Lists (16)
Stars
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Index your Gmail account to a SQLite DB and play with the data.
ragingwind / ai-chatbot-desktop
Forked from vercel/ai-chatbotA full-featured, hackable Next.js AI chatbot built by Vercel and Electron for Desktop
bazza/ui is a React component library with hand-crafted, powerful, modern components.
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent & VSCode Agent (And other Open Sourced) System Prompts, Tools & AI Models.
An open protocol enabling communication and interoperability between opaque agentic applications.
AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.
A zero-config, fast and small (~3kB) virtual list (and grid) component for React, Vue, Solid and Svelte.
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
A custom provider for the Vercel AI SDK that enables integration with models that use Azure's native API instead of the OpenAI API format
🧠 An adaptation of the MCP Sequential Thinking Server to guide tool usage. This server provides recommendations for which MCP tools would be most effective at each stage.
A starter kit for building ai agents on Cloudflare
🎭 Stateful Serverless That Runs Anywhere. The easiest way to build stateful, AI agent, collaborative, or local-first applications. Deploy to Rivet, Cloudflare, Bun, Node.js, and more.
This repository contains the Hugging Face Agents Course.
Generate Zero schemas from Drizzle ORM schemas.
Lightweight Durable TypeScript Workflows
Everything you need to build state-of-the-art foundation models, end-to-end.
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Witness the aha moment of VLM with less than $3.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Test your LLM-powered apps with TypeScript. No API key required.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Get your documents ready for gen AI
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.