Local & Open-Source LLMs Llama.cpp: Running Quantized LLMs on CPU-Only Machines If you want to run a capable language model on a laptop or a cheap cloud box with no GPU,...
Local & Open-Source LLMs vLLM: Fast, Self-Hosted LLM Serving With GPUs If you have outgrown hosted APIs and want to run open models like Llama or Qwen on your own hardware,...
Local & Open-Source LLMs LM Studio: Run and Test Local LLMs With a GUI If you want to run open models on your own machine but the command line feels like friction, LM Studio...
Local & Open-Source LLMs Ollama: Running Local LLMs on Your Laptop in 5 Minutes If you want to experiment with Ollama local LLMs without sending a single token to a cloud provider, this guide...
AI Agents & Frameworks A2A Protocol vs MCP: Which Agent Standard to Adopt If you are building AI agents in production, you have probably hit the question of which open protocol to standardize...
AI Agents & Frameworks MCP Protocol Explained: Connecting LLMs to External Tools If you’ve ever wired the same database connector into three different LLM apps, you already understand the problem the MCP...
AI Agents & Frameworks Google ADK for TypeScript: Code-First Agents With CI/CD If you have been wiring up TypeScript agents with bespoke prompt files, ad-hoc tool schemas, and a YAML deploy script, Google...
AI Agents & Frameworks VoltAgent: TypeScript Agents With Built-In Observability If you’ve built an AI agent in production, you’ve felt the visibility gap. The model returns something unexpected, a tool...
AI Agents & Frameworks Vercel AI SDK: Build Streaming Chat UIs in Next.js 15 If you have ever built a chatbot that waits ten seconds, then dumps a wall of text, you already know...