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生成于 2026-09-19 06:22 UTC · 追踪 2,168 仓库 · 8 多源共振
分化明显:coder/coder、hypit 多源共振且有真实开发活动(substance);而登顶的 'jev' 集群全是 hype-ish,警惕刷榜。
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🎯 查清 'jev' 集群为何集体登顶却零开发活动(疑似刷榜),同时把 coder/coder 加入重点追踪名单。

📰 最新快讯

🏆 各领域最强模型

文本 / 对话
Claude Fable 5.1
Anthropic · 53.4
图像生成
GPT Image 2.5 Flare
OpenAI · 1188
图像编辑
GPT Image 2.5 Sunburst
OpenAI · 1176
文生视频
Wan 3.0
Alibaba · 1336
图生视频
Gemini Omni Flash
Google · 1369
语音合成
Sonic 3.6
Cartesia · 1276

🧠 最新发布

2026-09-17
KAT-Coder-Pro V2.5
Kwaipilot
2026-09-17
Gemini Omni Flash Preview
Google
2026-09-17
Venice Uncensored
Venice
2026-09-17
Nano Banana 2 Lite
Google
2026-09-17
Jev 1.13
TypeSafe AI
2026-09-16
Union Alpha
Stealth
2026-09-12
Schematron V2 Turbo
Inference.net
2026-09-12
Schematron V2 Small
Inference.net

⭐ 多源共振

今日两极:coder/coder 与 hypit 被多源确认且 substance(有 PR/issue),是真动量;jev-ultrafast、security-audit-skill 虽 4 源但 hype-ish——光涨星、几乎没有开发活动。

cloudflare/security-audit-skill ×4 🆕 new
githubxsocialboard
+596★/d hype-ish official #8
A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings
🔺 @MaciejLukianski 首发 · 41h 前
browser-use/jev-ultrafast ×4 🆕 new
githubxsocialboard
+497★/d hype-ish official #5
🔺 @betterhn20 首发 · 16h 前
官方 #1 但 hype-ish(几乎零实质开发)+ 'jev' 集群同时暴涨,强烈警惕刷榜。
deeplethe/utopia ×4 🆕 new
githubxsocialboard
+440★/d substance official #2
Local-first, agent-assisted document-to-ontology workbench
robbietilton/Compositor ×4 🆕 new
githubxsocialboard
+380★/d hype-ish official #1
The Photoshop alternative for Mac
🔺 @dotey 首发 · 5h 前
latent-spaces/brag ×4 🆕 new
githubxsocialboard
+318★/d hype-ish official #16
You built it. Now brag. Turn the project you just created into a short, shareable launch video with one command.
coder/coder ×4 🆕 new
githubxsocialmodel
+309★/d substance
🔺 @LFrefman 首发 · 13h 前
多源共振 + substance + 关联模型;面向开发者 agent 的安全环境,真需求,今日第一优先。
sapientinc/PRAXIST ×4 🆕 new
githubxsocialboard
+305★/d substance official #6
Autonomous research system for measurable, computer-executable research.
trycua/cua ×4 🆕 new
githubxsocialboard
+302★/d substance official #3
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
🔺 @trycua 首发 · 6h 前

🔥 动量榜

榜首被 'jev' 集群(jev-ultrafast / fast-jev-compaction)占据,全部 hype-ish 且同时暴涨,疑似协同刷榜;真正值得看的是 alibaba/open-code-review(+1714,substance)。

