Memory Matters: Give Your Agents Long-Term Recall with ZeroDB

​​Mastering the AI-Native Stack: Build Faster, Smarter with AI-Powered Tools

​​In this final session, we unlock multi-turn memory and long-term context replay using the powerful /memory/replay endpoint. Learn how to help agents remember past conversations, sessions, decisions — and use that memory in real time.

​​This is the key to building personalized, contextual, and emotionally aware agents.

​​🧠 What You’ll Learn

​​✅ How to store and retrieve session memory
✅ How to structure prompts that leverage replayed context
✅ How to filter and score memory for relevance
✅ How to inject replayed memory into your MCP workflows
✅ How to build agents that learn over time

​​🧑‍💻 Live Coding

• ​​Save agent interactions as memory entries

• ​​Use /memory/replay to retrieve top matches

• ​​Combine replay with vector + recency scoring

• ​​Inject replayed memory into an LLM call or agent decision

​​⚙️ Tools We’ll Use

• ​​🔄 /memory/replay endpoint

• ​​🧠 ZeroDB’s vector + metadata filter system

• ​​🧰 LangChain / Autogen memory integrations

• ​​🧬 Agent feedback + reinforcement flow

​​👥 Who Should Attend

• ​​Autonomous agent builders

• ​​AI UX engineers creating personalized apps

• ​​Anyone building contextual copilots or AI companions

• ​​Developers implementing multi-session workflows

​​🗓 When?

​​Every Sunday — Final Session
Includes memory indexing labs, MCP memory injection demos, and user tracing walkthroughs.

​​🎯 Why Join This Class?

​​🧠 Build smarter agents that remember
📈 Increase user satisfaction and retention with contextual recall
🔍 Enable complex workflows that span multiple sessions
🔁 Power your own GPT-style memory backend

​​✅ Class Take Aways

• ​​Agent memory schema template

• ​​Live MCP memory injection demo

• ​​Vector + recency hybrid replay recipe

• ​​Starter kit: Persistent agent memory for ZeroDB

​​📌 Sign Up Now

​​Spaces are limited — claim your ZeroDB vector storage workshop seat! 👉 Reserve Your Spot