Inkundla Yokuthuthukisa
Ithegi yethuluzi le-AIEZZ
Ubheka imikhiqizo ye-AI enethegi ethi “Inkundla Yokuthuthukisa”, enemiphumela efanayo engu-10.
Orchard – Uhlaka lwe-Agentic AI oluvulelekile olwakhiwe yi-Microsoft ResearchI-ejenti ye-AII-Orchard – uhlaka lwe-Agentic AI oluvulelekile olwakhiwe yi-Microsoft Research. Uhlaka lugxile kusevisi yezindawo i-Orchard Env esekelwe ku-Kubernetes, futhi lusekela ukusetshenziswa kabusha kwama-sandbox ezizindeni ezahlukene ukuze kwenziwe i-data distillation, i-reinforcement learning rollout nokuhlola. Luhlanganisa izimo ezintathu ezinkulu: ubunjiniyela besoftware, ukuzulazula ku-browser kanye nomsizi womuntu siqu. Lunikeza ama-recipe aphelele okuqeqesha e-SFT + RL, kanye nama-trajectory angu-107K e-SWE nedatha engu-3,070 ye-GUI multimodal rollout, futhi lungakwazi ukuqeqeshwa ngokuqondile kusukela ekuqaleni kuye ekugcineni kuma-harness angempela afana ne-Codex ne-OpenClaw. Lubhekiswe emaqenjini ezemfundo nezimboni acwaninga futhi athuthukisa ama-Agent, i-Orchard inezindleko eziphansi zekhompyutha nezokusingathwa, futhi ikhono layo lokusebenza kuma-harness ahlukahlukene lisiza amamodeli amancane ukusondela ekusebenzeni kwezinhlelo ezihamba phambili.00
wigoloI-ejenti ye-AII-wigolo iyithuluzi lokusesha lendawo elinomthombo ovulekile, elixhuma kuma-Agent okuhlela afana ne-Claude Code ne-Cursor nge-MCP. Ayidingi i-API Key, futhi ngaphandle kwezindleko ungenza usesho, uthwebule amakhasi ewebhu, ukhase isayithi lonke, ukhiphe idatha ehlelekile, ugcine inqolobane futhi wenze ucwaningo endaweni yangakini...00
MemHarness – uhlaka lokwakha kabusha inkumbulo oluqalwe yi-Shanghai AI Lab nabanyeI-ejenti ye-AII-MemHarness iwuhlaka lokwakha kabusha inkumbulo lwama-LLM Agent, olwethulwe ngokuhlanganyela yi-Shanghai AI Lab namanyuvesi ahlanganisa i-Zhejiang University, i-Fudan University kanye ne-Shanghai Jiao Tong University. Ifaka izinyathelo zokuhlaziya nokwakha kabusha phakathi kokusesha inkumbulo nokwenza isenzo, igcine, ibhale kabusha noma ilahle okuhlangenwe nakho kwangaphambilini ngokuhambisana nomongo wamanje. Isebenzisa ukuqeqeshwa kwe-GRPO kusukela ekuqaleni kuye ekugcineni ngaphandle kwedatha eyengeziwe enelebula eyenziwe abantu. Uhlaka lusekela yonke inqubo yokusesha inkumbulo, ukuhlaziya nokwakha kabusha, ukukhiqiza izenzo, ukubuyisela okuhlangenwe nakho nokususa inkumbulo enenani eliphansi, futhi lunikeza inqubo yokuthatha izinqumo enezigaba ezinhlanu. Imodeli enamapharamitha angu-7B idlula i-Gemini-2.5-Pro ngo-23.1% ku-ALFWorld nango-39.7% ku-WebShop, kanti izinga layo lokuphumelela elijwayelekile ezimweni ezingaphandle kokusatshalaliswa lifinyelela ku-85.9%. Isebenziseka emisebenzini yasekhaya yamarobhothi ahlakaniphile, ekuthengeni ku-inthanethi ngokuzenzakalelayo, ekusekelweni kwamakhasimende okuhlakaniphile, ekusizeni ukuthuthukiswa kwekhodi nakwezinye izimo.10
