Durable AI Meetup Tackles Agent Context

Agent reliability increasingly depends on context engineering, not just smarter models. This meetup highlights the infrastructure layer turning agent demos into dependable production systems.

• –Retrieval quality, freshness, and timing are becoming core agent design concerns
• –Knowledge graphs can add explainability and governance beyond basic vector search
• –Shared context helps teams preserve tribal knowledge across people, agents, and workflows
• –Durable execution keeps long-running agents resilient through failures, retries, and interruptions
• –The event’s strongest signal is that agent infrastructure is converging around context, memory, and reliability