NemoClaw Knowledge Wiki

OpenClaw: Inside AI Agents, LLMs, and the Agentic Loop

4 min read

OpenClaw: Inside AI Agents, LLMs, and the Agentic Loop

Generated: 2026-04-29 · API: Gemini 2.5 Flash · Modes: Summary

OpenClaw: Inside AI Agents, LLMs, and the Agentic Loop

Clip title: What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop Author / channel: IBM Technology URL: https://www.youtube.com/watch?v=L7FF8Zgab3M

Summary

The video introduces the concept of AI agents, highlighting a critical distinction between traditional chatbots and these advanced systems. Traditional chatbots, powered by Large Language Models (LLMs), excel at responding to queries and generating text, but they lack the ability to actively perform tasks. For example, while a chatbot can explain how to schedule a meeting, it cannot autonomously access a calendar and book it for the user. AI agents aim to bridge this gap between “knowing” and “doing” by connecting LLMs with external tools, enabling them to execute actions and solve multi-step problems autonomously.

The core mechanism behind AI agents is described as the “agentic loop” or ReAct pattern. This iterative process begins when a user provides a task to the agent. The agent then “assembles context,” gathering all relevant information such as conversation history, long-term memory, system instructions, and a list of available tools. This comprehensive context is passed to the LLM, which performs “reasoning” to decide if external tools are needed to fulfill the task. If a tool is required, the agent executes it (e.g., calling an API, running a terminal command, searching the web), and the results are fed back into the assembled context. This “Reason, Act, Observe” loop continues, allowing the agent to break down complex tasks into smaller, executable steps until the task is completed and a final response is generated.

OpenClaw is presented as a practical, open-source example of such an AI agent. Its architecture follows a hub-and-spoke model, with a central “OpenClaw Gateway” acting as a control plane, always running as a WebSocket server. This Gateway handles message routing, session management, and the coordination of various agents and tools. Users interact with the Gateway through different “adapters,” which can be communication platforms like Slack, Teams, Discord, or iMessage, as well as a UI or CLI. The Gateway connects to an LLM (either local or hosted) and “Memory” (a database) for long-term contextual storage. The agent’s capabilities are defined by “Skills,” which are markdown files containing instructions for using specific tools like web browsers, terminals, Docker, CRMs, or GitHub. Notably, OpenClaw selectively injects only the metadata of available skills to the LLM, preventing the context window from being overwhelmed, and allows the LLM to access full skill descriptions on demand.

While AI agents offer significant potential for automation, the video also stresses critical security risks and their mitigations. Running OpenClaw locally, with access to file systems and terminals, means a misconfigured environment could inadvertently create a powerful backdoor on the user’s machine. Another major risk is “prompt injections,” where malicious instructions embedded in untrusted inputs (like emails or webpages) could be executed by the LLM, treating them as legitimate commands. Lastly, the inherent nature of “malicious skills” themselves poses a threat. To mitigate these risks, it’s crucial to run AI agents in isolated containers or sandboxed environments, rigorously review the code of all skills before deployment, and encrypt all credentials to protect sensitive information. Ultimately, responsible deployment practices, governance, and security considerations are paramount when working with AI agents.

Video Description & Links

Description

Learn more about AI Agents here → https://ibm.biz/Bdpmx6

We’ve all been using AI chatbots, but AI agents can now move from knowing to doing. Cedric Clyburn breaks down how AI agents, LLMs, tools, and the agentic loop enable real autonomous workflows. Learn how automation, security, and modern AI systems are shaping the future of tech. 🚀

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdpmxU

aiagents llm openclaw

Tags

IBM, IBM Cloud

URLs

Graph View

Backlinks