Stars
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
TradingAgents: Multi-Agents LLM Financial Trading Framework
CLI/GUI for managing the battery charging status for Apple silicon (M1, M32, M3) Macs
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
An open-source AI agent that brings the power of Gemini directly into your terminal.
Embeddable Postgres with real-time, reactive bindings.
😎 Awesome lists about all kinds of interesting topics
Lean 4 programming language and theorem prover
A lightweight screen recorder based on ScreenCapture Kit for macOS / 基于 ScreenCapture Kit 的轻量化多功能 macOS 录屏工具
A command-line tool for downloading APK files from various sources
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Anthropic's educational courses
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
Anthropic's Interactive Prompt Engineering Tutorial
Typer, build great CLIs. Easy to code. Based on Python type hints.
Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-po…
A python wrapper for Alpha Vantage API for financial data.
🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
An alternative frontend for YouTube, for Android.
A dynamic user interface for adjusting theme, plugin, and snippet CSS variables within Obsidian
An extremely fast Python type checker and language server, written in Rust.
Demonstration and Template Projects
11 Lessons to Get Started Building AI Agents
This is the code repo for the O'Reilly book "Data Science: The Hard Parts"