> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-xsiam/configure-cortex-xsiam/configure-the-cortex-agentic-assistant-1/agents-hub.md). # Agentic Assistant Hub Manage personal and system agents in the Cortex XSIAM Agentic Assistant Hub. You can interact with agents in the Agentic Assistant chat to automate case and issue investigation and response. Agents create and execute plans, which are sequences of actions (such as playbooks, scripts, and commands) designed to fulfill your requests. Actions and agents are managed in the **Agentic Assistant Hub**. You can access the Agentic Assistant Hub from the main navigation or from within the chat by expanding the Agentic Assistant menu. {% hint style="info" %} To manage agents in the Agentic Assistant Hub, you must have the proper permissions. For more information, see [Agentic Assistant role-based access control](/cortex-xsiam/configure-cortex-xsiam/configure-the-cortex-agentic-assistant-1/agentic-assistant-role-based-access-control.md). {% endhint %} ![](https://2786854933-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FAEIjuYE3RXcIfmuQnBbm%2Fuploads%2FXYh8Ch5faHCgGHYTJwXA%2FAgentic%20assistant%20hub.png?alt=media\&token=43a3ca5c-93aa-40d5-b008-606d9e0f0858) The **Agentic Assistant Hub** includes the following components: * **Actions** Actions wrap diverse content items (such as playbooks, scripts, AI prompts, and commands) to make them accessible and executable by an agent. Cortex XSIAM provides system actions, and you can also create your own actions. Custom actions can be created from scripts, commands, and AI prompts. You can register new actions through the **Agentic Assistant Hub** or from the **Scripts** or **AI Prompts** page. Actions can include functionality such as sending emails, extracting data, enriching information, or opening support cases. Multiple actions can be created from a single script, command, or AI prompt, if needed. An action can be added to multiple agents. * **Agents** An agent is a virtual persona that creates and executes domain-specific plans, at your request, to assist in your day-to-day SOC operations. An agent has roles and permissions that provide guardrails. Each agent is assigned a collection of actions that it can use as part of plans. The agent chooses the most relevant actions to fulfill a user's request. Agents process user requests, create plans, and orchestrate actions based on the user's goals and permissions (RBAC and SBAC). Cortex XSIAM provides system agents, and you can also create custom agents. In the Agentic Assistant chat, you can select any system agent, any agent you created, or any public agent. Agents can only use actions that have been assigned to them, and execution is limited to the user's existing permissions. * From the **Agents** tab of the **Agentic Assistant Hub**, you can hover over any agent card to see the **View** option. Click **View** to see all the actions assigned to the agent and their status. In the **Agentic Assistant Hub**, you can do the following: * Register scripts, commands, and AI prompts as custom actions. After a script, command, or AI prompt is registered as a custom action, it can be assigned to agents and used in plans. For more information, see [Manage actions](/cortex-xsiam/configure-cortex-xsiam/configure-the-cortex-agentic-assistant-1/agents-hub/manage-actions.md). * View system and edit custom actions. * Build agents and assign actions to agents. * Enable and disable system agents and provide specific instructions. System agents have access to system actions that are assigned to the agent. * Start a chat with any agent by clicking the more options icon on the agent card and clicking **Start chat**. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://cortex-docs.paloaltonetworks.com/cortex-xsiam/configure-cortex-xsiam/configure-the-cortex-agentic-assistant-1/agents-hub.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.