The drive toward intelligent business automation is accelerating, as organizations seek faster, more reliable solutions to manage data, streamline workflows, and respond to change. But building custom AI-powered agents from scratch can delay reaping the benefits AI agents can offer.

With the new Select AI pre-built AI agents, Oracle takes you from zero to 60 with a rich suite of AI-powered agents implemented using Oracle Select AI Agent, making it simple for organizations to install, use, and customize agentic capabilities, all running securely on Oracle AI Database, including Oracle Autonomous AI Database.

Oracle Select AI Pre-Built Agents Help Address Your AI Agent Challenges

Developing effective AI agents for data operations can be daunting for many organizations because of:

  • Complexity: Integrating cloud APIs, implementing security, handling errors, and providing meaningful responses usually requires deep expertise.
  • Time-to-market delays: Building, testing, and securing workflows can take months, delaying business innovation.
  • Accessibility: Only expert developers often have the skills needed, limiting widespread adoption of automation.

Instead, starting from pre-built sample AI agents with robust, proven workflows enables organizations to accelerate AI adoption and reduce risk, freeing up valuable technical resources for more strategic initiatives or agent customizations.

The Oracle Select AI pre-built agents are a collection of AI-driven workflow helpers, freely available on GitHub and built using the Oracle Select AI Agent framework. These agents can deliver real, working code that streamlines common cloud, data, and automation tasks, ranging from cloud resource provisioning to advanced natural language interaction with your data. You just need to provide your desired AI provider and LLM.

Each agent comes with out-of-the-box functionalities but is also fully extensible—letting you quickly customize behaviors and tools for your own use cases. With a generic, domain-agnostic framework at its core, you can deploy agents as provided, or evolve them to meet your unique business and technical requirements. Further, you can reuse tools in your own agents or through the Autonomous AI Database MCP Server.

Overview of Included Agents

The pre-built AI agents empower organizations to unlock new levels of efficiency, intelligence, and usability in their daily operations. By leveraging advanced AI and Oracle Cloud Infrastructure (OCI) capabilities, each agent enables seamless automation and smarter data-driven decisions—all through accessible, conversational interfaces:

  • NL2SQL Data Retrieval Agent allows you to query databases using natural language by automatically interpreting questions, handling ambiguity, and generating charts or visualizations from your data.
  • Autonomous AI Database Provisioning and Lifecycle Agent lets you manage Autonomous AI Database in Oracle Cloud Infrastructure (OCI) through natural, conversational interactions.
  • Database Inspect Agent is a natural language-driven assistant that helps you explore, understand, and manage Oracle database objects—such as tables, views, triggers, functions, procedures, packages, and schemas—using simple conversational queries in combination with Jira and GitHub to support developers.
  • Insight Agent for Jira connects your database to Atlassian Jira so you can search issues, look up users/assignees, and pull comments, changelogs, worklogs, projects, and boards via natural language.
  • Cloud Repository Connector Agent provides a single, consistent way to connect to GitHub, AWS CodeCommit, and Azure Repos, enabling natural language access to repository content and metadata across platforms.
  • OCI Network Load Balancer Agent helps you manage, configure, and monitor OCI Network Load Balancers—including their listeners, backend sets, and health checks—using natural language commands.
  • OCI Object Storage Agent enables you to manage buckets, objects, lifecycle policies, retention rules, and data replication in OCI Object Storage using natural language commands.
  • OCI Vault Agent enables secure, conversational management of secrets in OCI, supporting operations like creation, inspection, rotation, and scheduled deletion of sensitive credentials.

Let’s look at each of the agents more in detail.

How Agents Empower Intelligent Automation

With the pre-built agents, everyday automation and cloud operations become accessible for everyone, without the need for deep technical skills. You can just ask for what you need, and the agents will help you, efficiently, and conversationally.

NL2SQL Data Retrieval Agent

Unleash the power of natural language queries on your database. This agent makes data analysis accessible to everyone, reducing the need for technical query skills. It provides immediate, easy-to-understand insights and visualizations, helping you make faster, more informed decisions with both internal and external data sources. By automatically discovering value ranges, handling missing context, and seamlessly retrying queries when needed, it delivers reliable, meaningful answers—making your data more accessible to everyone.

