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Friday August 14, 2026 16:35 - 17:00 KST
In maritime navigation, dead reckoning means computing your current position using a known starting point, heading, and speed without GPS. Agentic MCP systems face the exact same problem: once a multi-tool workflow begins, mid-flight failures, partial writes, and out-of-order responses leave your agent adrift with no canonical ground truth. This talk introduces a practical framework for designing fault-tolerant MCP state machines inspired by dead reckoning principles. You will learn how to model agentic workflows as explicit state graphs, how to attach idempotency keys to MCP tool calls to safely replay without side effects, how to design checkpointing patterns that survive process crashes, and how compensating transactions replace naive rollback for real-world tools. Live-coded demos run through a concrete multi-server order pipeline that survives server timeouts, stale tool responses, and partial network partitions. Leave with implementation patterns, failure taxonomy, and open-source primitives you can wire into any MCP client today.
Speakers
avatar for Akshat Khanna

Akshat Khanna

Machine Learning Engineer II, Independent
Akshat Khanna is a Machine Learning Engineer II at Angel One, where he builds GenAI-powered bots and leverages agentic AI for high-performance trading platforms. Previously, he worked as MTS II at VMware Tanzu, focusing on Kubernetes solutions for the edge. He is an active open-source... Read More →
Friday August 14, 2026 16:35 - 17:00 KST
Grand Ballroom 1 + 2

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