Build Time: Agent Memory Models
Build Time: Agent Memory Models
Author: OpenAI – Duration: 00:57:44
AI agents don’t just reason: they remember. During this Build Hour, we'll dive deeper into contextual engineering techniques that enable agents to maintain short- and long-term memory, personalize interactions, and operate reliably across long-running workflows. Emre Okcular (Solutions Architect) covers: • Why memory matters: stability, customization, and long-term agent workflows. • Short-term memory models: sessions, context division, compaction, summary. • Models of long-term memory: state objects, structured notes, memory as a tool. avoid context poisoning, context bursting, context noise and context conflicts. • Live Q&A 👉 Contextual Engineering Cookbook: https://cookbook.openai.com/examples/agents_sdk/session_memory
👉 OpenAI Agents Python SDK: https://openai.github.io/openai-agents-python/
👉 Summary of context with Realtime Cookbook: https://cookbook.openai.com/examples/context_summarization_with_realtime_api
👉 Follow the code repository: https://github.com/openai/build-hours
👉 Sign up for upcoming live build times: https://webinar.openai.com/buildhours/
00:00 Context Engineering 10:44 Context Lifecycle Demo 20:13 Context Engineering Techniques 26:49 Reshape + Fit Demo 39:16 Conclusion 42:45 Questions and Answers
