Agentic AI
195 articles in this category (Page 5 of 9)
Securing Autonomous LLM Agents: Tsinghua and Ant Group Unveil a Five-Layer Security Framework for OpenClaw
Tsinghua and Ant Group researchers reveal that 26% of community-contributed tools for LLM agents contain security vulnerabilities, requiring a new five-layer framework.
Building Enterprise AI Governance with OpenClaw Gateway and Policy Engines
Implement a robust AI governance layer using OpenClaw to classify risks, enforce human-in-the-loop approvals for moderate-impact tasks, and maintain auditable execution traces for autonomous agents.
Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs
A technical comparison of MCP's standardized tool interfaces and Skills' natural-language behavioral guidance for scaling AI agent capabilities and external system integration.
Building Risk-Aware AI Agents with Internal Critics and Uncertainty Estimation
Develop reliable AI agents using internal critics and uncertainty estimation to quantify risk through entropy and consistency scores, ensuring robust decision-making in production environments.
Andrej Karpathy Open-Sources 'Autoresearch': A 630-Line Tool for Autonomous ML Experiments
Andrej Karpathy released autoresearch, a 630-line Python tool enabling AI agents to autonomously optimize ML models on single GPUs, achieving a 19% validation improvement in real-world tests.
Google AI Releases gws CLI for Unified Workspace API Management
Google AI has launched gws, an open-source CLI tool providing a unified interface for Workspace APIs like Drive and Gmail, featuring native Model Context Protocol (MCP) support for AI agents.
OpenAI Releases Symphony: An Open-Source Framework for Orchestrating Autonomous AI Coding Agents
OpenAI launches Symphony, an open-source Elixir-based framework for orchestrating autonomous AI agents through structured implementation runs and issue tracker polling.