Diagrid Catalyst 2.0 adds durable execution to more than 10 agent frameworks
Agent infrastructure startup Diagrid Inc. 0, an update to its managed workflow engine that adds automatic failure recovery and cryptographic verification to artificial intelligence agents built on frameworks such a LangGraph, Microsoft Agent Framework and Google's Agent Development Kit. Developers do not have to rebuild anything to use it.
Key Takeaways
- SiliconANGLE UPDATED 09:00 EDT / JULY 28 2026 AI Diagrid Catalyst 2.
0 adds durable execution to more than 10 agent frameworks by Duncan Riley Agent infrastructure startup Diagrid Inc.
- It provides strong orchestration but only basic checkpointing for recovery, the company said, leaving detection and recovery logic to developers.
0, those same workflows complete after a failure with no custom recovery code.
- 0 runs in the cloud, on-premises and in fully air-gapped environments.
Diagrid claims it improves on open-source Dapr performance by up to 10 times, enough to support millions of concurrent agent workflows.
- German optics manufacturer ZEISS Group is an early user.
Wendelin Niesl, its head of end-to-end core application engineering, said Catalyst gives the company a stable foundation for building a durable platform for both AI and traditional workloads as models and frameworks keep shifting.
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Stats & Key Facts
- #2 million in venture capital funding, most of it in a 2022 Series A led by Norwest Venture Partners.
SiliconANGLE UPDATED 09:00 EDT / JULY 28 2026 AI Diagrid Catalyst 2. 0 adds durable execution to more than 10 agent frameworks by Duncan Riley Agent infrastructure startup Diagrid Inc. 0, an update to its managed workflow engine that adds automatic failure recovery and cryptographic verification to artificial intelligence agents built on frameworks such a LangGraph, Microsoft Agent Framework and Google's Agent Development Kit.
Developers do not have to rebuild anything to use it. Teams add a Diagrid code package to the framework they have already standardized on, and their existing agent workflows gain durable execution without any change to how the agents were written. Most frameworks offer no built-in guarantee that a long-running workflow will recover and finish once something breaks, which leaves humans to step in, burns tokens on repeated work and stalls projects.
0 pairs durable execution, in which an agent resumes from the exact point of failure, with verifiable execution, in which each step is cryptographically signed and traced back to its source. Diagrid offered LangGraph as an example. It provides strong orchestration but only basic checkpointing for recovery, the company said, leaving detection and recovery logic to developers.
For more details please read the original article at SiliconANGLE AI.
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