AI Hippo

Hottest open-source projects in the last 24 hours

codecrafters-io/build-your-own-x · ⭐ 523,994 sindresorhus/awesome · ⭐ 483,616 freeCodeCamp/freeCodeCamp · ⭐ 451,490 public-apis/public-apis · ⭐ 448,541 EbookFoundation/free-programming-books · ⭐ 391,586 openclaw/openclaw · ⭐ 382,477 nilbuild/developer-roadmap · ⭐ 360,187 vinta/awesome-python · ⭐ 307,358 codecrafters-io/build-your-own-x · ⭐ 523,994 sindresorhus/awesome · ⭐ 483,616 freeCodeCamp/freeCodeCamp · ⭐ 451,490 public-apis/public-apis · ⭐ 448,541 EbookFoundation/free-programming-books · ⭐ 391,586 openclaw/openclaw · ⭐ 382,477 nilbuild/developer-roadmap · ⭐ 360,187 vinta/awesome-python · ⭐ 307,358

GitHub open-source trends

Repositories are grouped by type (Agent, multi-agent, inference, LLM libraries, etc.) with in-group comparison of stars, forks, commits, contributors, and open issues/PRs. Data comes from scheduled ingestion snapshots with explicit snapshot dates.

Snapshot

Open source · Live · GitHub + HF

Live source: HF Trending Snapshot source: GitHub grouped snapshot Estimated: Heat / VRAM

Hot models

24h Δ

Default order follows the Hugging Face trending list (7-day likes).

Grouped repository comparison

Each section lists repositories of the same class (e.g., Agent: OpenClaw, NanoBot, PicoClaw). Column meanings are consistent across groups. “Commits (30d)” follows the scraper’s rolling window.

Snapshot:

Data sources & methodology

Public formula (within each group): Score = 100 × [0.30·Stars + 0.15·Forks + 0.30·Commits30d + 0.15·Contributors + 0.05·(1-Issues) + 0.05·(1-PRs)], after per-group min-max normalization.

Agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 openclaw/openclaw 95.3 382,477 80,274 7,576 2,849 6,352 2
2 NousResearch/hermes-agent 45.8 212,602 39,209 3,842 1,928 27,488 5
3 langchain-ai/langchain 32.5 141,471 23,506 266 3,698 415 61
4 affaan-m/ECC 29.9 228,167 34,993 184 289 88 64
5 Significant-Gravitas/AutoGPT 28.4 185,450 46,115 82 829 480 195
6 firecrawl/firecrawl 13.6 148,745 8,506 258 162 396 350
7 Shubhamsaboo/awesome-llm-apps 13.2 117,358 17,440 48 86 5 5
8 google-gemini/gemini-cli 12.2 105,888 14,230 47 688 1,372 205
9 langflow-ai/langflow 11.5 151,551 9,640 97 358 980 755
10 farion1231/cc-switch 8.6 115,600 7,733 194 192 1,850 474

Multi-agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 lobehub/lobehub 80.3 79,706 15,581 874 338 605 399
2 TauricResearch/TradingAgents 52.6 92,171 17,810 47 20 282 141
3 FoundationAgents/MetaGPT 38 69,293 8,836 0 148 138 113
4 zhayujie/CowAgent 36.1 45,906 10,260 170 134 25 4
5 danny-avila/LibreChat 35.4 40,538 8,325 205 376 567 258
6 openai/openai-agents-python 25.1 27,789 4,290 93 299 65 38
7 Yeachan-Heo/oh-my-claudecode 23.1 37,639 3,396 102 133 4 2
8 wshobson/agents 20.2 37,752 4,047 65 76 0 0
9 OpenBMB/ChatDev 13.1 33,699 4,197 2 19 67 23
10 agentscope-ai/agentscope 12.2 27,725 3,166 73 77 254 51

