DURABLE EXECUTION
6 items
5 posts, 1 tool
How durable execution keeps AI agents alive through crashes, deploys and multi-day approvals, with a LangGraph crash test and type-checked code.
Pydantic AI V2 explained through v2.57.0: capabilities, typed output, Conversation storage, caching, graphs, evals, MCP Apps and Logfire, with checked code.
One agent run crashes mid tool call, waits two days for approval, then retries a charge. How LangGraph, Mastra, Pydantic AI and OpenAI Agents SDK handle it.
Mastra fits TypeScript products whose agents need workflows, memory, tools, MCP, evals, and traces in one backend layer. Where it fits and where it does not.
Vercel Workflows is GA: durable TypeScript with "use workflow" and "use step". What it means for agents and long-running flows, with code adapted from Vercel's own examples.
Durable workflows and background jobs for serverless. Step-level retries, scheduling, and event-driven functions.

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