Starred repositories
A Python concurrency scheduling library, compatible with asyncio and trio.
An architecture unit test framework for Typescript
Parse JSON response of Amazon Textract
Deploys a AWS EC2 (Bastion Host) preconfigured for Tailscale access.
A better API for making Event Source requests, with all the features of fetch()
Simple async wrapper for the typer. Use async function with typer easily.
High-performance SDK and runtime for multi-agent systems. Build, run and manage secure multi-agent systems in your cloud.
The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data 🔥
Train transformer language models with reinforcement learning.
A PDF viewer that seamlessly integrates with any JavaScript project
This tool/script retrieves tokens for all devices connected to Xiaomi cloud and encryption keys for BLE devices.
A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation,compaitable with react,svelte 5,and vue
Admin Dashboard UI built with Shadcn and Vite.
MCP server for document format conversion using pandoc.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
A TUI to probe the calls between MCP client and server
Build resilient language agents as graphs.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
A high-throughput and memory-efficient inference and serving engine for LLMs
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
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.