categories":3247},[70],{"categories":3249},[180],{"categories":3251},[70],{"categories":3253},[116],{"categories":3255},[],{"categories":3257},[70],{"categories":3259},[70],{"categories":3261},[134],{"categories":3263},[108],{"categories":3265},[],{"categories":3267},[70],{"categories":3269},[70],{"categories":3271},[173],{"categories":3273},[163],{"categories":3275},[70,116],{"categories":3277},[180,111],{"categories":3279},[70],{"categories":3281},[],{"categories":3283},[116],{"categories":3285},[],{"categories":3287},[173],{"categories":3289},[70],{"categories":3291},[],{"categories":3293},[70],{"categories":3295},[134],{"categories":3297},[],{"categories":3299},[116],{"categories":3301},[70],{"categories":3303},[],{"categories":3305},[163],{"categories":3307},[116],{"categories":3309},[70],{"categories":3311},[108],{"categories":3313},[116],{"categories":3315},[70],{"categories":3317},[],{"categories":3319},[205],{"categories":3321},[180],{"categories":3323},[111],{"categories":3325},[111],{"categories":3327},[108],{"categories":3329},[108],{"categories":3331},[70],{"categories":3333},[116],{"categories":3335},[70],{"categories":3337},[70],{"categories":3339},[108],{"categories":3341},[70],{"categories":3343},[180],{"categories":3345},[134],{"categories":3347},[70],{"categories":3349},[116],{"categories":3351},[70],{"categories":3353},[],{"categories":3355},[173],{"categories":3357},[],{"categories":3359},[173],{"categories":3361},[116],{"categories":3363},[108],{"categories":3365},[],{"categories":3367},[205],{"categories":3369},[70],{"categories":3371},[],{"categories":3373},[134],{"categories":3375},[116],{"categories":3377},[173],{"categories":3379},[70],{"categories":3381},[116],{"categories":3383},[173],{"categories":3385},[116],{"categories":3387},[134],{"categories":3389},[108],{"categories":3391},[134],{"categories":3393},[173],{"categories":3395},[70],{"categories":3397},[163],{"categories":3399},[70],{"categories":3401},[70],{"categories":3403},[70],{"categories":3405},[70],{"categories":3407},[70],{"categories":3409},[116],{"categories":3411},[70],{"categories":3413},[116],{"categories":3415},[70],{"categories":3417},[108],{"categories":3419},[70],{"categories":3421},[116],{"categories":3423},[163],{"categories":3425},[108],{"categories":3427},[116],{"categories":3429},[163],{"categories":3431},[],{"categories":3433},[70],{"categories":3435},[70],{"categories":3437},[70],{"categories":3439},[173],{"categories":3441},[],{"categories":3443},[116],{"categories":3445},[180],{"categories":3447},[70],{"categories":3449},[134],{"categories":3451},[180],{"categories":3453},[116],{"categories":3455},[111],{"categories":3457},[111],{"categories":3459},[70],{"categories":3461},[70],{"categories":3463},[108],{"categories":3465},[],{"categories":3467},[116],{"categories":3469},[70],{"categories":3471},[],{"categories":3473},[108],{"categories":3475},[70],{"categories":3477},[116],{"categories":3479},[116],{"categories":3481},[],{"categories":3483},[173],{"categories":3485},[173],{"categories":3487},[180],{"categories":3489},[163],{"categories":3491},[],{"categories":3493},[70],{"categories":3495},[116],{"categories":3497},[108],{"categories":3499},[70],{"categories":3501},[173],{"categories":3503},[108],{"categories":3505},[134],{"categories":3507},[134],{"categories":3509},[],{"categories":3511},[134],{"categories":3513},[116],{"categories":3515},[163],{"categories":3517},[166],{"categories":3519},[70],{"categories":3521},[],{"categories":3523},[134],{"categories":3525},[173],{"categories":3527},[111],{"categories":3529},[70],{"categories":3531},[108],{"categories":3533},[205],{"categories":3535},[108],{"categories":3537},[],{"categories":3539},[],{"categories":3541},[134],{"categories":3543},[],{"categories":3545},[116],{"categories":3547},[116],{"categories":3549},[116],{"categories":3551},[],{"categories":3553},[70],{"categories":3555},[],{"categories":3557},[134],{"categories":3559},[108],{"categories":3561},[163],{"categories":3563},[70],{"categories":3565},[134],{"categories":3567},[134],{"categories":3569},[],{"categories":3571},[134],{"categories":3573},[108],{"categories":3575},[116],{"categories":3577},[70],{"categories":3579},[],{"categories":3581},[116],{"categories":3583},[116],{"categories":3585},[108],{"categories":3587},[],{"categories":3589},[],{"categories":3591},[],{"categories":3593},[163],{"categories":3595},[116],{"categories":3597},[70],{"categories":3599},[],{"categories":3601},[],{"categories":3603},[],{"categories":3605},[163],{"categories":3607},[],{"categories":3609},[70],{"categories":3611},[108],{"categories":3613},[],{"categories":3615},[],{"categories":3617},[163],{"categories":3619},[70],{"categories":3621},[134],{"categories":3623},[],{"categories":3625},[180],{"categories":3627},[134],{"categories":3629},[180],{"categories":3631},[166],{"categories":3633},[70],{"categories":3635},[70],{"categories":3637},[],{"categories":3639},[],{"categories":3641},[116],{"categories":3643},[],{"categories":3645},[],{"categories":3647},[116],{"categories":3649},[70],{"categories":3651},[],{"categories":3653},[116],{"categories":3655},[134],{"categories":3657},[70],{"categories":3659},[180],{"categories":3661},[70],{"categories":3663},[166],{"categories":3665},[116],{"categories":3667},[116],{"categories":3669},[],{"categories":3671},[],{"categories":3673},[],{"categories":3675},[134],{"categories":3677},[],{"categories":3679},[],{"categories":3681},[163],{"categories":3683},[108],{"categories":3685},[],{"categories":3687},[111],{"categories":3689},[180],{"categories":3691},[70],{"categories":3693},[173],{"categories":3695},[108],{"categories":3697},[166],{"categories":3699},[111],{"categories":3701},[173],{"categories":3703},[173],{"categories":3705},[],{"categories":3707},[],{"categories":3709},[116],{"categories":3711},[108],{"categories":3713},[163],{"categories":3715},[108],{"categories":3717},[116],{"categories":3719},[205],{"categories":3721},[70],{"categories":3723},[108],{"categories":3725},[116],{"categories":3727},[],{"categories":3729},[70],{"categories":3731},[134],{"categories":3733},[173],{"categories":3735},[],{"categories":3737},[163],{"categories":3739},[134],{"categories":3741},[108],{"categories":3743},[116],{"categories":3745},[70],{"categories":3747},[111],{"categories":3749},[116,205],{"categories":3751},[116],{"categories":3753},[173],{"categories":3755},[70],{"categories":3757},[70],{"categories":3759},[166],{"categories":3761},[180],{"categories":3763},[116],{"categories":3765},[],{"categories":3767},[116],{"categories":3769},[70],{"categories":3771},[111],{"categories":3773},[],{"categories":3775},[],{"categories":3777},[70],{"categories":3779},[166],{"categories":3781},[70],{"categories":3783},[],{"categories":3785},[134],{"categories":3787},[],{"categories":3789},[134],{"categories":3791},[173],{"categories":3793},[108],{"categories":3795},[173],{"categories":3797},[70],{"categories":3799},[116],{"categories":3801},[70],{"categories":3803},[70],{"categories":3805},[180],{"categories":3807},[173],{"categories":3809},[],{"categories":3811},[134],{"categories":3813},[70],{"categories":3815},[],{"categories":3817},[70],{"categories":3819},[70],{"categories":3821},[116],{"categories":3823},[70],{"categories":3825},[116],{"categories":3827},[70],{"categories":3829},[70],{"categories":3831},[70],{"categories":3833},[70],{"categories":3835},[111],{"categories":3837},[],{"categories":3839},[119],{"categories":3841},[134],{"categories":3843},[116],{"categories":3845},[70],{"categories":3847},[],{"categories":3849},[173],{"categories":3851},[70],{"categories":3853},[70],{"categories":3855},[70],{"categories":3857},[116],{"categories":3859},[134],{"categories":3861},[70],{"categories":3863},[70],{"categories":3865},[70],{"categories":3867},[111],{"categories":3869},[70],{"categories":3871},[116],{"categories":3873},[163],{"categories":3875},[],{"categories":3877},[166],{"categories":3879},[70],{"categories":3881},[],{"categories":3883},[134],{"categories":3885},[180],{"categories":3887},[],{"categories":3889},[],{"categories":3891},[134],{"categories":3893},[134],{"categories":3895},[70],{"categories":3897},[180],{"categories":3899},[108],{"categories":3901},[116],{"categories":3903},[70],{"categories":3905},[116],{"categories":3907},[70],{"categories":3909},[111],{"categories":3911},[],{"categories":3913},[166],{"categories":3915},[],{"categories":3917},[134],{"categories":3919},[166],{"categories":3921},[173],{"categories":3923},[116],{"categories":3925},[163],{"categories":3927},[166],{"categories":3929},[166],{"categories":3931},[],{"categories":3933},[134],{"categories":3935},[70],{"categories":3937},[70],{"categories":3939},[173],{"categories":3941},[],{"categories":3943},[134],{"categories":3945},[134],{"categories":3947},[134],{"categories":3949},[],{"categories":3951},[116],{"categories":3953},[70],{"categories":3955},[],{"categories":3957},[108],{"categories":3959},[111],{"categories":3961},[],{"categories":3963},[70],{"categories":3965},[70],{"categories":3967},[],{"categories":3969},[173],{"categories":3971},[],{"categories":3973},[],{"categories":3975},[],{"categories":3977},[],{"categories":3979},[70],{"categories":3981},[134],{"categories":3983},[],{"categories":3985},[],{"categories":3987},[70],{"categories":3989},[70],{"categories":3991},[70],{"categories":3993},[166],{"categories":3995},[70],{"categories":3997},[166],{"categories":3999},[],{"categories":4001},[166],{"categories":4003},[166],{"categories":4005},[205],{"categories":4007},[116],{"categories":4009},[173],{"categories":4011},[],{"categories":4013},[],{"categories":4015},[166],{"categories":4017},[173],{"categories":4019},[173],{"categories":4021},[173],{"categories":4023},[],{"categories":4025},[108],{"categories":4027},[173],{"categories":4029},[173],{"categories":4031},[108],{"categories":4033},[173],{"categories":4035},[111],{"categories":4037},[173],{"categories":4039},[173],{"categories":4041},[173],{"categories":4043},[166],{"categories":4045},[134],{"categories":4047},[134],{"categories":4049},[70],{"categories":4051},[173],{"categories":4053},[166],{"categories":4055},[205],{"categories":4057},[166],{"categories":4059},[166],{"categories":4061},[166],{"categories":4063},[],{"categories":4065},[111],{"categories":4067},[],{"categories":4069},[205],{"categories":4071},[173],{"categories":4073},[173],{"categories":4075},[173],{"categories":4077},[116],{"categories":4079},[134,111],{"categories":4081},[166],{"categories":4083},[],{"categories":4085},[],{"categories":4087},[166],{"categories":4089},[],{"categories":4091},[166],{"categories":4093},[134],{"categories":4095},[116],{"categories":4097},[],{"categories":4099},[173],{"categories":4101},[70],{"categories":4103},[163],{"categories":4105},[],{"categories":4107},[70],{"categories":4109},[],{"categories":4111},[134],{"categories":4113},[108],{"categories":4115},[166],{"categories":4117},[],{"categories":4119},[173],{"categories":4121},[134],[4123,4295,4367,4441],{"id":4124,"title":4125,"ai":4126,"body":4132,"categories":4231,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":4232,"navigation":88,"path":4282,"published_at":4283,"question":71,"scraped_at":4284,"seo":4285,"sitemap":4286,"source_id":4287,"source_name":4288,"source_type":95,"source_url":4289,"stem":4290,"tags":4291,"thumbnail_url":71,"tldr":4292,"tweet":71,"unknown_tags":4293,"__hash__":4294},"summaries\u002Fsummaries\u002F41385aa667a182ac-ai-agent-memory-4-dimensions-benchmarks-tool-tiers-summary.md","AI Agent Memory: 4 Dimensions, Benchmarks, Tool Tiers",{"provider":7,"model":4127,"input_tokens":4128,"output_tokens":4129,"processing_time_ms":4130,"cost_usd":4131},"x-ai\u002Fgrok-4.1-fast",8370,2671,22518,0.00298685,{"type":14,"value":4133,"toc":4226},[4134,4138,4157,4160,4163,4167,4173,4179,4185,4188,4192,4211],[17,4135,4137],{"id":4136},"memorys-four-dimensions-drive-15-point-benchmark-gaps","Memory's Four Dimensions Drive 15-Point Benchmark Gaps",[22,4139,4140,4141,4144,4145,4148,4149,4152,4153,4156],{},"AI agent memory breaks into four interdependent dimensions: ",[39,4142,4143],{},"storage"," (vector DBs, graphs, key-value for indexing), ",[39,4146,4147],{},"curation"," (resolving contradictions\u002Fduplicates to avoid noise), ",[39,4150,4151],{},"retrieval"," (beyond semantic similarity to relevance\u002Ftimeliness), and ",[39,4154,4155],{},"lifecycle"," (consolidation, promotion, retirement to prevent haystack growth). Independent benchmarks like Atlan's 2026 analysis reveal up to 15-point accuracy gaps on temporal queries across architectures—pure vectors fail 'what happened last Tuesday?' while graphs excel but add complexity.",[22,4158,4159],{},"ECAI 2025 paper (arXiv:2504.19413) on LOCOMO dataset (long-context conversational recall: single-hop, temporal, multi-hop, open-domain) tested 10 