
Resources


Can your AI Platform do this? Agents on Trial: Proving What Your Workflows Actually Did
Logs can be edited and audit records altered. Learn how verifiable execution — signed, tamper-evident workflow history with SPIFFE-based attestation — lets you prove what your agents and workflows actually did.

Durable SRE Investigations: Putting HolmesGPT into production
Deploy a working SRE investigator on Diagrid Catalyst using HolmesGPT. Live demo, lessons from building it, and an agent repo you can run yourself.

Dapr 1.18 Introduces Verifiable Execution, Bringing Cryptographic Trust to AI Agents and Workflows
Diagrid has announced the release of Dapr 1.18, introducing what it calls Verifiable Execution, a new set of capabilities designed to bring cryptographic trust, provenance, and tamper-evident execution records to distributed applications and AI agents.

Human-in-the-Loop Workflow Operations in Diagrid Catalyst
Find, inspect, and safely intervene on workflows that are running, failed, or waiting on an external event, using workflow operations in Diagrid Catalyst.

Durable Execution: The Missing Runtime Primitive for Agents
When an agent crashes at step forty-seven, it should resume there, not start over. Why durable execution belongs in the runtime, where framework checkpointers fall short, and how Catalyst on Dapr recovers crashed agent workflows automatically.

Why AI Agent Logs Are Not Enough and How to Get Cryptographic Proof
Dapr 1.18 introduces cryptographic attestation and tamper-evident workflow history for AI agents. Yaron Schneider, Dapr maintainer, explains how SPIFFE and verifiable execution work.

What an Unverifiable Agent Chain Costs You in an Audit
Why durable execution isn't enough for agent systems, and how Diagrid Catalyst, built on Dapr, brings verifiable execution lineage to agent workflows.

Dapr 1.18 Celebration: Live Demos of the New Workflow Features
Watch the on-demand recording: the Dapr maintainers walk through what's new in 1.18, with live demos of workflow access policies, tamper detection, concurrency limits, and Dapr Agents.

Why Dapr 1.18's verifiable execution puts cryptographic proof inside the workflow itself
Open source workflow project Dapr's 1.18 release introduces "verifiable execution" – cryptographic signing, history propagation, and attestation built directly into the workflow engine.

What's New in Catalyst, Diagrid's AI Agent Platform: Workflow Failure Discovery, Human-in-the-Loop, and Catalyst in Your Environment
Catalyst now shows where workflows fail and reruns them in bulk from the failed step, finds workflows waiting on human input so you can unblock them, and runs in Catalyst Cloud or inside your own Kubernetes cluster.

What's New in Dapr 1.18: Securing and Hardening Workflows and Agents
Dapr 1.18 brings workflow history propagation, tamper detection, access policies, global concurrency limits, and secure MCP, so production workflows and agents stay trustworthy, controlled, and auditable. All these features are available in Catalyst today.

Make Your Agent Production-Smart with Automatic Web Context
Learn how to give any LLM agent reliable, real-time web knowledge without relying on the model to decide when to search. We'll build a durable expert agent end-to-end using Dapr Agents' new Hooks system, Tavily, and Chainlit.

Diagrid Brings Verifiable Execution for AI Agents and Workflows to Dapr 1.18
Latest release enables organizations to prove the authenticity, integrity, and lineage of workflow and AI agent execution. New capabilities digitally sign execution history, propagate trusted provenance across services, and generate attestations that allow auditors to verify exactly how work was performed.

Exclusive: Bringing attestation, provenance, and tamper-evident execution history to workflows and AI agents
Dapr 1.18 brings attestation, provenance, and tamper-evident history to workflows and AI agents, so teams can verify how execution happened, not just recover from failure.

Dapr Community Call — June 10th
Join the monthly Dapr Community Call for real-world use cases from EVA Systems, Workflow Access Policies deep dive, .NET SDK updates, and live Q&A with the maintainers.

Why AI Agents Fail in Production
Most agent projects stall before production, and the model is rarely the cause. The four failure modes behind it: durability, security, cost, and observability.

Diagrid at LDX3 London 2026
Join Diagrid at LDX3 London — the Festival for Modern Engineering Leadership. Find us at Booth 302 and get 10% off tickets with code DIAGRID.