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Check out the github notebook here → https://github.com/oracle-devrel/oracle-ai-developer-hub/blob/main/notebooks/agent_with_memory.ipynb Try LangChain and Oracle AI Database 26ai → https://fandf.co/4syWH3o Your AI agent works perfectly… until the next session. Then it forgets everything. Not because your code failed. Not because the LLM is bad. But because AI agents are stateless by design. In this video, we build an AI agent from scratch that actually remembers across sessions, understands context semantically, and retrieves past knowledge without stitching together multiple systems. You’ll learn: • Why most AI agents forget • The hidden problem with memory layers • Why using 3 systems (cache + DB + vector DB) is fragile • The architecture shift that simplifies everything • How to build persistent memory using a single database • How semantic recall actually works in production We’ll implement a working agent using LangChain and Oracle AI Database 26ai, running locally with Docker. Resources: - Oracle Dev Hub: https://github.com/oracle-devrel/oracle-ai-developer-hub - System Design Course: https://academy.bytemonk.io/courses - ByteMonk Blog: https://blog.bytemonk.io/ - LinkedIn: https://www.linkedin.com/in/bytemonk/ - Github: https://github.com/bytemonk-academy Timestamps 00:00 The Problem: AI Agents Forget 00:50 Why LLMs Are Stateless 01:40 The Broken Memory Setup (3 Systems Problem) 03:10 The Key Insight (Memory + Data Together) 04:20 Setup (Oracle 26ai in Docker) 05:40 Demo: Agent Without Memory 06:40 Demo: Agent With Memory 08:00 How It Works (Code + Architecture) 09:20 Final Takeaway + What’s Next https://www.youtube.com/playlist?list=PLJq-63ZRPdBt423WbyAD1YZO0Ljo1pzvY https://www.youtube.com/playlist?list=PLJq-63ZRPdBssWTtcUlbngD_O5HaxXu6k https://www.youtube.com/playlist?list=PLJq-63ZRPdBu38EjXRXzyPat3sYMHbIWU https://www.youtube.com/playlist?list=PLJq-63ZRPdBuo5zjv9bPNLIks4tfd0Pui https://www.youtube.com/playlist?list=PLJq-63ZRPdBsPWE24vdpmgeRFMRQyjvvj https://www.youtube.com/playlist?list=PLJq-63ZRPdBslxJd-ZT12BNBDqGZgFo58 #Oracle #agenticai #bytemonk