Inference

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 ggml-org/llama.cpp 76.8 119,894 20,415 373 1,801 1,832 1
2 sgl-project/sglang 58.6 30,155 7,068 1,241 1,618 4,111 3
3 BerriAI/litellm 55.9 53,202 9,642 802 1,539 3,861 2
4 earendil-works/pi 43.5 69,420 8,523 400 235 60 8
5 microsoft/onnxruntime 21.2 21,054 4,046 197 947 1,420 619
6 k2-fsa/sherpa-onnx 12.9 13,486 1,542 38 215 598 48
7 GeeeekExplorer/nano-vllm 11.8 14,433 2,308 0 15 78 48
8 abetlen/llama-cpp-python 11 10,471 1,427 21 194 675 79
9 h2oai/h2ogpt 10.6 11,975 1,304 0 78 329 37
10 niedev/RTranslator 10 10,232 939 0 12 26 1

LLM library

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 huggingface/transformers 79.5 162,447 33,858 280 4,020 2,477 1
2 unslothai/unsloth 46.5 67,990 6,121 569 243 1,049 254
3 langfuse/langfuse 36.9 30,880 3,251 581 187 699 398
4 sickn33/antigravity-awesome-skills 31.9 42,786 6,800 319 285 2 2
5 router-for-me/CLIProxyAPI 27.5 39,765 6,547 287 208 251 198
6 fighting41love/funNLP 27.3 81,726 15,251 0 13 52 8
7 asgeirtj/system_prompts_leaks 21.2 55,661 9,181 55 22 37 27
8 labmlai/annotated_deep_learning_paper_implementations 20 67,067 6,729 0 42 32 4
9 ComposioHQ/awesome-claude-skills 13.6 67,378 7,564 0 29 962 839
10 huggingface/pytorch-image-models 13.4 36,969 5,169 12 196 62 18

Training framework

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 pytorch/pytorch 70.4 101,713 28,463 1,389 6,709 18,303 2
2 vllm-project/vllm 52.7 85,905 19,233 1,179 2,992 5,652 3
3 AUTOMATIC1111/stable-diffusion-webui 48.6 164,162 30,529 0 638 2,498 78
4 tensorflow/models 29.7 77,671 44,983 3 958 1,290 207
5 Comfy-Org/ComfyUI 27.5 120,194 14,119 154 326 4,258 379
6 rasbt/LLMs-from-scratch 24.1 98,865 15,174 0 66 4 1
7 keras-team/keras 19.2 64,186 19,752 43 1,529 231 98
8 ultralytics/ultralytics 15.6 59,322 11,351 249 389 198 138
9 ultralytics/yolov5 14.5 57,659 17,487 17 349 31 1
10 CorentinJ/Real-Time-Voice-Cloning 10.5 60,006 9,395 0 20 172 9

Serving

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 open-webui/open-webui 93.1 144,951 20,982 390 851 389 154
2 Mintplex-Labs/anything-llm 37 63,053 6,895 147 213 325 25
3 AlexsJones/llmfit 29.5 29,266 1,786 217 78 52 19
4 1Panel-dev/1Panel 22.6 36,160 3,242 92 123 277 11
5 janhq/jan 22.5 43,481 2,895 91 178 383 73
6 chatchat-space/Langchain-Chatchat 20.4 38,280 6,219 0 173 22 16
7 PDFMathTranslate/PDFMathTranslate 14.5 35,513 3,171 0 57 139 21
8 lm-sys/FastChat 11.8 39,489 4,787 0 246 1,026 142
9 lss233/kirara-ai 10.7 18,846 1,833 0 48 3 0
10 Zackriya-Solutions/meetily 7.3 22,510 2,364 0 12 270 84

Evaluation

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 confident-ai/deepeval 65.6 16,753 1,638 158 319 338 129
2 bitnami/charts 58.1 10,391 10,356 13 2,767 6 2
3 prometheus-community/helm-charts 43.8 6,156 5,376 89 1,787 227 111
4 helmfile/helmfile 24.8 5,154 353 50 388 30 14
5 open-compass/opencompass 20.3 7,184 802 39 175 424 83
6 komodorio/helm-dashboard 16.6 5,731 361 7 56 21 3
7 stackrox/kube-linter 13.4 3,478 267 21 94 86 9
8 omerbsezer/Fast-Kubernetes 11.6 3,540 1,268 0 5 4 3
9 helm/chartmuseum 9.7 3,832 407 1 88 116 25
10 roboll/helmfile 7.5 4,035 552 0 223 527 11