You simply ask questions in plain language (e.g., “Show average revenue per customer this quarter”) and the agent can translate them into database queries and returns results. You can even create visualizations like bar charts through natural language (e.g., “Generate a bar chart for the result”). It manages missing context, refines queries as needed for better accuracy, and can also draw on relevant web searches if configured.

Autonomous AI Database Provisioning and Lifecycle Agent

Transform the way you manage Autonomous AI Databases in OCI. This agent simplifies and accelerates management of Autonomous AI Database instances by reducing manual effort and complexity. It enables faster provisioning, easier oversight, and guided workflows without requiring deep technical knowledge—empowering you to efficiently manage cloud databases and related resources within OCI.

You interact with the agent by asking questions or giving commands in plain language—such as listing OCI regions (“List all OCI regions I am subscribed to”), showing database compartments (“Show all compartments in my tenancy.”), and provisioning new databases (“Help me to provision a new Autonomous AI Transaction Processing database”). The agent lets you drill into specific actions such as starting databases, adjusting CPU counts, or updating backup retention. Maintenance, key management, and backup tasks are also streamlined with commands like, “Show maintenance run history for maintenance run ID <maintenance_id>,” or “List all key stores in the Finance compartment.” The agent guides you step by step, dynamically finds resources, and automates operations across your tenancy.

Database Inspect Agent

Empower your teams to effortlessly explore and interact with their database objects using natural language. This agent accelerates onboarding, debugging, and understanding complex database environments, clarifies complex code and dependencies, and streamlines maintenance across your database. It reduces reliance on deep technical expertise by providing AI-powered explanations and clear dependency analysis, making it easier to plan and validate changes. With automated documentation and test generation, it boosts code reliability and quality, minimizes the risk of errors, and supports rapid, safe refactoring—empowering teams to work more confidently and efficiently. In addition, this agent also integrates with Jira for issue tracking and GitHub for source code management – enabling a seamless workflow from issue analysis to code fixes and deployment.

You interact with the agent via plain language prompts to explore your schema (“Show me all available database objects”), retrieve column definitions and dependent objects, or request detailed explanations of stored procedures and their logic. The agent can analyze the impact of database changes (“If I rename this column, where do I need to update the code?”), generate developer-friendly documentation, and create or suggest test scripts for functions or procedures. By making complex analysis, debugging, documenting, and maintenance tasks conversational and accessible, the agent enables users of any skill level to effectively manage and evolve database logic.

Insight Agent for Jira

The Insight Agent for Jira connects your database to Atlassian Jira Cloud to make common Jira workflows available through conversational, auditable Select AI tools. The agent exposes DBMS_CLOUD functionality as tools to securely call Jira Cloud APIs, enabling guided natural-language interactions. As with the other agents, you can customize the agent with additional API functionality.

With this agent, teams can streamline Jira tasks such as issue search and detail retrieval, issue insight generation, assignee lookup, and activity history review (comments, changelog, and worklog. It also supports broader discovery workflows like project lookup, user lookup, and board discovery—all without requiring users to remember Jira API specifics or craft complex JQL by hand.

You interact with the agent using prompts like “Search Jira issues for payment timeout” or “Get details for issue FIN-123.” You can made updates as well, for example, “Update Jira comment <comment_id> in project FIN with: Please prioritize this issue for release.”

Cloud Repository Connector Agent

The Cloud Repository Connector Agent brings source control workflows directly into your database – run repository operations conversationally, reducing context switching while keeping actions structured, tool-driven, and easier to operationalize within database-centric workflows.

It supports GitHub, AWS CodeCommit, and Azure Repos through a single common toolset and runtime configuration model, which is especially valuable for teams working across multiple repository platforms. From a conversational interface, you can initialize repository handles for the target provider, create/update/list/delete repositories, and perform common branch workflows such as creating branches, listing commits, merging changes, and deleting branches.

