TLDRocket
Sign in

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.

Related stories

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Free, no spam, unsubscribe anytime.