Autonomous research agents are transforming how teams gather, synthesize, and act on information, but building them reliably requires more than wiring up an LLM. Getting agent memory, tool orchestration, and enterprise governance right is the difference between a prototype and a system you can trust in production. For AI engineers, Manus and Oracle together offer a powerful foundation for building agents that are both capable and production-ready.
In this code-along webinar, Casius Sibanda Lee, AI Developer Advocate at Oracle, will show you how to design and build an autonomous research agent using Manus and Oracle's infrastructure. You'll work through an end-to-end agentic workflow, explore strategies for managing agent memory and architecture, and learn how to apply enterprise governance guardrails so your agent operates safely and reliably at scale.
Key Takeaways
- Build an end-to-end autonomous research agent using Manus and Oracle from scratch.
- Learn best practices for designing agent memory and architecture in real-world agentic systems.
- Understand how to govern AI agents in an enterprise setting to ensure safe, reliable operation.
