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Important: register on the external event website is REQUIRED for admission.
Description:
Join Oracle & AICamp for an immersive, hands on workshop learning how to build reliable agents with LangChain & Oracle AI Database.
AI agents often feel smart in a single turn, then fall apart over longer sessions: they forget user context, repeat work, & lose track of decisions.
In this interactive, hands-on workshop, you'll learn how to design & implement Agent Memory as a first-class system-turning a stateless agent loop into a stateful, memory-augmented agent that improves continuity, reliability, & believability over time.
We'll go end-to-end:
Define what Agent Memory is (and how it differs from just chat history)
Build practical memory abstractions (short-term working memory, semantic memory, episodic memory, & lightweight procedural memory)
Implement ingestion, storage, retrieval, summarization, & managed forgetting patterns
Integrate Tavily for real-time internet lookups, & use Oracle AI Database as the agent's Memory Core for unified retrieval & persistence
Apply context engineering, prompt engineering, & memory engineering techniques to reduce drift, improve grounding, & keep the agent consistent across turns
You'll leave with a working reference implementation, plus a set of reusable patterns for building scalable agent scaffolding & evaluation harnesses focused on reliability & believability.
Who should attend:
This hands-on workshop is designed for AI developers, AI engineers, AI practitioners, python developers
Speakers/Topics:
Check the event website for speakers & topics.
If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco & 500K+ in global.
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