Diagrid announced Catalyst 2.0, bringing durable and verifiable execution to AI frameworks including LangGraph, Microsoft Agent Framework, Google Agent Development Kit (ADK), AWS Strands, OpenAI Agents SDK, and CrewAI. The release lets developers add cryptographic trust and automatic failure recovery to AI agents without rewriting application code. Catalyst 2.0 combines durable execution with verifiable execution, allowing agents to automatically resume from the exact point of failure, with every step cryptographically signed and traced. It is a multi-cloud and sovereign solution that can run in fully air-gapped environments while improving the performance of open-source Dapr by up to 10x, enabling organizations to run millions of concurrent agent workflows. Developers add a Diagrid code package into their framework of choice to gain durable workflows immediately. Catalyst 2.0 extends support across 10-plus frameworks. Yaron Schneider, co-founder and CTO of Diagrid, stated, "When an AI agent triggers a tool, calls a service, or hands work to another agent, organizations need proof of what happened and confidence it will finish the job. Catalyst 2.0 brings that durability and verifiability to the frameworks teams are already building on."