@ai_fast_track
RT @TheTuringPost: 7 emerging memory architectures for AI agents ▪️ Agentic Memory (AgeMem) ▪️ Memex ▪️ MemRL ▪️ UMA (Unified Memory Agent…
Viewing enriched Twitter post
RT @TheTuringPost: 7 emerging memory architectures for AI agents ▪️ Agentic Memory (AgeMem) ▪️ Memex ▪️ MemRL ▪️ UMA (Unified Memory Agent…
{
"score": 0.34,
"score_components": {
"author": 0.09,
"engagement": 0.0,
"quality": 0.04000000000000001,
"source": 0.135,
"nlp": 0.05,
"recency": 0.025
},
"scored_at": "2026-03-16T18:32:54.005691",
"import_source": "api_import",
"source_tagged_at": "2026-03-16T18:32:54.005703",
"enriched": true,
"enriched_at": "2026-03-16T18:32:54.005706"
} {
"type": "tweet",
"id": "2033611473482653743",
"url": "https://x.com/ai_fast_track/status/2033611473482653743",
"twitterUrl": "https://twitter.com/ai_fast_track/status/2033611473482653743",
"text": "RT @TheTuringPost: 7 emerging memory architectures for AI agents\n\n▪️ Agentic Memory (AgeMem)\n▪️ Memex\n▪️ MemRL\n▪️ UMA (Unified Memory Agent…",
"source": "Twitter for iPhone",
"retweetCount": 110,
"replyCount": 17,
"likeCount": 536,
"quoteCount": 3,
"viewCount": 25844,
"createdAt": "Mon Mar 16 18:28:52 +0000 2026",
"lang": "en",
"bookmarkCount": 639,
"isReply": false,
"inReplyToId": null,
"conversationId": "2033611473482653743",
"displayTextRange": [
0,
140
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "ai_fast_track",
"url": "https://x.com/ai_fast_track",
"twitterUrl": "https://twitter.com/ai_fast_track",
"id": "1214567550891298816",
"name": "Farid",
"isVerified": false,
"isBlueVerified": false,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1559210322807881736/21bYos8e_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1214567550891298816/1660579647",
"description": "",
"location": "Montreal 🇨🇦",
"followers": 5574,
"following": 1349,
"status": "",
"canDm": false,
"canMediaTag": true,
"createdAt": "Tue Jan 07 15:20:56 +0000 2020",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 6332,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 381,
"statusesCount": 3681,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1583125709685673985"
],
"profile_bio": {
"description": "🚀 Mentor | IceVision Creator\n\n✨I help companies leverage AI and develop innovative products\n🧩I assist mentees in becoming the top 1% of AI practitioners",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"url": {
"urls": [
{
"display_url": "fastpath.one",
"expanded_url": "https://www.fastpath.one",
"indices": [
0,
23
],
"url": "https://t.co/XMih9mtOCF"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1271482878958940160",
"indices": [
3,
17
],
"name": "Ksenia_TuringPost",
"screen_name": "TheTuringPost"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": {
"type": "tweet",
"id": "2033142035218374889",
"url": "https://x.com/TheTuringPost/status/2033142035218374889",
"twitterUrl": "https://twitter.com/TheTuringPost/status/2033142035218374889",
"text": "7 emerging memory architectures for AI agents\n\n▪️ Agentic Memory (AgeMem)\n▪️ Memex\n▪️ MemRL\n▪️ UMA (Unified Memory Agent)\n▪️ Pancake\n▪️ Conditional memory\n▪️ Multi-Agent Memory from a Computer Architecture Perspective\n\nhttps://t.co/5X5LxirSEx https://t.co/5Hi0Gn3aA4",
"source": "Twitter for iPhone",
"retweetCount": 110,
"replyCount": 17,
"likeCount": 536,
"quoteCount": 3,
"viewCount": 25844,
"createdAt": "Sun Mar 15 11:23:29 +0000 2026",
"lang": "en",
"bookmarkCount": 639,
"isReply": false,
"inReplyToId": null,
"conversationId": "2033142035218374889",
"displayTextRange": [
0,
242
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "TheTuringPost",
"url": "https://x.com/TheTuringPost",
"twitterUrl": "https://twitter.com/TheTuringPost",
"id": "1271482878958940160",
"name": "Ksenia_TuringPost",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/2019196082727620608/iIXCFAJb_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1271482878958940160/1677096943",
"description": "",
"location": "Join over 102,000 readers",
"followers": 82612,
"following": 11471,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Fri Jun 12 16:42:17 +0000 2020",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 13009,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 7335,
"statusesCount": 18626,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2032753927725404399"
],
"profile_bio": {
"description": "Newsletter exploring AI&ML - AI 101, Agentic Workflow, Business insights. From ML history to AI trends. Led by @kseniase_ Know what you are talking about👇🏼",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": [
{
"id_str": "0",
"indices": [
111,
121
],
"name": "",
"screen_name": "kseniase_"
}
]
},
"url": {
"urls": [
{
"display_url": "turingpost.com/subscribe",
"expanded_url": "https://www.turingpost.com/subscribe",
"indices": [
0,
23
],
"url": "https://t.co/81IXvInDft"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/5Hi0Gn3aA4",
"expanded_url": "https://twitter.com/TheTuringPost/status/2033142035218374889/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"h": 72,
"w": 72,
"x": 535,
"y": 288
}
]
},
"orig": {
"faces": [
{
"h": 72,
"w": 72,
"x": 535,
"y": 288
}
]
}
},
"id_str": "2033142032957579264",
"indices": [
243,
266
],
"media_key": "3_2033142032957579264",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARw3K+gsWiAACgACHDcr6LMbIOkAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHDcr6CxaIAAKAAIcNyvosxsg6QAA",
"media_key": "3_2033142032957579264"
}
},
"media_url_https": "https://pbs.twimg.com/media/HDcr6CxaIAAi7qN.jpg",
"original_info": {
"focus_rects": [
{
"h": 720,
"w": 1285,
"x": 0,
"y": 21
},
{
"h": 741,
"w": 741,
"x": 46,
"y": 0
},
{
"h": 741,
"w": 650,
"x": 91,
"y": 0
},
{
"h": 741,
"w": 371,
"x": 231,
"y": 0
},
{
"h": 741,
"w": 1285,
"x": 0,
"y": 0
}
],
"height": 741,
"width": 1285
},
"sizes": {
"large": {
"h": 741,
"w": 1285
}
},
"type": "photo",
"url": "https://t.co/5Hi0Gn3aA4"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "turingpost.com/p/agenticmemory",
"expanded_url": "https://www.turingpost.com/p/agenticmemory",
"indices": [
219,
242
],
"url": "https://t.co/5X5LxirSEx"
}
],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
},
"isLimitedReply": false,
"article": null
}