#Repo7d+1d★7d★质地官方X
1 cloudflare/security-audit-skill 🆕 new
JavaScript · A coding-agent skill for multi-phase security audits with in
🔺 @MaciejLukianski 首发 · 41h 前
 +596 10,897 hype-ish #8 27×
2 browser-use/jev-ultrafast 🆕 new
Python
🔺 @betterhn20 首发 · 16h 前
官方 #1 但 hype-ish(几乎零实质开发)+ 'jev' 集群同时暴涨,强烈警惕刷榜。		 +497 5,780 hype-ish #5 10×
3 deeplethe/utopia 🆕 new
Python · Local-first, agent-assisted document-to-ontology workbench
 +440 1,835 substance #2 10×
4 robbietilton/Compositor 🆕 new
Swift · The Photoshop alternative for Mac
🔺 @dotey 首发 · 5h 前
 +380 580 hype-ish #1 3×
5 arcboxlabs/arcbox 🆕 new
Rust · Run AI agents on real and isolated machines — own kernel, fi
 +319 954 hype-ish #4 –
6 latent-spaces/brag 🆕 new
Python · You built it. Now brag. Turn the project you just created in
 +318 3,931 hype-ish #16 10×
7 tamaratran/fast-jev-compaction 🆕 new
TypeScript · Claude Code plugin that replaces the compaction summary with
 +313 2,482 hype-ish #7 6×
8 sapientinc/PRAXIST 🆕 new
Python · Autonomous research system for measurable, computer-executab
 +305 1,070 substance #6 10×
9 trycua/cua 🆕 new
HTML · Scale computer-use 2.0 with open-source drivers, cross-OS fl
🔺 @trycua 首发 · 6h 前
 +302 1,080 substance #3 10×
10 eternity4719/HowToLiveBetter 🆕 new
HTML · 354 条循证建议，覆盖长寿防病、急救、省钱理财、法律红线、失业与工伤、医保社保、恋爱婚育、出国与技能。每条写明成本、收
🔺 @knowledgefxg 首发 · 60h 前
 +253 5,068 hype-ish #20 10×
11 alibaba/open-code-review 🆕 new
Go
🔺 @shao__meng 首发 · 71h 前
真动量:+1714 且开发活动扎实(substance),阿里出品的代码审查工具。		 +242 14,155 substance – 22×
12 hypit-ai/hypit 🆕 new
TypeScript
🔺 @cccyd_qwq 首发 · 31h 前
多源 + 有真实开发活动;病毒视频克隆,同款产品也在 whatships 发布过——工具+话题双热。		 +216 10,026 substance – 25×
13 deepseek-ai/deepseek-harness 🆕 new
TypeScript
🔺 @the_osps 首发 · 7h 前
 +210 7,730 hype-ish – 10×
14 ayghri/i-have-adhd 🆕 new
Python
🔺 @zhtyyx 首发 · 69h 前
 +197 4,802 hype-ish – 42×
15 stablyai/orca 🆕 new
TypeScript
🔺 @GitTrend0x 首发 · 62h 前
 +185 4,808 substance – 20×
16 affaan-m/ECC 🆕 new
JavaScript
🔺 @BlockInsight214 首发 · 10h 前
 +183 5,121 substance – 14×
17 Tencent/BrowserSkill 🆕 new
Rust
🔺 @JackAIStudio999 首发 · 44h 前
 +173 3,481 substance – 16×
18 MiniMax-AI/minimax-code 🆕 new
TypeScript · An open-source coding agent for your terminal, powered by Mi
 +166 737 hype-ish #9 6×
19 tt-a1i/archify 🆕 new
JavaScript
🔺 @GitTrend0x 首发 · 62h 前
 +165 7,327 substance – 12×
20 bilawalsidhu/gods-eye-view 🆕 new
🔺 @shaw_stone73832 首发 · 57h 前
 +160 8,165 substance – 21×

