​🧠 Class 2: Designing AI Memory — Using memory/replay to Build Conversational Agents

​In this session, you'll master how to build long-term memory for your AI agents using ZeroDB’s powerful /memory/replay API. We'll walk you through how to store structured conversation logs, embed them in real time, and replay them during agent inference — just like ChatGPT or Claude does behind the scenes.

​This class is perfect for anyone building conversational agents, support bots, multi-turn assistants, or task-chain AI systems.

​🧰 What You’ll Learn

​✅ How ZeroDB’s memory/replay API enables context-aware agents
✅ How to structure and store user/assistant messages with embeddings
✅ How to retrieve relevant memory chunks using vector search
✅ How to connect memory to LangChain or Autogen memory modules
✅ Patterns for session-based, episodic, and agent-shared memory

​🧑‍💻 Live Coding:

• ​Build a simple message store with role, content, and embedding

• ​Use OpenAI or local LLMs to generate vector embeddings

• ​Store memory records into ZeroDB

• ​Replay relevant memories via search for inference

• ​Build a memory-augmented chat loop in Python or JS

​⚙️ Tools We’ll Use

• ​🧠 AINative Studio + ZeroDB

• ​🧩 LangChain or your preferred LLM agent stack

• ​🧠 Embedding model (OpenAI, Ollama, Claude)

• ​🛠 Jupyter Notebook or VS Code

• ​💡 FastAPI (optional) to create memory APIs

​👥 Who Should Attend

• ​Agent Builders (LangChain, Autogen, RAG-based)

• ​Devs building chatbots, tutors, assistants, co-pilots

• ​AI-powered SaaS builders needing persistent chat memory

• ​No-code/low-code teams using agents

​🗓 When?

​Every Wednesday — 60 Minutes
Live on Zoom + SF + Discord replay

​🎯 Why Join This Class?

​🧠 Learn how to give agents long-term memory
📦 Use one API instead of maintaining your own vector+message store
🚀 Replay context with MCP or direct API access
🛠 Instantly improve retention, personalization, and multi-turn UX

​✅ Class Take Aways

• ​Ready-to-use Python memory storage module

• ​Memory loader script for LangChain / Autogen

• ​Session replay debugger

• ​Discord support channel invite

• ​Sample “agent with memory” project code

​📌 Register Now

​This is your path to ChatGPT-level memory — built on your stack, with one API.