Looking for something similar to Upsonic? We found 20 alternatives in AI & ML — ranked by trust score so you can pick the best fit.
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports Ch
$ git clone https:\/\/github.com\/casibase\/casibase
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An introduction to the world of AI Agents
$ git clone https:\/\/github.com\/sinanuozdemir\/oreilly-ai-agents
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Windows Remote MCP Server — 40+ tools for desktop automation, process management, file operations via FastMCP
$ pip install winremote-mcp
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Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure
$ pip install mxcp
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AI agent framework for Java — skill-based architecture with MCP support, tool calling, RAG, and Telegram integration. Built on Spring Boot and LangChain4j
$ git clone https:\/\/github.com\/alexk-dev\/golemcore-bot
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Unity MCP acts as a bridge, allowing AI assistants (like Claude, Cursor) to interact directly with your Unity Editor via a local MCP (Model Context Protocol) Client. Give your LLM tools to manage asse
$ git clone https:\/\/github.com\/CoplayDev\/unity-mcp
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Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
$ npx -y archestra
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Just a Better Chatbot. Powered by Agent & MCP & Workflows.
$ npx -y better-chatbot
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AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line.
$ git clone https:\/\/github.com\/IvanMurzak\/Unity-MCP
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A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
$ npx -y tuui
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A middleware to provide an openAI compatible endpoint that can call MCP tools
$ pip install MCP-Bridge
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Shell and coding agent on mcp clients
$ pip install wcgw
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Operating System for your personal AI Agents with Security-first approach. Multi-channel (WhatsApp, Telegram, Discord, Slack, iMessage), multi-provider (Claude, GPT, Gemini, Ollama), fully self-hosted
$ npx -y CoWork-OS
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Polymcp provides a simple and efficient way to interact with MCP servers using custom agents
$ npx -y PolyMCP
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Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with
$ npx -y fullstack-langgraph-nextjs-agent
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Unity plugin for Coplay
$ git clone https:\/\/github.com\/CoplayDev\/coplay-unity-plugin
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A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.
$ npx -y nutrient-dws-mcp-server
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Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
$ npx -y decipher-research-agent
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Master AI prompting for business innovation. O'Reilly Live Learning course by Tim Warner covering ChatGPT, Claude, Copilot, and enterprise prompt engineering with MCP implementation.
$ npx -y prompt-pro
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MCP server for multi-round AI brainstorming debates between multiple models (GPT, DeepSeek, Groq, Ollama, etc.)
$ npx -y brainstorm-mcp
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