approaches. Full-context (entire history in prompt) tops accuracy but incurs 9.87s median\u002F17.12s p95 latency and 14x token costs vs. selective retrieval—unusable in production. Mem0 hits 91.6 on LoCoMo\u002F93.4 on LongMemEval at \u003C7,000 tokens\u002Fretrieval (vs. 25k+ full-context). Letta scores 83.2% on LongMemEval. MemGPT originally reached 93.4% on Deep Memory Retrieval vs. 35.3% recursive summarization baseline. Key lesson: architectures trade accuracy for speed\u002Fcost; no one nails all dimensions.",[22,4161,4162],{},"Market context amplifies stakes—AI agents market: $7.84B (2025) to $52.62B (2030, 46.3% CAGR per MarketsandMarkets\u002FGrand View). 80% enterprise apps embed AI copilots (IDC 2026), 40% integrate task agents (Gartner), 88% orgs use AI (McKinsey 2025 survey of 1,993 across 105 countries)—yet only 6% are 'high performers' (>5% EBIT from AI), largely due to memory gaps causing forgotten learnings.",[17,4164,4166],{"id":4165},"tiered-tools-storage-frameworks-purpose-built-layers","Tiered Tools: Storage, Frameworks, Purpose-Built Layers",[22,4168,4169,4172],{},[39,4170,4171],{},"Tier 1: Storage (vector DBs, not full memory)","—Pinecone (managed scale, ecosystem), Weaviate (hybrid vector\u002Fkeyword, HIPAA), Qdrant (Rust efficiency, payload filtering, SOC2). Benchmarks (Tensorblue 2025): Pinecone\u002FQdrant 99%+ recall. Build curation\u002Fretrieval\u002Flifecycle on top.",[22,4174,4175,4178],{},[39,4176,4177],{},"Tier 2: Framework-Coupled","—LangMem (episodic\u002Fsemantic\u002Fprocedural memory, self-rewriting prompts; frictionless for LangGraph users). Letta (ex-MemGPT: LLM-as-OS with RAM\u002Fdisk analogy; 16.4k GitHub stars; Apache-2.0; full framework). Strong for control but ecosystem lock-in.",[22,4180,4181,4184],{},[39,4182,4183],{},"Tier 3: Standalone Memory","—Mem0 (48k GitHub stars, $24M funding; user\u002Fsession\u002Fagent scopes, hybrid vector\u002Fgraph\u002FKV, self-edits conflicts; 21 framework integrations, 19 vector backends). Zep (Graphiti temporal graphs with valid_at\u002Finvalid_at timestamps; 63.8% LongMemEval temporal; 20k stars; SOC2\u002FHIPAA). Cognee (graph-native from unstructured data; ideal for RAG\u002Fentity relations\u002Fcustomer intel). Zep\u002FCognee shine on temporal\u002Frelational queries vectors miss.",[22,4186,4187],{},"Vektor (local SQLite, AUDN curation loop, MAGMA multi-dim graph retrieval, REM consolidation; Node.js\u002FTS, $9\u002Fmo flat) targets JS devs avoiding cloud\u002Fquery fees.",[17,4189,4191],{"id":4190},"unsolved-gaps-and-decision-framework","Unsolved Gaps and Decision Framework",[22,4193,4194,4195,4198,4199,4202,4203,4206,4207,4210],{},"Persistent issues: ",[39,4196,4197],{},"temporal reasoning"," (vectors weak), ",[39,4200,4201],{},"noise floor"," (append-only slows retrieval > full-context), ",[39,4204,4205],{},"governance"," (no glossary\u002Flineage in 8 frameworks), ",[39,4208,4209],{},"fragmentation"," (13+ frameworks). Plan for months-long runs—consolidate early.",[22,4212,4213,4214,4217,4218,4221,4222,4225],{},"Choose via: 1) ",[39,4215,4216],{},"Stack","—LangMem (Python\u002FLangGraph), Mem0 (agnostic), Zep (temporal), Cognee (graphs), Pinecone\u002Fetc. (scale), Vektor (Node.js local). 2) ",[39,4219,4220],{},"Bottleneck","—storage scale (Tier1), intelligence (Tier3), temporal (Zep). 3) ",[39,4223,4224],{},"Noise","—proactive curation\u002Flifecycle tools. Research signals graphs\u002Ftemporal rising; field early—50% genAI firms pilot agents by 2027 (Deloitte).",{"title":63,"searchDepth":64,"depth":64,"links":4227},[4228,4229,4230],{"id":4136,"depth":64,"text":4137},{"id":4165,"depth":64,"text":4166},{"id":4190,"depth":64,"text":4191},[70],{"content_references":4233,"triage":4279},[4234,4240,4243,4247,4251,4254,4258,4261,4263,4265,4270,4273,4275],{"type":4235,"title":4236,"publisher":4237,"url":4238,"context":4239},"report","AI Agents Market Report","MarketsandMarkets","https:\u002F\u002Fwww.marketsandmarkets.com\u002FMarket-Reports\u002Fai-agents-market-15761548.html","cited",{"type":4235,"title":4236,"publisher":4241,"url":4242,"context":4239},"Grand View Research","https:\u002F\u002Fwww.grandviewresearch.com\u002Findustry-analysis\u002Fai-agents-market-report",{"type":4235,"title":4244,"publisher":4245,"url":4246,"context":4239},"2025 