Diagrid Catalyst 2.0 adds automatic recovery and cryptographic attestation to AI agents

Diagrid has released Catalyst 2.0, bringing durable and verifiable execution to AI agents across multiple frameworks including LangGraph, CrewAI, OpenAI Agents SDK, Microsoft Agent Framework, Google ADK, and AWS Strands. The platform automatically resumes agents from the exact point of failure with no lost progress, and cryptographically signs every step of agent execution to produce tamper-evident records. Catalyst 2.0 runs on-premise, in the cloud, and in fully air-gapped environments while improving Dapr performance by up to 10x.

Most AI agent frameworks today offer only basic checkpointing, leaving developers to build custom failure detection and recovery logic. Catalyst 2.0 solves this with first-class durable workflow support built directly into the execution layer. When an agent crashes mid-task (e.g., at step 15 of 20), it resumes from step 15, avoiding token waste and human intervention. The platform also provides cryptographic attestation—every tool call, decision, and service invocation is signed into a chain-of-custody record, enabling regulated teams to prove who executed what and how a decision was reached.

For teams shipping autonomous agents in production: this eliminates one of the critical gaps between demo and deployment. Agent framework diversity (LangGraph, CrewAI, Strands, OpenAI SDK) means no single vendor lock-in; Catalyst 2.0 works across all of them with minimal code changes (~5 lines). The cryptographic audit trail matters for compliance (finance, healthcare, government). Combined with zero-trust identity and policy-based access control, this raises the bar for enterprise agent reliability.