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Super-fast/easy runtime validators and serializers via transformation
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
A beautiful and powerful interactive command line prompt
Run sandboxed code environments on Cloudflare's edge network
Library for building distributed, real-time collaborative web applications
The "kitchensink" implements all the interesting parts of RedwoodSDK. This is primarily used for demoes.
Scalar is an open-source API platform: 🌐 Modern Rest API Client 📖 Beautiful API References …
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative.
An open file format for infinite canvas data.
A vector search SQLite extension that runs anywhere!
DuckDB-powered Postgres for high performance apps & analytics.
Pure TypeScript media toolkit for reading, writing, and converting video and audio files, directly in the browser.
MCP server to run Python code in a sandbox.
The pretty much "official" DSPy framework for Typescript
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
Rails Charts using eCharts from Apache
💎 Ruby on Rails agent for Forest Admin to integrate directly to your existing Ruby on Rails backend application.
Ruby gem for running state-of-the-art language models locally. Access LLMs, embeddings, rerankers, and NER models directly from Ruby using Rust-powered Candle with Metal/CUDA acceleration.
Hydrogen lets you build faster headless storefronts in less time, on Shopify.
A redprint for a CFP app built with Rails and Inertia.js