State of AI Survey","McKinsey","https:\u002F\u002Fazumo.com\u002Fartificial-intelligence\u002Fai-insights\u002Fai-agent-statistics",{"type":77,"title":4248,"author":4249,"url":4250,"context":4239},"Mem0 ECAI 2025 Paper","Prateek Chhikara, Dev Khant, Saket Aryan, Taranjeet Singh, Deshraj Yadav","https:\u002F\u002Farxiv.org\u002Fabs\u002F2504.19413",{"type":4252,"title":4253,"context":4239},"dataset","LOCOMO Dataset",{"type":77,"title":4255,"author":4256,"url":4257,"context":4239},"MemGPT Paper","Charles Packer, Sarah Wooders, Kevin Lin, Vivian Fang, Shishir G. Patil, Joseph Gonzalez","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2310.08560",{"type":77,"title":4259,"url":4260,"context":4239},"Zep Graphiti Paper","https:\u002F\u002Farxiv.org\u002Fabs\u002F2501.13956",{"type":4252,"title":4262,"context":4239},"LongMemEval Benchmark",{"type":4252,"title":4264,"context":4239},"Deep Memory Retrieval Benchmark",{"type":4266,"title":4267,"url":4268,"context":4269},"tool","Pinecone","https:\u002F\u002Fwww.pinecone.io\u002F","recommended",{"type":4266,"title":4271,"url":4272,"context":4269},"Mem0","https:\u002F\u002Fmem0.ai\u002F",{"type":4266,"title":4274,"context":4269},"Zep",{"type":4266,"title":4276,"url":4277,"context":4278},"Vektor Memory","https:\u002F\u002Fmedium.com\u002F@vektormemory","mentioned",{"relevance":83,"novelty":84,"quality":84,"actionability":84,"composite":4280,"reasoning":4281},4.35,"Category: AI & LLMs. The article provides a deep dive into the four dimensions of AI agent memory, addressing specific pain points such as the trade-offs between accuracy, speed, and cost in production environments. It offers actionable insights on tool tiers and benchmarks that product builders can leverage to optimize their AI implementations.","\u002Fsummaries\u002F41385aa667a182ac-ai-agent-memory-4-dimensions-benchmarks-tool-tiers-summary","2026-05-03 07:33:32","2026-05-03 17:01:01",{"title":4125,"description":63},{"loc":4282},"41385aa667a182ac","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fthe-state-of-ai-agent-memory-in-2026-what-the-research-actually-shows-0b77063c2c2b?source=rss----98111c9905da---4","summaries\u002F41385aa667a182ac-ai-agent-memory-4-dimensions-benchmarks-tool-tiers-summary",[98,100,99,101],"No single tool solves agent memory's four dimensions—storage, curation, retrieval, lifecycle. ECAI benchmarks show full-context approaches hit 100% accuracy but with 9.87s median latency and 14x token costs; selective systems like Mem0 score 91.6% on LoCoMo at \u003C7k tokens\u002Fcall. Match tiers to stack and bottlenecks like temporal queries.",[],"NFaBLi9gaRDQVQngpszZoDYYhQEvOsBKfsVgZ41f_tM",{"id":4296,"title":4297,"ai":4298,"body":4303,"categories":4347,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":4348,"navigation":88,"path":4357,"published_at":4358,"question":71,"scraped_at":4358,"seo":4359,"sitemap":4360,"source_id":4361,"source_name":94,"source_type":95,"source_url":4353,"stem":4362,"tags":4363,"thumbnail_url":71,"tldr":4364,"tweet":71,"unknown_tags":4365,"__hash__":4366},"summaries\u002Fsummaries\u002F5f69fc0db21f70d7-trustworthy-agent-networks-why-trust-must-be-archi-summary.md","Trustworthy Agent Networks: Why Trust Must Be Architectural",{"provider":7,"model":8,"input_tokens":4299,"output_tokens":4300,"processing_time_ms":4301,"cost_usd":4302},4104,505,3277,0.0017835,{"type":14,"value":4304,"toc":4343},[4305,4309,4312,4316,4319,4340],[17,4306,4308],{"id":4307},"the-case-for-architectural-trust","The Case for Architectural Trust",[22,4310,4311],{},"The core argument presented in this paper is that as we move from single-agent systems to complex, multi-agent networks, trust cannot be treated as a peripheral feature or a post-hoc safety layer. Instead, trust must be \"baked in\" to the fundamental architecture of the system. The authors posit that current approaches—which often rely on external monitoring or reactive guardrails—are insufficient for the dynamic, emergent behaviors inherent in agent-to-agent communication.",[17,4313,4315],{"id":4314},"moving-beyond-reactive-guardrails","Moving Beyond Reactive Guardrails",[22,4317,4318],{},"The authors argue that bolt-on security measures fail because they lack the context of the agent's internal reasoning and the history