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​ AI agents don’t just reason — they remember. In this Build Hour, we deep-dive into context engineering techniques that enable agents to maintain short-term and long-term memory, personalize interactions, and operate reliably across long-running workflows.
Emre Okcular (Solutions Architect) covers:
• Why memory matters: stability, personalization, and long-running agent workflows
• Short-term memory patterns: Sessions, context trimming, compaction, summarization
• Long-term memory patterns: state objects, structured notes, memory-as-a-tool
• Architectures: token-aware sessions, state injection strategies, guardrails, and memory triggers
• Live demo: building an end-to-end agent with dynamic short and long term memory
• Best practices: avoiding context poisoning, context burst, context noise and context conflict.
• Live Q&A
👉 Context Engineering Cookbook: https://cookbook.openai.com/examples/agents_sdk/session_memory
👉 OpenAI Agents Python SDK: https://openai.github.io/openai-agents-python/
👉 Context Summarization with Realtime Cookbook: https://cookbook.openai.com/examples/context_summarization_with_realtime_api
👉 Follow along with the code repo: https://github.com/openai/build-hours
👉 Sign up for upcoming live Build Hours: 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 Q&A   Read More OpenAIÂ
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