Federated Agent Architecture: Leveraging Client Context & Cloud Inference

Drawing from our real-world experience building rtrvr.ai web agent platform, we present a contrarian architecture that moves agentic execution from the cloud to the client, while retaining inference and orchestration in the cloud. We'll dive deep into: - Architecting Federated Executions: How we leverage client-side resources (unblocked bandwidth, user credentials) for reliable execution while performing context engineering and AI inference server side. - Sub Agent Context Coordination: Strategies for managing agent memory, context, and state across asynchronous, complex workflows that can run for 30+ minutes. - Enabling the "Agentic Web": How this architecture unlocks cross-application workflows handled by a web agent client, ie: a Slackbot filing a Jira ticket via a web agent added with an MCP URL.