Diagrid gives failed AI agents a way to resume
The New Stack Frederic Lardinois
Diagrid released Catalyst 2.0, a durable execution layer that allows AI agents built with popular frameworks like LangGraph and OpenAI's SDK to resume from their last completed step after failure rather than starting over. The tool records model and tool call inputs and outputs across 10+ frameworks and creates a tamper-evident signed history of all agent actions using cryptographic hashing and SPIFFE identity signatures. This addresses production reliability for agents and provides compliance documentation required by regulations like the EU AI Act for high-risk deployments in financial services and healthcare.
Why it matters
AI agents can impress in a demo and still fumble in production. Diagrid’s Catalyst 2.0 aims to make them more The post Diagrid gives failed AI agents a way to resume appeared first on The New Stack.