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Can open-source AI agents finally be production-ready? In this AI Alliance session, the creators of CUGA (Configurable Generalist Agent) introduce a new category of AI infrastructure: the agent harness—an enterprise-ready layer that handles governance, memory, RAG, security, observability, and multi-agent orchestration, allowing developers to focus on building AI applications instead of infrastructure. As the open-source foundation behind IBM Sovereign Core, CUGA is designed to help organizations build, deploy, and govern AI agents at scale while remaining model-agnostic and optimized for open-source LLMs. From live demos to architecture deep dives, this session explores how enterprise AI agents are evolving beyond traditional frameworks like LangGraph and LangChain. In this session, you'll learn: • What an Agent Harness is and why it's emerging as the next layer above traditional agent frameworks • How CUGA simplifies production AI agent development • Policy enforcement, governance, and human-in-the-loop approvals • Memory, Retrieval-Augmented Generation (RAG), sandboxed skills, and observability • Multi-agent orchestration using the A2A (Agent-to-Agent) protocol • How CUGA compares with Claude, OpenAI Agents, Deep Agent, LangGraph, and other popular frameworks • Deployment options including SDK, Docker, MCP, Langflow, and IBM Sovereign Core • Why CUGA is one of the highest-performing open-source agent platforms on WebArena and AppWorld benchmarks Featured Topics ✅ Enterprise AI Agents ✅ Open Source AI Infrastructure ✅ Agent Harness Architecture ✅ Retrieval-Augmented Generation (RAG) ✅ Multi-Agent Systems (A2A) ✅ Agent Governance & Policies ✅ Human-in-the-Loop Workflows ✅ AI Security & Sandboxed Skills ✅ IBM Sovereign Core ✅ Production AI Deployment ⏱️ Chapters 00:00 Introduction — Meet CUGA & AI Alliance 00:41 What Is CUGA? Configurable Generalist Agent & Agent Harness Explained 01:19 Open Source on GitHub 02:02 IBM Sovereign Core — Private AI Infrastructure 03:06 The Agent Builder Problem 05:19 What an Agent Harness Handles 06:32 CUGA's Journey & Performance Benchmarks 08:07 Hardening AI Agents for Enterprise 09:04 Governing Agents with Policies 10:19 Multi-Agent Architecture & Google A2A 11:15 Memory, Skills & Sandboxing 12:17 Deployment Options: SDK, Docker, MCP & Langflow 12:39 CUGA Architecture Deep Dive 14:23 The Five Types of CUGA Policies 17:46 SDK, Policy Enforcement & Storage Layer 22:33 Live Demo: Healthcare Claims Agent 26:38 Live Demo: Adding an Intent Guard 29:11 Live Demo: Human-in-the-Loop Approvals 30:35 Live Demo: Output Formatters (JSON, HTML & XML) 31:34 RAG & Knowledge Integration 37:29 Live Demo: Enterprise RAG 42:02 Supervisor Agents & A2A Protocol 46:07 Live Demo: Multi-Agent Travel Planner 50:43 Skills Support in CUGA 51:17 Q&A — What Is an Agent Harness? 53:34 Agent Harness vs Frameworks (LangGraph & LangChain) 56:14 Plugins, Skills & Secure Sandboxing 1:00:11 Open Source, Community & Getting Started Resources 🌐 CUGA Project https://cuga.dev 💻 GitHub https://github.com/cuga-project 🤝 AI Alliance https://thealliance.ai 👥 Join the AI Alliance https://thealliance.ai/join The AI Alliance is a global community of technology leaders, researchers, developers, and enterprises advancing open, safe, and responsible AI through open collaboration. Sessions like this showcase the open-source technologies shaping the next generation of enterprise AI infrastructure. If you're building AI agents, evaluating enterprise AI platforms, or exploring open-source alternatives to proprietary agent frameworks, this session provides a practical look at where production AI is heading. Subscribe for more technical talks, architecture deep dives, enterprise AI case studies, and conversations with the builders shaping the future of open-source AI. #AIAlliance #CUGA #OpenSourceAI #AIAgents #AgenticAI #EnterpriseAI #IBM #RAG #MultiAgent #LLM #MCP #AgentHarness #LangGraph

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