RAG / vector search

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 milvus-io/milvus 87.3 45,171 4,113 252 362 1,005 242
2 langchain4j/langchain4j 52.5 12,574 2,363 198 444 791 204
3 chroma-core/chroma 41.4 28,754 2,375 85 188 732 411
4 qdrant/qdrant 38.1 33,127 2,481 0 173 630 173
5 simdjson/simdjson 31.8 23,947 1,263 5 184 133 11
6 Tencent/APIJSON 27.5 18,392 2,274 7 93 244 3
7 datawhalechina/all-in-rag 26.1 9,401 4,686 0 11 17 4
8 svcvit/Awesome-Dify-Workflow 14.1 10,666 1,073 0 2 23 5
9 gka/chroma.js 13.3 10,572 549 0 43 71 10
10 std-microblock/chromatic 10 8,331 393 0 1 0 0

Snapshot data, not live GitHub streaming. Updates run through scheduled REST/GraphQL ingestion, JSON write, and rebuild.

GitHub-centric signals

Repositories, stars, forks, issues/PRs, release cadence, and topic tags are primary inputs; aggregate by organization, language, or topics for comparison.

Browse projects on GitHub Explore

Metrics

Grouped tables above list stars, forks, commits (30d), contributors, and open issues/PRs. Additional metrics may include star velocity, discussion volume, release cadence, or security signals—by day, week, or month.

Ingestion and refresh

GitHub REST/GraphQL, public datasets, or aggregators such as RSSHub; scheduled Actions to fetch, normalize, and write JSON or read-only stores, then ship static pages or read-only edge APIs.

Types and domains

  • LLM / inference stacks (serving, kernels, quantization-related repositories)
  • Agents, multi-agent frameworks, tool use, orchestration
  • Evaluations, benchmarks, datasets, reproducible leaderboards
  • Training, fine-tuning, alignment, engineering toolchains
  • Local deployment, inference services, edge stacks
  • Data, RAG, retrieval, vector-store ecosystems

Common misreadings

  • Equating stars with model quality—hype may diverge from benchmark strength.
  • Relying on short windows only—spikes may reflect campaigns; longer commit curves carry more signal.
  • Ignoring issues/PRs—healthy projects often show dense maintenance beyond stars.
  • Mixing personal and organization repositories—governance and release cadence may differ materially.
  • Treating GitHub as the entire ecosystem—important work may be closed-source or hosted elsewhere.

Further reading

Weekly AI industry brief

For the week ending July 10, 2026, this Hugging Face hot list tracks 50 entries. By 24-hour growth, standouts include "Qwen3.6-27B-NVFP4", "gemma-4-12B-coder-fable5-composer2.5-v1-GGUF", "Ornith-1.0-35B", "FLUX.1-dev", "gemma-4-12B-agentic-fable5-composer2.5-v2-3.…". Organizations appearing most often near the top include nvidia, empero-ai, tencent, zai-org—a sign that releases, forks, and task pipelines remain fast-moving.

About 49 row(s) are flagged as newly listed in this snapshot, which usually means fresh weights, quant formats, or pipeline tags entering the cohort.

On tokens / hosting: Hacker News highlights “Mythos 5 offered outside the US by Anthropic”; Hacker News highlights “OpenAI and Google sell AI models to blacklisted China groups”; Hacker News highlights “Anthropic found a hidden space where Claude puzzles over concepts”. These cues tie to pricing, regions, and rollout cadence for hosted inference.

The grouped GitHub comparison below spans 8 ecosystem segments so you can contrast model buzz with engineering activity (stars, commits, issues/PRs).

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