
Production-ready platform for agentic workflow development.

Dify is a production-ready, open-source platform for building and deploying agentic AI workflows at scale. It combines visual workflow design, RAG pipelines, agent capabilities, and comprehensive model support to accelerate LLM applications from prototype to production.
Dify is ideal for AI engineers, product teams, and enterprises looking to rapidly develop and deploy production-ready AI applications without deep infrastructure expertise. It serves developers who need an integrated platform combining workflow orchestration, model management, and observability in a single interface.

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

An open-source AI agent that brings the power of Gemini directly into your terminal.

The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

🙌 OpenHands: AI-Driven Development

🙃 A delightful community-driven (with 2,500+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

A feature-rich command-line audio/video downloader

An open-source AI agent that brings the power of Gemini directly into your terminal.

:house_with_garden: Open source home automation that puts local control and privacy first.

Hunt down social media accounts by username across social networks

:cherry_blossom: A command-line fuzzy finder

simple terminal UI for git commands

ripgrep recursively searches directories for a regex pattern while respecting your gitignore

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

Collaborative cheatsheets for console commands 📚.