🏆 能力排行榜 Artificial Analysis

文本 / 对话 Intelligence Index
  1. 1Claude Fable 5.153.4
  2. 2GPT-6 Astra52.8
  3. 3Claude Opus 550.7
  4. 4Claude Fable 549.7
  5. 5Muse Spark 1.348.2
  6. 6GPT-5.6 Sol47.1
  7. 7Qwen3.8 Max45.4
  8. 8GLM-5.344.9
  9. 9Grok 4.644.4
  10. 10Kimi K343.8
  11. 11Step 5 Preview43.6
  12. 12GPT-5.6 Terra42.3
图像生成 Text→Image Arena Elo
  1. 1GPT Image 2.5 Flare1188
  2. 2GPT Image 2.5 Sunburst1182
  3. 3GPT Image 21171
  4. 4Grok Imagine Image 2.01154
  5. 5MAI-Image-2.61147
  6. 6Reve 2.11129
  7. 7Nano Banana 21122
  8. 8Muse Image1111
  9. 9GPT Image 1.51102
  10. 10MAI-Image-2.51102
  11. 11Nano Banana Pro1100
  12. 12MAI-Image-2.6-Flash1099
图像编辑 Image-Editing Arena Elo
  1. 1GPT Image 2.5 Sunburst1176
  2. 2GPT Image 2.5 Flare1154
  3. 3MAI-Image-2.61133
  4. 4MAI-Image-2.6-Flash1122
  5. 5GPT Image 21120
  6. 6Muse Image1116
  7. 7MAI-Image-2.51114
  8. 8MAI-Image-2.5-Pro1107
  9. 9Seedream 5.0 Pro1106
  10. 10Nano Banana 21106
  11. 11Grok Imagine Image 2.01104
  12. 12GPT Image 1.51104
文生视频 Text→Video Arena Elo
  1. 1Wan 3.01336
  2. 2Gemini Omni Flash1330
  3. 3MiniMax H31302
  4. 4HappyHorse-1.01287
  5. 5HappyHorse-1.11272
  6. 6Dreamina Seedance 2.0 720p1259
  7. 7Wan2.7-2606121243
  8. 8grok-imagine-video1235
  9. 9Kling 3.0 Omni 1080p1230
  10. 10PixVerse V5.61230
  11. 11PixVerse V61230
  12. 12Kling 3.0 1080p1230
图生视频 Image→Video Arena Elo
  1. 1Gemini Omni Flash1369
  2. 2Wan 3.01361
  3. 3Bach 1.0 Pro1359
  4. 4MiniMax H31354
  5. 5PixVerse V61337
  6. 6Dreamina Seedance 2.0 720p1336
  7. 7grok-imagine-video-1.51329
  8. 8grok-imagine-video1326
  9. 9HappyHorse-1.11312
  10. 10Kling 2.5 Turbo 1080p1296
  11. 11HappyHorse-1.01293
  12. 12Vidu Q3 Pro1290
语音合成 Text→Speech Arena Elo
  1. 1Sonic 3.61276
  2. 2Qwen-Audio-3.0-TTS-Plus1260
  3. 3Realtime TTS-21247
  4. 4Simba 3.21240
  5. 5Luna TTS1231
  6. 6Realtime TTS-2 Flash1215
  7. 7StepAudio 2.5 TTS1209
  8. 8Breeze TTS 21205
  9. 9Gemini 3.1 Flash TTS1201
  10. 10v3 Conversational1197
  11. 11Sonic 3.51184
  12. 12Lightning V3.1 Pro1179

🧠 模型发布时间线

优先看 source_count≥2(多源确认)与 ★notable 的;单源的谨慎。

2026-09-17
KAT-Coder-Pro V2.5
Kwaipilot
aimlapi
2026-09-17
Gemini Omni Flash Preview
Google
aimlapi
2026-09-17
Venice Uncensored
Venice
aimlapi
2026-09-17
Nano Banana 2 Lite
Google
aimlapi
2026-09-17
Jev 1.13
TypeSafe AI
aimlapi
2026-09-16
Union Alpha
Stealth
aimlapi
2026-09-12
Schematron V2 Turbo
Inference.net
aimlapi
2026-09-12
Schematron V2 Small
Inference.net
aimlapi
2026-09-11
Fugu Ultra v2.0
Sakana AI
llmgateway
2026-09-11
Kimi K2.8 Preview
Moonshot AI
llmstats
2026-09-11
Atria Dawn Preview
Shanghai AI Laboratory
llmstatsllmgateway2×
2026-09-11
Fugu Ultra v2
Sakana AI
aimlapi
2026-09-11
Fugu Max
Sakana AI
aimlapillmgateway2×
2026-09-10 · ★
Ling 3.0 Flash VL
inclusionAI
aimlapiopper2×
2026-09-10 · ★
DeepSeek V4.1 Flash
DeepSeek AI
aimlapillmstatsopperllmgateway4×
2026-09-10
DeepSeek Chat (V4.1 Flash)
DeepSeek AI
aimlapi
2026-09-08
GPT Image 2.5 Sunburst
Open AI
aimlapillmgateway2×
2026-09-08
GPT Image 2.5 Flare
Open AI
aimlapillmgateway2×
2026-09-08
Mercury 2.5
Inception
aimlapi

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📥 AI 博客 · Newsletter

🛠️ 技术源 · GitHub Trending/Lobsters

📢 电报精选

📚 科技周刊 新项目/工具自荐

🤗 HF 采用榜

Modeldownloadslikespipeline
deepseek-ai/DeepSeek-V4.1-Flash429,8653,206image-text-to-text
prism-ml/Ternary-Bonsai-2-27B-gguf405,609976text-generation
Qwen/Qwen3.8-27B7,358,66215,667image-text-to-text
m-a-p/YuE2-3B13,668821text-to-audio
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF1,078,3011,354image-text-to-text
XingChen-AGI/Xing4.0-29B-A4B3,073495text-generation
ukisai/Swift-Qwen3.8-27b6,293448image-text-to-text
Lightricks/LTX-2.51,590,0874,348image-to-video
harshatheg/Qwen-2.5-1B-RLCD0392text-generation
DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF1,197,378912image-text-to-text
openbmb/MiniCPM5-2B357,1661,563text-generation
unsloth/Qwen3.8-27B-GGUF7,628,9074,325

