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It is organized around two system goals. Adaptation is pursued through recursive improvement of versioned model-harness pairs, where experience from one configuration is evaluated under an external contract and used to construct its successor. Collaboration is pursued via the Mixture-of-LoRA (MoL) architecture that freezes a base model, composes specialist LoRA adapters, and selects one LoRA per user turn. The flagship Macaron-V1-Venti combines a 744B GLM-5.2 base with four LoRAs for chat, agent, coding, and GenUI; the Qwen3.6-based Macaron-V1-Tall (50B) uses the same design for local deployment. This report presents Macaron-V1 as a co-designed system spanning architecture, algorithms, and infrastructure. The MoL architecture supports continual learning through extensible LoRA specialists. The algorithm combines Model-Harness Co-design and recursive self-improvement loop, including the UI4A component-native GenUI harness, a stateful action substrate, versioned HCP contract, and the agentic RL framework MindForge. The supporting infrastructure includes the post-training platform MinT, the long-context RL method LongStraw, and stability techniques for sparse MoE and DSA base models. We evaluate Macaron-V1 on Personal Intelligence, GenUI, and general capability benchmarks against frontier baselines. Our results validate the current system, while compounding gains from continual learning and collective intelligence remain open questions.","upvotes":157,"discussionId":"6a7a8c99019ce76dc7b3aa30","ai_summary":"Macaron-V1 is an open agent-model family that uses a Mixture-of-LoRA architecture and recursive self-improvement to enable continual learning and collaboration across specialized tasks.","ai_keywords":["Mixture-of-LoRA","LoRA adapters","Model-Harness Co-design","recursive self-improvement","MindForge","LongStraw","sparse MoE","GenUI","continual learning"],"ai_summary_model":"thinkingmachines/Inkling-Small","organization":{"_id":"69d05e49e99e437a3b18bebc","name":"mindlab-research","fullname":"Mind Lab","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/64303a4484f3ed1ce62a2c5a/0L3sMuvL2JGls3zUKOKYU.jpeg"}},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"64303a4484f3ed1ce62a2c5a","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64303a4484f3ed1ce62a2c5a/_pWlU7d5IwrIhEnk0_yFc.jpeg","isPro":false,"fullname":"Andrew Chen","user":"anchen1011","type":"user"},{"_id":"677aa4d51d4f6bcb2e217c93","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/BPjftZ9rVhaGJfEBRDmLb.png","isPro":false,"fullname":"Xiaoteng Ma","user":"xtma","type":"user"},{"_id":"6621e57973c423da59461b65","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6621e57973c423da59461b65/dbbMP6c7rGA7um97_OKGY.jpeg","isPro":false,"fullname":"Atlas Zeng","user":"Menghuan1918","type":"user"},{"_id":"65aa20bbb68db4f26ebc12a5","avatarUrl":"/avatars/9b4692d2db69b42297306eba15a8bf0d.svg","isPro":false,"fullname":"guoshuai han","user":"0Han0","type":"user"},{"_id":"668775b5c82095d2543b47a3","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/gPgYQAj_WOqTtehiWIa-6.jpeg","isPro":false,"fullname":"NolanHo","user":"NolanHo","type":"user"},{"_id":"6677dd120f480511595f489d","avatarUrl":"/avatars/23787ea6190b811d1b9608489173c716.svg","isPro":false,"fullname":"bsqaq","user":"bsqaq","type":"user"},{"_id":"65d4a5788fa4ad07bc29a48b","avatarUrl":"/avatars/ee70eaae8e19ab0472ff72eb3992fb2f.svg","isPro":false,"fullname":"y","user":"rioy","type":"user"},{"_id":"62e217e52e4cab6e39dd54c2","avatarUrl":"/avatars/18eb5199171711585e928906d7ee75bc.svg","isPro":false,"fullname":"JuneGao","user":"JuneGao","type":"user"},{"_id":"6533bbc824173495ad0513aa","avatarUrl":"/avatars/01ddbe00e26cea1e27c3fdcb96423814.svg","isPro":false,"fullname":"chengyuan","user":"chengyuan0522","type":"user"},{"_id":"68a9c660f5f4b7a2a6cb1824","avatarUrl":"/avatars/63be535e1912c463438b7ce0c318db71.svg","isPro":false,"fullname":"caosong","user":"sant1an","type":"user"},{"_id":"6577e03b3ceeb2f078f66512","avatarUrl":"/avatars/27fe1cff6bc8e6e98966359d7ca4adc4.svg","isPro":false,"fullname":"Xiang Lei","user":"Lei00764","type":"user"},{"_id":"6a0421fdafb8cb93b94cb932","avatarUrl":"/avatars/f23232a3cf1c04ef066c995f501966e1.svg","isPro":false,"fullname":"11","user":"heraaaaaaa","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":2,"organization":{"_id":"69d05e49e99e437a3b18bebc","name":"mindlab-research","fullname":"Mind Lab","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/64303a4484f3ed1ce62a2c5a/0L3sMuvL2JGls3zUKOKYU.jpeg"},"query":{}}">

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