

π Memory Matters: Give Your Agents Long-Term Recall with ZeroDB
βπ§ Class 9: Replay Long-Term Memory with /memory/replay
for Multi-Agent Context
βMastering the AI-Native Stack: Build Faster, Smarter with AI-Powered Tools
βIn 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 β and use that memory in real time.
βThis is the key to building personalized, contextual, and emotionally aware agents.
βπ§ What Youβll Learn
ββ
How to store and retrieve session memory
β
How to structure prompts that leverage replayed context
β
How to filter and score memory for relevance
β
How to inject replayed memory into your MCP workflows
β
How to build agents that learn over time
βπ§βπ» Live Coding
βSave agent interactions as memory entries
βUse
/memory/replay
to retrieve top matchesβCombine replay with vector + recency scoring
βInject replayed memory into an LLM call or agent decision
ββοΈ Tools Weβll Use
βπ
/memory/replay
endpointβπ§ ZeroDBβs vector + metadata filter system
βπ§° LangChain / Autogen memory integrations
β𧬠Agent feedback + reinforcement flow
βπ₯ Who Should Attend
βAutonomous agent builders
βAI UX engineers creating personalized apps
βAnyone building contextual copilots or AI companions
βDevelopers implementing multi-session workflows
βπ When?
βEvery Sunday β Final Session
Includes memory indexing labs, MCP memory injection demos, and user tracing walkthroughs.
βπ― Why Join This Class?
βπ§ Build smarter agents that remember
π Increase user satisfaction and retention with contextual recall
π Enable complex workflows that span multiple sessions
π Power your own GPT-style memory backend
ββ Class Take Aways
βAgent memory schema template
βLive MCP memory injection demo
βVector + recency hybrid replay recipe
βStarter kit: Persistent agent memory for ZeroDB
βπ Sign Up Now
βSpaces are limited β claim your ZeroDB vector storage workshop seat! π Reserve Your Spot