📄 论文

Recursive Self-Improvement / Coding Agents 主题论文近期集中出现,值得留意方向。

Agora: Git as Shared Memory for Collective AutoResearch 🔥
YiFan Zhang, Yunheng Zou, Shaokun Zhang · 2026-09-19
Autonomous research loops such as AutoResearch show that one coding agent can improve a training setup unattended. Run several of them and each session starts from scratch, so more agents tend to mean more duplicated search rather than more
Coding AgentsarXivpwc
RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs 🔥
Maëlic Neau · 2026-09-19
Open-vocabulary detection accepts any class list at inference, and promptable segmentation returns regions without class names: the taxonomy has left the model and become an input. Relation prediction has not. Scene-graph models are still t
Image UnderstandingarXivpwc
World in World: Explore the World with World Models 🔥
Chenxi Song, Yanming Yang, Chi Zhang · 2026-09-19
Autoregressive video world models enable interactive, long-horizon exploration, but flexible control remains challenging. Exploring a source video from new viewpoints requires the generated rollout to remain synchronised with the recorded e
Novel View SynthesisReinforcement LearningVideo generationWorld ModelsarXivpwc
Show-Harness: Just a VLM Agent Can Play Robots 🔥
Yanzhe Chen, Zechen Bai, Zhijun Cao · 2026-09-19
Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harness that enables VLMs to "play" robots t
AgentsRoboticsarXivpwc
OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining 🔥
Yuran Wang, Siqiao Huang, Mingleyang Li · 2026-09-19
World-Action Models inherit world knowledge from video-generative priors, and channel it into executable control signals through embodied experience. Existing systems, however, are monolithic: the generative backbone, visual representation,
Reinforcement LearningRoboticsWorld ModelsarXivpwc
Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization 🔥
Jiaming Zhou, Qihang Zhang, Gangwei Xu · 2026-09-19
Zero-shot cross-task generalization, where a policy must execute manipulation tasks never seen during training, remains a central challenge in robot learning. In large language models, a novel task can be performed simply by specifying it i
RoboticsWorld ModelsarXivpwc
Code World Model: Coding Agent as World Brain 🔥
YiWen Chen, Guosheng Lin, Chi Zhang · 2026-09-19
World models aim to simulate how complex environments evolve under actions and events, yet existing video-based world models primarily learn dynamics from visual observations, which reveal outcomes rather than the underlying knowledge, rule
Coding AgentsVideo generationWorld ModelsarXivpwc
WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report 🔥
Junjie Zhou, Ke Mei, Lei LI · 2026-09-19
Universal multimodal embeddings are becoming a core component of modern AI systems, enabling heterogeneous content to be represented in a shared space for applications such as retrieval, recommendation, classification, and agentic systems.
Document UnderstandingEmbedding modelsImage UnderstandingOmni modelsarXivpwc
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation 🔥
Haocheng Xi, Yiming Xie, Hexu Zhao · 2026-09-19
Video diffusion models repeatedly process long spatiotemporal token sequences during denoising, making attention a major computational bottleneck. Linear attention offers an appealing alternative and has been widely adopted in recent large
Video generationarXivpwcarxiv
In-Context Robot Learning with VLM Agents 🔥
Dongzhou Cheng, Taoran Yi, Ye Fang · 2026-09-19
Enabling robots to adapt to unfamiliar environments as readily as humans remains a moonshot goal of embodied AI. No finite collection of demonstrations can cover every task and situation a robot will encounter, making the ability to learn f
RoboticsarXivpwc

🎯 Alpha 账号

作者leadslead率仓库数
@shanyanggm140.6421
@shaw_stone7383270.76
@xzbx88870.788
@GitTrend0x70.78
@FrontieraTechIT50.717
@DataChaz514
@the_osps50.835
@xfubot50.57
@LoveAIbrain514
@iasg100450.3610

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