of its interactions. A trustworthy network requires a framework where:",[4320,4321,4322,4328,4334],"ol",{},[36,4323,4324,4327],{},[39,4325,4326],{},"Verifiable Provenance:"," Every action and decision within the network must be traceable, allowing for auditability in how information flows between agents.",[36,4329,4330,4333],{},[39,4331,4332],{},"Inherent Accountability:"," Agents must operate within a protocol that enforces constraints on their autonomy, ensuring that actions are aligned with predefined safety and performance objectives.",[36,4335,4336,4339],{},[39,4337,4338],{},"Dynamic Verification:"," Trust is not a static state but a continuous process of verification. The network must maintain a state of 'zero trust' where every interaction between agents is validated against reputation metrics and behavioral norms.",[22,4341,4342],{},"By shifting the focus from reactive monitoring to proactive, architectural design, developers can build agent networks that are resilient to adversarial manipulation and capable of self-correction. This approach treats trust as a first-class citizen, ensuring that the system remains reliable even as the number of autonomous agents scales.",{"title":63,"searchDepth":64,"depth":64,"links":4344},[4345,4346],{"id":4307,"depth":64,"text":4308},{"id":4314,"depth":64,"text":4315},[70],{"content_references":4349,"triage":4354},[4350],{"type":77,"title":4351,"author":4352,"url":4353,"context":4239},"Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On","Various","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.19035",{"relevance":84,"novelty":84,"quality":84,"actionability":85,"composite":4355,"reasoning":4356},3.8,"Category: AI & LLMs. The article discusses the integration of trust into the architecture of multi-agent systems, addressing a specific pain point regarding the reliability and security of AI interactions. It provides a framework for verifiable provenance and inherent accountability, which can be actionable for developers looking to implement trust in their AI systems.","\u002Fsummaries\u002F5f69fc0db21f70d7-trustworthy-agent-networks-why-trust-must-be-archi-summary","2026-05-20 07:00:19",{"title":4297,"description":63},{"loc":4357},"5f69fc0db21f70d7","summaries\u002F5f69fc0db21f70d7-trustworthy-agent-networks-why-trust-must-be-archi-summary",[98,100,101],"Trust in multi-agent systems cannot be an afterthought; it must be integrated into the network architecture itself to ensure reliability, security, and accountability in autonomous interactions.",[],"pR9O-SG8aWkfS6UBxahTZrPZPRg9P_EKs4b2bcC27W8",{"id":4368,"title":4369,"ai":4370,"body":4375,"categories":4423,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":4424,"navigation":88,"path":4431,"published_at":4432,"question":71,"scraped_at":4432,"seo":4433,"sitemap":4434,"source_id":4435,"source_name":94,"source_type":95,"source_url":4428,"stem":4436,"tags":4437,"thumbnail_url":71,"tldr":4438,"tweet":71,"unknown_tags":4439,"__hash__":4440},"summaries\u002Fsummaries\u002F359656242efa9ceb-bounding-commitments-in-personalized-ai-systems-summary.md","Bounding Commitments in Personalized AI Systems",{"provider":7,"model":8,"input_tokens":4371,"output_tokens":4372,"processing_time_ms":4373,"cost_usd":4374},4111,593,3699,0.00191725,{"type":14,"value":4376,"toc":4418},[4377,4381,4384,4388,4391,4411,4415],[17,4378,4380],{"id":4379},"the-limitation-of-recall-based-personalization","The Limitation of Recall-Based Personalization",[22,4382,4383],{},"Most current personalized language systems rely on retrieval-augmented generation (RAG) or long-context windows to 'recall' user history. While effective for surface-level tasks, this approach treats all retrieved information as equally valid and permanent. The core argument is that recall is insufficient because it lacks a mechanism for 'bounding commitments'—the explicit definition of how a model should interpret, prioritize, and eventually discard specific user data points.",[17,4385,4387],{"id":4386},"implementing-bounding-commitments","Implementing Bounding Commitments",[22,4389,4390],{},"To build robust personalized systems, developers must implement explicit constraints that govern the lifecycle of user information. This involves three primary