Here are today's most interesting finds from across the AI agent ecosystem.
1. An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls
In this tutorial, we build a governed AI-agent workflow using Microsoftβs Agent Governance Toolkit as the reference point. We create a Colab-ready implementation where agents do not directly execute t
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2. Gavriel Cohen found his own code inside OpenClaw, so he walked away
When Gavriel Cohen first saw OpenClaw, he knew he wanted it. At the time, Cohen (soon to be the founder The post Gavriel Cohen found his own code inside OpenClaw, so he walked away appeared first on T
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3. AI Agent Tool-Use Limits: The Cost of Architectural Choices
<p>When I tried to automate supply chain integrations with AI agents in a manufacturing ERP, everything seemed perfect at first. The agent was supposed to analyze incoming orders, check stock le
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4. pydantic-monty investigation
<p><strong>Research:</strong> <a href="https://github.com/simonw/research/tree/main/monty-investigation#readme">pydantic-monty investigation</a></p> <p&g
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5. LangGraph 1.2 Deep Dive β Per-Node Timeouts, Error Handlers, Graceful Shutdown, DeltaChannel & Streaming v3
<p>When you move an AI agent from demo to production, the first thing to break is almost always the <strong>long-running</strong> path. An LLM call hangs at 30 seconds, an external t
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