--- title: Platforms | The Agentic AI Hub — daily.dev description: The infrastructure you'll actually live in. canonical: https://daily.dev/agentic-ai-hub/platforms/ og:type: article og:url: https://daily.dev/agentic-ai-hub/platforms/ og:title: Platforms | The Agentic AI Hub — daily.dev og:description: The infrastructure you'll actually live in. og:image: https://daily.dev/assets/og/agentic-ai-hub.png?v=40e6ff69 og:site_name: daily.dev og:locale: en_US article:modified_time: 2026-07-22 twitter:card: summary_large_image twitter:site: @dailydotdev twitter:creator: @dailydotdev twitter:title: Platforms | The Agentic AI Hub — daily.dev twitter:description: The infrastructure you'll actually live in. twitter:image: https://daily.dev/assets/og/agentic-ai-hub.png?v=40e6ff69 --- [Skip to main content ](#main-content) [   ](https://daily.dev/) [ Agentic AI Hub ](/agentic-ai-hub/) [   ](https://daily.dev/) / [ Agentic AI Hub ](/agentic-ai-hub/) [Get the app ](https://api.daily.dev/get?ref=docs-topbar) # Platforms Too busy to read? Get an AI summary * Copy page Copy page Copy page as Markdown for LLMs [ View as Markdown View this page as plain text ](https://daily.dev/agentic-ai-hub/platforms.md/) Table of Contents * [Model & code hubs](#model-code-hubs) * [Benchmarks & leaderboards (Papers-with-Code successors)](#benchmarks-leaderboards-papers-with-code-successors) * [Dataset sources](#dataset-sources) The infrastructure you'll actually live in. ## Model & code hubs * **Hugging Face**: [huggingface.co](https://huggingface.co/). The GitHub of ML: 1M+ models, datasets, Spaces (live demos), and the `transformers`/`datasets` libraries. A center of gravity for open-source AI. 🔄 * **GitHub Trending**: [github.com/trending](https://github.com/trending). Filter by day or week to catch breakout AI repos before the newsletters do. 🔄 * **Ollama**: [ollama.com](https://ollama.com/). Run open models locally with one command; an easy on-ramp to local inference. * **LM Studio**: [lmstudio.ai](https://lmstudio.ai/). A desktop app for downloading and running local models with a GUI; the point-and-click peer to Ollama. * **Replicate**: [replicate.com](https://replicate.com/). Run and fine-tune open models via API without managing GPUs. Useful for prototyping. * **Together / Fireworks / Groq**: [together.ai](https://www.together.ai/) · [fireworks.ai](https://fireworks.ai/) · [groq.com](https://groq.com/). Fast, cheap hosted inference for open models (Groq for very low latency). 🔄 * **OpenRouter**: [openrouter.ai/models](https://openrouter.ai/models). A single API and marketplace across 400+ hosted models, with live per-token pricing and usage rankings. 🔄 * **llms.txt**: [llmstxt.org](https://llmstxt.org/). Emerging convention, a Markdown file that points models at your site's key docs/content to make them AI-readable. Worth adopting for docs and products. 🔄 ## Benchmarks & leaderboards (Papers-with-Code successors) * **LMArena** (formerly Chatbot Arena; the older lmarena.ai now redirects here): [arena.ai](https://arena.ai/). Human-preference Elo rankings; the closest thing to a "vibes benchmark" that people trust. 🔄 * **Artificial Analysis**: [artificialanalysis.ai](https://artificialanalysis.ai/). Independent index comparing models on intelligence, speed, and price across providers; widely cited for head-to-head numbers. 🔄 * **Hugging Face Open LLM ecosystem & leaderboards**: [huggingface.co/spaces](https://huggingface.co/spaces). After the original Open LLM Leaderboard was retired, evaluation moved to task-specific Spaces and Arena-style boards. Search Spaces for the current one for your task. 🔄 * **Papers With Code**: [paperswithcode.com](https://paperswithcode.com/). Largely archived and frozen now. Still a useful historical map of benchmark SOTA. Its living successors are alphaXiv and HF Papers (below). * **alphaXiv**: [alphaxiv.org](https://www.alphaxiv.org/). Community discussion layer over arXiv; a practical Papers-with-Code successor for tracking active work. 🔄 * **Hugging Face Daily Papers**: [huggingface.co/papers](https://huggingface.co/papers). Curated, upvoted daily paper feed. A fast triage tool. 🔄 ## Dataset sources * **Hugging Face Datasets**: [huggingface.co/datasets](https://huggingface.co/datasets). The default hub for training and eval data. * **Kaggle**: [kaggle.com/datasets](https://www.kaggle.com/datasets). Datasets, competitions, and free notebooks/GPUs; a good learning sandbox. * **Common Crawl**: [commoncrawl.org](https://commoncrawl.org/). The web-scale corpus underlying most pretraining. * **Awesome Public Datasets**: [github.com/awesomedata/awesome-public-datasets](https://github.com/awesomedata/awesome-public-datasets). Curated index across many domains. Share this page Copy link [ Previous Key Papers & Reading List ](/agentic-ai-hub/key-papers-reading-list/) [ Next Events & Conferences ](/agentic-ai-hub/events-conferences/) [ Previous ](#) [ Next ](#) ### Table of Contents * [Model & code hubs](#model-code-hubs) * [Benchmarks & leaderboards (Papers-with-Code successors)](#benchmarks-leaderboards-papers-with-code-successors) * [Dataset sources](#dataset-sources) Link copied!