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Enterprise AI agents often fail in production due to data security concerns, complex coding, and integration nightmares. Oracle AI Database 26ai’s **Private Agent Factory** changes that — giving developers and DBAs a no-code platform to build, test, and deploy powerful, secure agents that work directly with your private enterprise data.

Whether you need a Knowledge Agent for RAG, a Data Analysis Agent, or custom multi-agent workflows, Agent Factory makes it fast, safe, and production-ready.

Why Enterprises Love Private Agent Factory

• Fully Private & Air-Gapped — Run everything on-premises or in isolated environments
• No-Code Canvas — Drag-and-drop agent builder with visual workflow design
• Native Oracle Integration — Direct access to your database, vector search, and hybrid data
• Secure by Default — Row-level security, data masking, auditing, and SQL Firewall
• Portable Agents — Export using Open Agent Specification to LangGraph, CrewAI, etc.

Key Capabilities

• Pre-built agents for Knowledge (RAG), Data Analysis, Finance, HR, and more
• Connect to documents, databases, SharePoint, Object Storage, and REST APIs
• Choose private LLMs, OCI GenAI, OpenAI, Gemini, or others
• Multi-agent orchestration with human-in-the-loop approval
• REST API + Chat interface for easy application integration

Quick Start: Deploy Your First Agent

# 1. Download from Oracle Cloud Marketplace or Downloads
# 2. Deploy the Agent Factory Container (Docker/Podman)

podman run -d --name agent-factory \
  -p 8080:8080 \
  -v /path/to/data:/app/data \
  oracle/agent-factory:latest

# 3. Access the No-Code Builder
# Open browser → http://your-server:8080

Building an Agent in the Canvas (Typical Flow)

1. Choose a template (e.g., Knowledge Agent)
2. Connect data sources (Oracle Database + Vector Store)
3. Select embedding model and LLM (private or cloud)
4. Define tools and workflows visually
5. Test with sample queries
6. Publish → Get secure REST endpoint

Enterprise-Grade Security Highlights

• In-database row/column/cell level security
• Dynamic data masking for agents
• Full audit trail of agent actions
• SQL Firewall to block injection attacks
• Zero Data Loss Recovery protection

Best Practices for Production Agents

• Start with pre-built templates and customize
• Always use private embeddings and vector indexes
• Implement human approval gates for sensitive actions
• Monitor agent performance and cost via Oracle AI Database tools
• Export agents for version control and cross-team reuse

Conclusion

Oracle Private Agent Factory removes the biggest barriers to enterprise Agentic AI — security, complexity, and integration. You can now build trustworthy agents that combine your private data with powerful LLMs, all while staying in full control.

Perfect for developers who want speed and DBAs who demand governance. Available at no extra cost with Oracle AI Database 26ai — on cloud, on-premises, or hybrid.

Ready to build your first production agent? Check out the hands-on labs and get started today.