🚀 Discover how Model Context Protocol (MCP) is revolutionizing the way AI tools like Cursor AI , Windsurf and Claude communicate and integrate with software. Learn why this "universal translator" for AI agents could be the next big breakthrough in software development. This video breaks down how MCP enables seamless connections between AI tools and services, from Figma integration to Supabase Postgres database management. Perfect for developers, tech enthusiasts, and anyone interested in the future of AI-powered software development. 🔑 Key topics covered: Understanding Model Context Protocol Real-world applications in software development Integration with popular dev tools Figma, Supabase Future implications for AI agents #ModelContextProtocol #AITools #SoftwareDev #BuildWithAI #AIAgents #OpenSource #TechInnovation #AIIntegration #FutureOfSoftware #DevTools Tools mentioned: Cursor AI, Glama, Smithery, Supabase, Figma COURSE & COMMUNITY If you want to learn how to build apps with AI checkout my course and community at SwitchDimension.com http://switchdimension.com currently in Waitlist LINKS Glama http://glama.ai Build With AI Resources http://notes.switchdimension.com https://youtu.be/japoGcdbZGw?si=79cpBLkcVyEzo4EG

https://stackblitz-labs.github.io/bolt.diy/#setup bolt.diy allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models. #bolt #bolt_diy #opensource #openai #claude #groq #deepseek #vercel #v0

DeepClaude combines Claude Sonnet 3.5 with DeepSeek R1 CoT reasoning to outperform OpenAI o1, DeepSeek R1, Claude Sonnet 3.5. 100% free and Opensource. https://twitter.com/i/status/1885167873615945893

https://huggingface.co/openbmb/MiniCPM-o-2_6 MiniCPM-o 2.6 is the latest and most capable model in the MiniCPM-o series. The model is built in an end-to-end fashion based on SigLip-400M, Whisper-medium-300M, ChatTTS-200M, and Qwen2.5-7B with a total of 8B parameters. It exhibits a significant performance improvement over MiniCPM-V 2.6, and introduces new features for real-time speech conversation and multimodal live streaming. Useful Links: - https://minicpm-omni-webdemo.internetofagents.net/ - https://www.reddit.com/r/OpenSourceeAI/comments/1i2mnkb/handson_experience_with_the_minicpmo_26/?rdt=62470 - https://github.com/OpenBMB/MiniCPM-o