🐦 Twitter Post Details

Viewing enriched Twitter post

@dair_ai

Agents build useful memory during tasks, but that memory is trapped. So the big question is whether a single memory system can be shared across different models. If you want to transfer it to a different model, the performance often gets worse, not better. New research tackles the why and offers a fix. MemCollab uses contrastive trajectory distillation to separate universal task knowledge from agent-specific biases. It contrasts reasoning trajectories from different agents to extract abstract reasoning constraints that capture shared task-level invariants. A task-aware retrieval system then conditions on the task category to apply the right constraints at the right time. As teams run heterogeneous agents with different models, collaborative memory becomes a shared reasoning resource rather than a liability. MemCollab improves accuracy and inference-time efficiency across mathematical reasoning and code generation, even in cross-model-family settings. Paper: https://t.co/GfbTUROsEZ Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

Media 1
Media 2
View on Twitter

📊 Media Metadata

{
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2036885342134173915/media_0.jpg",
      "filename": "media_0.jpg"
    },
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2036885342134173915/media_1.png",
      "filename": "media_1.png"
    }
  ],
  "processed_at": "2026-03-25T19:46:47.144073",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2036885342134173915",
  "url": "https://x.com/dair_ai/status/2036885342134173915",
  "twitterUrl": "https://twitter.com/dair_ai/status/2036885342134173915",
  "text": "Agents build useful memory during tasks, but that memory is trapped.\n\nSo the big question is whether a single memory system can be shared across different models.\n\nIf you want to transfer it to a different model, the performance often gets worse, not better.\n\nNew research tackles the why and offers a fix.\n\nMemCollab uses contrastive trajectory distillation to separate universal task knowledge from agent-specific biases.\n\nIt contrasts reasoning trajectories from different agents to extract abstract reasoning constraints that capture shared task-level invariants.\n\nA task-aware retrieval system then conditions on the task category to apply the right constraints at the right time.\n\nAs teams run heterogeneous agents with different models, collaborative memory becomes a shared reasoning resource rather than a liability.\n\nMemCollab improves accuracy and inference-time efficiency across mathematical reasoning and code generation, even in cross-model-family settings.\n\nPaper: https://t.co/GfbTUROsEZ\n\nLearn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c",
  "source": "Twitter for iPhone",
  "retweetCount": 1,
  "replyCount": 1,
  "likeCount": 6,
  "quoteCount": 1,
  "viewCount": 832,
  "createdAt": "Wed Mar 25 19:18:03 +0000 2026",
  "lang": "en",
  "bookmarkCount": 5,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2036885342134173915",
  "displayTextRange": [
    0,
    280
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "dair_ai",
    "url": "https://x.com/dair_ai",
    "twitterUrl": "https://twitter.com/dair_ai",
    "id": "889050642903293953",
    "name": "DAIR.AI",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1643277398522187778/31dedbLo_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/889050642903293953/1773242460",
    "description": "",
    "location": "",
    "followers": 92403,
    "following": 1,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Sun Jul 23 09:12:45 +0000 2017",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 4278,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 179,
    "statusesCount": 3035,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "2033181046104105379"
    ],
    "profile_bio": {
      "description": "Democratizing AI research, education, and technologies. New AI learning portal: https://t.co/LRnpZN7L4c",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [
            {
              "display_url": "academy.dair.ai",
              "expanded_url": "https://academy.dair.ai/",
              "indices": [
                80,
                103
              ],
              "url": "https://t.co/LRnpZN7L4c"
            }
          ],
          "user_mentions": []
        },
        "url": {
          "urls": [
            {
              "display_url": "dair.ai",
              "expanded_url": "https://www.dair.ai/",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/lkqPZtMU5s"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.twitter.com/SJfsg7HS2H",
        "expanded_url": "https://twitter.com/dair_ai/status/2036885342134173915/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": []
          },
          "orig": {
            "faces": []
          }
        },
        "id_str": "2036885338912940032",
        "indices": [
          281,
          304
        ],
        "media_key": "3_2036885338912940032",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARxEeGyCG2AACgACHER4bUIbgNsAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABHER4bIIbYAAKAAIcRHhtQhuA2wAA",
            "media_key": "3_2036885338912940032"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/HER4bIIbYAAbVqd.jpg",
        "original_info": {
          "focus_rects": [
            {
              "h": 764,
              "w": 1364,
              "x": 0,
              "y": 0
            },
            {
              "h": 1364,
              "w": 1364,
              "x": 0,
              "y": 0
            },
            {
              "h": 1555,
              "w": 1364,
              "x": 0,
              "y": 0
            },
            {
              "h": 1568,
              "w": 784,
              "x": 274,
              "y": 0
            },
            {
              "h": 1568,
              "w": 1364,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1568,
          "width": 1364
        },
        "sizes": {
          "large": {
            "h": 1568,
            "w": 1364
          }
        },
        "type": "photo",
        "url": "https://t.co/SJfsg7HS2H"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "urls": [
      {
        "display_url": "arxiv.org/abs/2603.23234",
        "expanded_url": "https://arxiv.org/abs/2603.23234",
        "indices": [
          981,
          1004
        ],
        "url": "https://t.co/GfbTUROsEZ"
      },
      {
        "display_url": "academy.dair.ai",
        "expanded_url": "https://academy.dair.ai/",
        "indices": [
          1057,
          1080
        ],
        "url": "https://t.co/LRnpZN7L4c"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}