The latest release (26.7.0) of Oracle AI Database Private Agent Factory helps you deploy faster, govern with confidence, and build enterprise AI agents more efficiently with ready-to-deploy container images, enterprise identity and access management, reusable templates, and expanded AI capabilities.
Enterprise AI is entering its next phase. Organizations are no longer asking whether to adopt AI. They’re looking for faster ways to deploy it, govern it at scale, and empower teams to build AI solutions that deliver real business value.
The latest release of Oracle AI Database Private Agent Factory is designed for exactly that.
It simplifies deployment, strengthens governance, and accelerates AI development so you can spend less time managing infrastructure and more time building intelligent applications that leverage your enterprise data.
Whether you’re creating your first AI agent or expanding AI across your organization, these new capabilities help you move from proof of concept to production with greater speed, security, and confidence.
Deploy Faster with Ready-to-Deploy Container Images
Getting enterprise AI platforms into production should be simple.
With the latest release, you can simply pull a ready-to-deploy container image from Oracle Container Registry and get started immediately. Rather than building and packaging the application locally, the production-ready image enables faster, more consistent deployments across development, test, and production environments. This streamlined deployment model enables you to reduce operational effort, simplify automation, and accelerate time-to-value.
Key benefits include:
- Deploy production-ready software without building container images locally
- Standardize deployments across development, test, and production
- Simplify CI/CD automation
- Reduce operational complexity
- Focus on delivering AI solutions instead of managing infrastructure
This release also expands deployment flexibility with support for Kubernetes-based deployments, Oracle Container Registry, and leading enterprise operating systems including Oracle Linux, Red Hat Enterprise Linux, and Ubuntu, making it easier to deploy AI wherever your business operates.
Govern with Confidence Using Enterprise Identity and Access Management
As AI adoption grows, governance becomes just as important as innovation.
The latest release introduces comprehensive Identity and Access Management (IAM) capabilities that make it easier to securely collaborate while maintaining enterprise-grade control.
You can manage access to agents, workflows, prompts, templates, and other shared resources using role-based permissions and user groups. It enables teams to collaborate confidently, knowing the right people have access to the right resources. Secure API key management further simplifies enterprise integrations while helping protect your AI environment.
With these capabilities, you can:
- Securely collaborate across teams
- Centrally manage users, groups, and permissions
- Control access to AI assets with role-based authorization
- Safely share agents, workflows, prompts, templates, and other resources
- Strengthen governance as AI adoption expands across your organization
Whether AI initiatives are managed centrally or across multiple business units, Identity and Access Management provides the governance foundation needed to scale AI confidently.
Screenshot Placeholder: Identity & Access Management Dashboard
Build Faster with Reusable Templates and Richer AI Capabilities
Successful AI projects shouldn’t have to start from scratch every time.
The latest release introduces Templates, enabling you to quickly create new agents and workflows from proven patterns and reusable building blocks. By capturing successful implementations as reusable templates, your teams can deliver new AI solutions more quickly while maintaining consistency across projects.
Templates help you:
- Standardize successful AI implementations
- Accelerate new agent development
- Reduce repetitive development work
- Promote consistency across teams
- Share organizational best practices
Figure 1: New templates to get started quickly
Create More Personalized AI Experiences with Agent Memory
Enterprise AI becomes significantly more valuable when it remembers relevant context.
Oracle Agent Memory enables your AI agents to retain context from previous interactions, creating more personalized and productive user experiences without requiring users to repeat information. You remain in control of how memory is managed, ensuring contextual intelligence aligns with your governance and compliance requirements.
Whether you’re building customer support assistants, employee productivity tools, or business process automation, Agent Memory helps create AI experiences that become increasingly useful over time.
Figure 1: Oracle Agent Memory enabled by default for new agents
Choose the AI Models That Best Fit Your Business
No two AI strategies are alike.
That’s why the latest release continues to expand model flexibility with support for multiple AI providers and deployment options, including Oracle AI services, OCI Dedicated AI Cluster, Anthropic, Azure OpenAI, OpenRouter, and Oracle AI Services Container.
This gives you the flexibility to:
- Choose AI models that align with your business and governance requirements
- Balance performance, cost, and deployment flexibility
- Support both cloud and private AI deployments
- Adapt as your AI strategy evolves
You can adopt new models without changing how you build and manage AI agents, giving you the freedom to innovate while protecting your existing investments.
Figure 3: More model provider choices including Private AI Services container
Build Intelligent Enterprise Workflows
The latest release also expands what your AI agents can accomplish.
New workflow capabilities make it easier to connect enterprise data, applications, and AI into intelligent business processes. Enhancements include support for richer document and file processing, additional workflow nodes, Jira integration, Agent-to-Agent (A2A) communication, and continued improvements to workflow orchestration.
Together, these capabilities enable you to build richer AI-powered workflows that integrate seamlessly with your enterprise systems while reducing the effort required to automate business processes.
Ready to Scale Enterprise AI?
The latest release of Oracle AI Database Private Agent Factory is designed to help you operationalize enterprise AI faster.
Whether you’re simplifying deployment with ready-to-deploy container images, strengthening governance through enterprise identity and access management, or accelerating development with reusable templates and expanded AI capabilities, this release provides the foundation to build, deploy, and scale trusted AI across your organization.
As enterprise AI adoption continues to grow, having a platform that combines deployment simplicity, enterprise governance, and developer productivity becomes increasingly important. Oracle AI Database Private Agent Factory helps you move beyond experimentation and confidently bring AI into production.
Explore the latest release, try the new capabilities, and see how Oracle AI Database Private Agent Factory can help accelerate your enterprise AI journey.
Resources
- What’s New in the Latest Release
- Download Private Agent Factory
- Install from Oracle Marketplace
- Oracle Agent Memory
- Learn about Private LLM Service
- Getting started with Private AI Services Container
- Try Private Agent Factory in LiveLabs Sandbox
- MCP, Orchestration, and Multi-agent workflows in practice