PixelRAGInkundla yokuthuthukisaI-PixelRAG iwuhlaka lwe-RAG olugxile ekuboneni, olukhishwe njenge-open source yi-SkyLab/BAIR yase-Berkeley. Esikhundleni sendlela evamile yokukhipha amakhasi ewebhu abe umbhalo omsulwa bese kuwasesha, uhlaka lusebenzisa isiphequluli ukuguqula amakhasi ewebhu nama-PDF abe amathayela ezithombe-skrini, lusebenzisa i-Qwen3-VL ecushwe nge-LoRA...00
HOMIEUkukhiqiza ividiyo nge-AII-HOMIE iwuhlaka oluvulekile lokukhiqiza amavidiyo abantu bedijithali olukhishwe yi-Hong Kong University of Science and Technology, olwakhelwe kunethiwekhi eyinhloko i-Wan2.1-T2V-14B futhi oluhlanganisa imodeli enkulu yezindlela eziningi i-Qwen3-VL. Uhlaka luphatha ngokuhlangene izici ezine: umuntu wedijithali + umkhiqizo + i-Logo + umbhalo, ...00
MindMemOS – Uhlelo lokusebenza lwememori lwe-AI Agent oluvulekele umphakathi, oluvulwe yi-Huawei Noah's Ark LabI-ejenti ye-AIMindMemOS – Uhlelo lokusebenza lwememori lwe-AI Agent oluvulekele umphakathi, oluvulwe yi-Huawei Noah's Ark Lab, lwenzelwe ukuhlinzeka ama-agent adinga ukuphathwa kwememori yesikhathi eside ngongqimba lwememori oluvulelekile nolungasetshenziswa kabusha. Lusebenzisa isakhiwo esinezilinganiso ezintathu: ibhizinisi, isibaluli nesikhathi, luhlukanisa imemori ku-Agent eyodwa luyenze impahla ezimele esebenza kuwo wonke amafreyimwokhi, futhi luthuthukisa imemori ngokuqhubekayo ngezinqubo ezifana ne-Dreaming yokuhlela ungaxhunyiwe ku-inthanethi, i-Feedback yokulungisa amaphutha kanye ne-Skill Evolution yokuziphendukela ngokuzenzakalelayo. Uhlelo luhlinzeka ngezindlela ezimbili zokubhala imemori (MindVanilla, MindSchema) kanye nokusesha kwe-Compact Search okunemizila eminingi, futhi lusekela ukufakwa ku-Docker endaweni, i-API esebenza efwini, i-Python SDK, i-CLI nezinye izindlela zokuxhuma. Ngokunemba kokubuyisa okuhlelekile okungaphezu kuka-94% kanye nokuthuthukisa ukunemba kwezimpendulo zemibuzo ngo-10% ngemva kokucindezelwa kwememori, lusiza abathuthukisi ukuthi babelane ngolwazi phakathi kwezingxoxo futhi bathuthukise ukusebenza kwemisebenzi ezimweni ezifana nabasizi abenziwe ngezifiso, ukubambisana kwama-Agent amaningi kanye ne-automation eyinkimbinkimbi yemisebenzi yasehhovisi.00
AnyParser APIUkucubungula amadokhumenti e-AII-AnyParser API iyimodeli yokuqala enkulu yolimi yokuhlaziya amadokhumenti enokunemba nesivinini esiphezulu. Isebenzisa imodeli yolimi nombono ukuze ikhulise ukunemba kokutholwa kwamadokhumenti kuze kufike izikhathi ezi-2, futhi ikwazi ukukhipha ngokunembile umbhalo, amathebula, amashadi kanye nolwazi lokwakheka kuma-PDF, ku-PowerPoint nasezithombeni. Le API ibeka ubumfihlo bamakhasimende phambili futhi inika amandla ukuhlanganiswa okungenazihibe nezinhlelo zamabhizinisi.00