The agent also streamlines file and delivery tasks end-to-end: upload, download, list, or delete repository files, export database objects (DDL/metadata) into version-controlled files, and install SQL from a repository as part of a repeatable release workflow. For example, you can say: “Initialize GitHub repo handle for repo ‘my-repo’ owner ‘my-org’,” “Create branch feature/checkout-v2 from main,” “Upload docs/readme.md with this content and commit message add docs,” “Export package HR.EMP_PKG to ddl/hr/emp_pkg.sql,” or “Install SQL from repository file install/release_2026_02.sql on branch main.” As with any external repository integration, ensure credentials, access scope, and usage patterns align with your organization’s security and compliance guidelines.

OCI Network Load Balancer Agent

Elevate network management with an AI-driven approach. This agent can simplify cloud networking management by making complex tasks accessible through conversation, reducing the need for specialized expertise. It increases operational transparency and efficiency, provides built-in confirmations for critical actions, and enables faster resource provisioning and updates. With easy monitoring and control, you can confidently support mission-critical workloads and quickly adapt your network settings as business needs evolve.

You interact with the agent using straightforward instructions—such as discovering available compartments, provisioning new load balancers, configuring listeners and backend policies, running health checks, or viewing resource details. For example, you can ask the agent to “Create a public Network Load Balancer with a TCP listener on port 443,” “List all load balancers in a given compartment,” or “Update the back-end policy.” Updates and deletions are confirmed for safety. The agent brings cloud-scale network administration into an intuitive, conversational experience, empowering both technical and non-technical users to manage network infrastructure with ease.

OCI Object Storage Agent

Optimize your object storage workflows with conversational automation. This agent lets you easily manage buckets, objects, lifecycle policies, retention rules, and replication—giving you precise control over your unstructured data. It increases productivity through quick and specific actions, improves data reliability with confirmation prompts, and enables efficient integration with other OCI services. With conversational automation, you gain ease of oversight, reduced manual effort, and reduced risk when handling your unstructured data.

You manage your object storage by interacting with the agent through simple, intuitive language. For example, you can list, create, modify, or delete buckets just by asking, and upload, rename, copy, or move objects with clear instructions. The agent makes it easy to implement lifecycle policies for automatic data management, apply retention rules, manage multipart uploads, and set up data replication across regions. You can also retrieve details about buckets or objects, restore archived files, manage pre-authenticated access, and reinforce actions through confirmation prompts. This conversational approach brings automation, precision, and clarity to your entire object storage workflow.

OCI Vault Agent

Strengthen your security posture while simplifying secrets management. This agent can make secrets management more accessible and compliant for users. It can streamline daily operations, enforce security best practices through least-privilege access and explicit confirmations, and deliver clear, human-readable responses for transparent operations and audits. By reducing manual effort and operational risk, it enables a stronger security posture while saving time.

You interact with the agent simply by describing what you want to accomplish in natural language. You can discover and navigate compartments (e.g., “List all compartments available for Vault operations”), retrieve sensitive information like OCIDs (e.g., “Get the OCID for the compartment named Security.”), and list all stored secrets in a region. Creating new secrets, updating values, rotating versions, and scheduling deletions are as straightforward as making a request, with the agent guiding you and confirming actions for critical changes. The agent also supports inspecting secret versions, recovering deleted secrets, and managing secrets across multiple environments—all through easy, interactive prompts. This conversational interface removes technical barriers and brings end-to-end automation, control, and security to your secrets management workflow.

Security, Compliance, and Best Practices

As with all Oracle solutions, these agents are built with enterprise-grade security in mind. Confirmations, least privilege enforcement, and explicit access controls are integrated into agent workflows to minimize risk and help protect your data assets. Always review and align any customizations with your organizational policies and Oracle’s security recommendations.

Getting Started

Select AI Pre-Built Agents represent the next step in AI-powered enterprise automation—making advanced workflows accessible, adaptable, and secure. Whether you’re looking to accelerate cloud adoption, streamline data access, or enable smarter, conversational operations, these agents offer a practical foundation.

Ready to try these agents? Visit the GitHub repository for complete code, documentation, and setup guides. Clone, deploy, and adapt the agents as needed:

  • Start with the sample workflows to see immediate value.
  • Customize tools, data sources, or responses for your unique use cases.
  • Follow best practices for security and compliance.

Resources

For more information, see: