30 open-source projects similar to gotoolkits/mcp-difyworkflow-server, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
An MCP server that installs other MCP servers for you
MCP Server for using any LLM as a Tool
Query OpenAI models directly from Claude using MCP protocol.
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
Digital Calculator is a fully function Calculator Clone which is based on this UI Design?node-id=0%3A1). It has keyboard support and a few useful shortcuts for quick and easy access. It also has a dedicated dark mode theme for better accessibility.
Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI, OpenCode, Kilo, Pi, Kimi
Introducing the Markdown Editor app, the perfect tool for anyone who needs to create and edit markdown files with ease. With the ability to open ".md" files directly from the explorer, you can easily access your files and start working on them right away.
📷 Stitch your photos together vertically or horizontally easily!
AI agents in Go — Temporal for durable, crash-resilient execution or run in-process with zero setup. OpenAI, Anthropic, Gemini, tools, MCP, A2A, RAG, conversations, AG-UI, streaming, sub-agents & human-in-the-loop.
A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.
Agentset MCP Server - Build RAG with Agentic superpowers
Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.
FinRL is a financial reinforcement learning framework and quantitative trading library. It provides a specialized system for developing, training, and simulating autonomous agents designed to automate financial trading and portfolio management. The project serves as an automated portfolio optimizer and financial market simulator. It enables the creation of decision-making policies to balance asset allocations, maximize potential returns, and minimize financial risk through reinforcement learning. The framework includes capabilities for financial market data engineering, algorithmic trading s
Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖
A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.
ZSH plugin that integrates OpenCode AI with your shell
MCP server that gives Claude ability to use OpenAI's GPTs assistants
Simple MCP to give Claude ability to check current time as well as know when holidays are, what is the time distance between dates etc.
OpenCode is a framework for orchestrating autonomous AI agents within development environments. It provides a multi-tiered architecture where primary assistants manage user interaction while specialized subagents handle specific tasks like planning, research, and code generation. The system includes a comprehensive command-line interface for managing these workflows, configuring agent behavior, and defining custom tools or commands through metadata-rich files. The platform features a modular plugin system and extensive integration support, including standardized protocols for connecting local
OCR in Javascript via Emscripten
Linenoise is a lightweight C library for terminal line editing, command history management, and asynchronous input processing. It functions as a self-contained alternative for capturing user input from the command line without requiring external dependencies. The utility provides a non-blocking input processor that handles keyboard data via a feed mechanism, allowing applications to process user typing and external events simultaneously. It supports the implementation of custom shells and REPLs through features such as callback-based autocompletion, input hinting, and a circular history buffe