strategies:",[4320,4392,4393,4399,4405],{},[36,4394,4395,4398],{},[39,4396,4397],{},"Scope Definition:"," Rather than dumping all user history into a context window, systems should categorize information by relevance and domain. By bounding what a model is allowed to 'commit' to memory, you reduce the risk of the model conflating transient user preferences with core system instructions.",[36,4400,4401,4404],{},[39,4402,4403],{},"Reliability Weighting:"," Not all user-provided data is factual or current. Systems should implement a metadata layer that assigns confidence scores to retrieved information. If a user provides conflicting information over time, the system must have a logic-based hierarchy to determine which 'commitment' takes precedence.",[36,4406,4407,4410],{},[39,4408,4409],{},"Temporal Expiration:"," Personalized knowledge often has a shelf life. The paper argues for explicit expiration policies where information is automatically pruned or re-verified. This prevents the model from relying on outdated user context that may lead to stale or incorrect outputs.",[17,4412,4414],{"id":4413},"moving-toward-intent-aware-memory","Moving Toward Intent-Aware Memory",[22,4416,4417],{},"Personalization should be treated as a state-management problem rather than a search problem. By moving from a 'recall-everything' architecture to one that enforces strict boundaries on what the model considers 'true' or 'relevant' at any given moment, developers can create systems that are more predictable, easier to debug, and less prone to the hallucinations common in long-context AI applications.",{"title":63,"searchDepth":64,"depth":64,"links":4419},[4420,4421,4422],{"id":4379,"depth":64,"text":4380},{"id":4386,"depth":64,"text":4387},{"id":4413,"depth":64,"text":4414},[70],{"content_references":4425,"triage":4429},[4426],{"type":77,"title":4427,"url":4428,"context":4239},"Recall Isn't Enough: Bounding Commitments in Personalized Language Systems","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.16712",{"relevance":83,"novelty":84,"quality":84,"actionability":84,"composite":4280,"reasoning":4430},"Category: AI & LLMs. The article discusses the concept of 'bounding commitments' in personalized AI systems, which directly addresses the audience's need for practical applications in AI integration. It provides actionable strategies for developers to improve personalization, such as scope definition and reliability weighting, making it highly relevant and actionable.","\u002Fsummaries\u002F359656242efa9ceb-bounding-commitments-in-personalized-ai-systems-summary","2026-05-19 07:00:57",{"title":4369,"description":63},{"loc":4431},"359656242efa9ceb","summaries\u002F359656242efa9ceb-bounding-commitments-in-personalized-ai-systems-summary",[99,100,101],"Personalized language systems must move beyond simple information recall to include 'bounding commitments'—explicit constraints that define the scope, reliability, and expiration of user-specific knowledge to prevent model drift and hallucination.",[],"9TuOnYFurTTwm-kyeiSJrfYi8Xr4K32ROWJ-6VK7V7Q",{"id":4442,"title":4443,"ai":4444,"body":4449,"categories":4495,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":4496,"navigation":88,"path":4506,"published_at":4507,"question":71,"scraped_at":4508,"seo":4509,"sitemap":4510,"source_id":4511,"source_name":4512,"source_type":95,"source_url":4513,"stem":4514,"tags":4515,"thumbnail_url":71,"tldr":4516,"tweet":71,"unknown_tags":4517,"__hash__":4518},"summaries\u002Fsummaries\u002Fa012b47e318fcbff-claude-dreaming-6x-agent-boost-via-memory-cron-job-summary.md","Claude Dreaming: 6x Agent Boost via Memory Cron Jobs",{"provider":7,"model":4127,"input_tokens":4445,"output_tokens":4446,"processing_time_ms":4447,"cost_usd":4448},3920,1637,27309,0.00158,{"type":14,"value":4450,"toc":4490},[4451,4455,4458,4461,4465,4468,4471,4475],[17,4452,4454],{"id":4453},"memory-optimization-mechanics-deliver-cross-session-intelligence","Memory Optimization Mechanics Deliver Cross-Session Intelligence",[22,4456,4457],{},"Anthropic's Dreaming feature, launched as a research preview at Code w\u002F Claude 2026 on May 6, operates as a scheduled cron job that processes your Claude agent's memory file offline. Between user sessions, it scans all prior interactions, eliminates duplicate entries to reduce bloat, resolves factual contradictions by prioritizing consistent patterns, and extracts multi-session insights—like user preferences or recurring tasks—that no single conversation could detect. This isn't a context window expansion or model upgrade; it's targeted file editing that keeps memory lean and coherent, enabling agents to maintain state across disjointed interactions without hallucinating from noisy data.",[22,4459,4460],{},"To implement a similar system yourself, use the public open-source replica: run a nightly script that ingests session logs, applies deduplication via similarity clustering (e.g., embedding-based cosine thresholds >0.9), merges conflicting facts with confidence scoring, and appends synthesized summaries. This approach scales memory indefinitely without token limits, as the job outputs a compact, structured file Claude reloads on next use.",[17,4462,4464],{"id":4463},"harveys-6x-completion-rate-proves-production-value","Harvey's 6x Completion Rate Proves Production Value",[22,4466,4467],{},"Legal AI startup Harvey reported roughly 6x higher agent task completion rates in internal tests after enabling Dreaming. Agents previously stalled on long-running legal research or multi-step drafting due to memory overload—duplicates caused loops, contradictions led to errors. Post-Dreaming, optimized memory let agents chain 10x more steps reliably, surfacing patterns like \"user prefers concise briefs\" from weeks of chats. This validates Dreaming for production agents: expect 4-8x gains in workflows with >50 sessions, but only if your memory format supports structured edits (JSONL with metadata timestamps works best).",[22,4469,4470],{},"Replicate Harvey's setup by logging sessions to a vector store, then cron the optimization—test on 100-sample legal datasets shows completion jumps from 15% to 85% on chained queries.",[17,4472,4474],{"id":4473},"three-under-discussed-risks-in-auto-dreaming-defaults","Three Under-discussed Risks in Auto-Dreaming Defaults",[22,4476,4477,4478,4481,4482,4485,4486,4489],{},"Despite gains, Dreaming introduces pitfalls: (1) ",[39,4479,4480],{},"Over-pruning erodes nuance","—aggressive duplicate removal can strip context-specific details, like evolving client instructions; tune similarity thresholds to 0.85 max. (2) ",[39,4483,4484],{},"Contradiction resolution biases toward recency",", potentially overwriting valid early facts; add user-voted weights or manual review queues. (3) ",[39,4487,4488],{},"GDPR compliance gaps in defaults","—Auto Dream processes all session data without explicit consent logging, risking fines under EU data minimization rules; implement opt-in flags and anonymization before cron runs. Avoid blindly enabling; audit memory diffs post-job to catch drifts early.",{"title":63,"searchDepth":64,"depth":64,"links":4491},[4492,4493,4494],{"id":4453,"depth":64,"text":4454},{"id":4463,"depth":64,"text":4464},{"id":4473,"depth":64,"text":4474},[70],{"content_references":4497,"triage":4503},[4498,4500],{"type":4266,"title":4499,"context":4278},"Harvey",{"type":4501,"title":4502,"context":4278},"event","Code w\u002F Claude 2026",{"relevance":83,"novelty":84,"quality":84,"actionability":83,"composite":4504,"reasoning":4505},4.55,"Category: AI & LLMs. The article provides a detailed explanation of Anthropic's Dreaming feature, which directly addresses the audience's need for practical AI tooling and optimization strategies. It includes actionable steps for implementing a similar memory optimization system, making it highly relevant and immediately applicable.","\u002Fsummaries\u002Fa012b47e318fcbff-claude-dreaming-6x-agent-boost-via-memory-cron-job-summary","2026-05-15 14:29:17","2026-05-15 15:00:28",{"title":4443,"description":63},{"loc":4506},"a012b47e318fcbff","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fclaude-dreaming-anthropic-memory-explained-a038f17f7d13?source=rss----5517fd7b58a6---4","summaries\u002Fa012b47e318fcbff-claude-dreaming-6x-agent-boost-via-memory-cron-job-summary",[99,98,100],"Anthropic's Dreaming runs a cron job between sessions to prune duplicates, resolve contradictions, and surface patterns in Claude's memory file, delivering 6x higher agent completion rates per Harvey's tests.",[],"A-5IJXRSzmkq11VgJ5B1H0z16Gdg3AXxtIjUwAyGXQc"]