Join Oracle and AICamp for an immersive, hands on workshop learning how to build reliable agents with LangChain and Oracle AI Database.

This hands-on workshop introduces AI agents and shows how to build agents that go beyond chat to act reliably on real data. Participants will learn how agents plan and execute work, why stateless AI fails in production, and how persistent memory solves the forgetting problem. Using Oracle AI Database, the workshop demonstrates how to implement a durable agent memory core with semantic vector search, governance, and auditability.

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, and lightweight procedural memory)
· Implement ingestion, storage, retrieval, summarization, and “managed forgetting” patterns
· Integrate Tavily for real-time internet lookups, and use Oracle AI Database as the agent’s Memory Core for unified retrieval and persistence
· Apply context engineering, prompt engineering, and memory engineering techniques to reduce drift, improve grounding, and 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 and evaluation harnesses focused on reliability and believability.

Who should attend:
This hands-on workshop is designed for AI developers, AI engineers, AI practitioners, python developers

Prerequisite:
* Required - Fully charged laptop
* Required - Comfortable writing Python (basic to intermediate)
* Required - Familiarity with LangChain fundamentals: prompts, tools, chains, and basic agent patterns
* Required - Basic understanding of what an AI agent is (tool use + multi-step reasoning loop)
* Strongly recommended - Prior exposure to LangChain + Oracle Database integration (or willingness to follow a guided setup)
* Strongly recommended - Comfort running a local notebook / Python environment (uv/pip/conda)
* Strongly recommended - Basic SQL familiarity helps, but isn’t required

What you should have installed on your laptop:
o Python 3.10+ (3.11 recommended)
o A working environment to run notebooks or scripts (Jupyter, VS Code, etc.)
o Access to an Oracle AI Database environment (will be provided in workshop)
o API keys / credentials (as applicable): 1) LLM provider key (your chosen model); 2) Tavily API key (for internet search tool)

Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:15pm: Welcome and Community update
- 6:15pm~7:30pm: Tech talks, hands-on labs and Q&A
- 7:30pm~8:30pm: Open discussion and Closing.

Venue:
Capital Factory, 701 Brazos St, Austin, TX 78701
Room name: Captain America (8th floor)

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 8,000+ AI developers in Austin and 500K+ worldwide.

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers;