Persistent multi-agent conversations with the OpenAI Agents SDK and MongoDB

<p>Most LLM demos are amnesiacs. The user says "my name is noear and I like blue" in turn one, asks "what's my name?" in turn two, and the model shrugs - because every HTTP call

<p>Two AI agents need to collaborate. One researches, the other writes. How do they share what they know?</p> <p>This is not a theoretical question. Multi-agent systems are the

<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

<h1> The Agent Loop </h1> <p><em>The entire AI agent stack in 60 lines of Python.</em></p> <p><a class="article-body-image-wrapper"

<p>Starting an AI agent is easy. The hard part is what comes after: iterating on it in production without the whole thing turning into a mess.</p> <p>Requirements that belong in

<p>Salesforce just flipped a switch at TDX 2026 that matters more than most announcements in recent memory: your Salesforce org is now an MCP server. Every Developer Edition org

<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,