Lists (10)
Stars
Open Source TypeScript AI Agent Framework
Simple logging library with zero dependencies for Deno, Node.js, Bun, browsers, and edge functions
A modern CLI tool for scaffolding end-to-end type-safe TypeScript projects with best practices and customizable configurations
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Suna - Open Source Generalist AI Agent
🎨 Beautiful images of your code — from right inside your terminal.
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?
Anthropic's educational courses
A task runner that works well with poetry or uv.
A library for creating step-by-step workflows in your apps
A visual no-code theme editor for shadcn/ui components
Deploy workloads from Git to large fleets of Kubernetes clusters
An extremely fast Python linter and code formatter, written in Rust.
The batteries-included, No-Code FinOps automation platform.
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
AutoMQ is a stateless Kafka on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.
meeting notetaker and knowledge chat for teams and individuals
⚡️ A blazing-fast tool for generating isolated declarations.
The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.
A Rolldown plugin to bundle dts files.
UI - Project management interface inspired by Linear. Built with Next.js and shadcn/ui, this application allows tracking of issues, projects and teams.
Client-side JavaScript PDF generation for everyone.
🤖 A framework for building GitHub Apps to automate and improve your workflow
i18next: learn once - translate everywhere