Get3W – Inkundla yokuhlanganisa amamodeli e-AI, i-API eyodwa yokushintsha amamodeli ngokukhululekaInkundla yokuthuthukisaI-Get3W – Inkundla yokuhlanganisa amamodeli e-AI, i-API eyodwa yokushintsha amamodeli ngokukhululeka iyinkundla yokuhlanganisa amamodeli e-AI eyenzelwe onjiniyela namabhizinisi. Nge-API eyodwa ehlanganisiwe, ixhuma amamodeli angaphezu kuka-700 avela kubahlinzeki abangaphezu kuka-20, okuhlanganisa i-Google, OpenAI, ByteDance, Alibaba, Kling, Midjourney, Runway, MiniMax ne-Black Forest Labs. Amakhono ayo ahlanganisa ukukhiqizwa kwamavidiyo, izithombe, umsindo, i-3D, izithombe ze-panoramic nezingxoxo. Onjiniyela badinga ukuhlanganisa kanye kuphela, bese beshintsha amamodeli ngokukhululeka ngaphansi kwesethi efanayo yezindinganiso ze-API, ngaphandle kokuphinda balungiselele i-API yomhlinzeki ngamunye. Inkundla inikeza i-REST API, ama-SDK e-Python/JavaScript, imisebenzi engavumelani nesikhathi kanye nama-callback e-Webhook. Isebenzisa uhlelo lokukhokha ngokuya ngokusetshenziswa, futhi ingonga kufika cishe ku-50% uma iqhathaniswa nokuxhuma ngqo eziteshini ezisemthethweni.00
Hunyuan3D-Buffalo 1.0 – Uhlaka lwe-3D lwezindlela eziningi olukhishwe yi-Tencent HunyuanUmklamo we-3DI-Hunyuan3D-Buffalo 1.0 – Uhlaka lwe-3D lwezindlela eziningi olukhishwe yi-Tencent Hunyuan iwuhlaka oluhlanganisiwe lwe-3D lwezindlela eziningi olukhishwe yi-Tencent Hunyuan. Ihlanganisa imibuzo nezimpendulo ze-3D, ukubeka indawo, umbhalo uye ku-3D, ukuhlela okuqondiswa yimiyalelo kanye nokukhiqizwa kwezingxenye kube yinqubo eyodwa isebenzisa i-Hunyuan3D-VLM backbone eyabiwe. Uhlaka lusekela ukuqonda isakhiwo samamodeli e-3D ngolimi lwemvelo, ukuthola izingxenye, ukuguqula ijiyomethri yendawo ngokwemiyalelo, kanye nokukhipha izingxenye ezisezingeni lencazelo. Luhlose ukuhlanganisa ukuqonda, ukukhiqiza nokuhlela kwe-3D kube umjikelezo ophelele, lunikeze umkhiqizo wempahla ye-3D ohlanganisekayo wemidlalo, opopayi nokuklanywa kwezimboni. Imisebenzi esemqoka ihlanganisa ukuqonda kwe-3D, umbhalo uye ku-3D, ukuhlela okuqondiswa yimiyalelo kanye nokukhiqizwa kwezingxenye; zonke lezi zinhlobo ezine zabelana ngomehluko ofanayo wencazelo ye-3D kanye nendlela yokucubungula. Lufanele abathuthukisi bemidlalo, abakhiqizi bopopayi, abaklami bezimboni nabadali bokuqukethwe kwe-3D. Ngokusebenzisana ngolimi lwemvelo, lwehlisa izithiyo zobuchwepheshe futhi luthuthukise ukusetshenziswa kabusha kwempahla kanye nokusebenza kahle kokuphindaphinda.00
WorldClaw – uhlaka lokukhiqiza imihlaba ye-3D olwenziwe ithimba le-Tencent HunyuanUmklamo we-3DI-WorldClaw iwuhlaka lokukhiqiza imihlaba evulekile ye-3D oluqhutshwa yi-Agent, olwenziwe ithimba le-Tencent Hunyuan. Lapho umsebenzisi efaka incazelo ngolimi lwemvelo, uhlelo lungahlela ngokuzenzakalelayo indawo, izifunda, izakhiwo, izinto kanye nobudlelwano bendawo, lusebenzisa isu lokukhiqiza elisuka kokujwayelekile liye kokuningiliziwe, bese lwakha isigcawu esiphelele se-3D ku-Blender esingahlolwa ngokukhululekile futhi esisekela ukuhlelwa kwento ngayinye. Uhlaka luqhutshwa ngokubambisana ngamamodeli amaningi afana ne-Claude Opus, GPT-Image-2, SAM3 kanye ne-Hunyuan3D, futhi lunekhono le-visual Agent lokuzihlola nokuzilungisa, olungalungisa ngokuzenzakalelayo izinkinga zokuthintana ezifana nezinto ezilenga emoyeni noma ezingena kwezinye.00Wonke amathuluzi analeli thegi ayaboniswa.