<p>REST APIs gave humans (and the code they wrote) a standardized way to access software over the network.</p> <p>MCP is trying to do the same thing for agents.</p> <p>That simple
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sf2lby/host_your_own_web_search_mcp_server_or_run_it/"> <img alt="Host your own web search MCP server or
<!-- SC_OFF --><div class="md"><p>I have been using Claude Desktop for a while, I wanted to connect the API in my own project to the assistant. As I researched, the same phrase
<p>The software world solved dependency management decades ago. npm, pip, cargo — these tools transformed how we build by making code reusable and discoverable. But in the AI
<p>Blender's Python API is powerful but has a steep learning curve. What if you could describe a 3D model in plain language and have an AI build it inside Blender
<!-- SC_OFF --><div class="md"><p>Been heads down building graphify since April 5th. The idea: instead of stuffing your entire codebase into context every session, build a
<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC
<!-- SC_OFF --><div class="md"><p>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot
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