BoxAgnts Introduction (6) — Agent Multi-Turn Conversation and Tool/Skill Invocat

<p>Claude's tool use (function calling) API is what separates toy chatbots from actual agents. I've built production agents with it — here's what reliable tool use looks like when

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<p>BoxAgnts' tool system, from the bottom-level WASM sandbox to the top-level Tool trait, has solved "how tools run safely." But tools ultimately need to be called by AI models —

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

<p>Everyone's talking about AI agents. But most explanations jump straight to frameworks — LangChain, CrewAI, AutoGen — without explaining what an agent actually <em>is</em> under

<p>The previous three articles each dissected one layer of BoxAgnts' three-tier architecture:</p> <ul> <li> <strong>Outer layer</strong>: Out-of-the-box user experience — Vue 3

<p>A practical, end-to-end walkthrough of <a href="https://github.com/nousresearch/hermes-agent" rel="noopener noreferrer">Nous Research's Hermes Agent</a>: the principles it's

<p>In an era where AI tools are everywhere, a harsh reality persists: <strong>most developer tools die at the installation step</strong>. Complex dependencies, tedious