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.

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

A recap of the May 20, 2026 Diagrid webinar on why agents need cryptographically attestable identity, why MCP gateways are not enough, and how SPIFFE, Dapr, and Catalyst bring zero trust to agentic systems.

AI agents lack verifiable identity, enforceable authorization, and tamper-proof audit trails. See how Diagrid Catalyst delivers cryptographic identity, zero-trust policies, and a signed chain of custody for production AI agents.

Once your agents are in production, the hard part begins. See how Catalyst makes it possible to trace failures, surface bottlenecks, and operate multi-agent systems reliably — using a multi-agent orchestration quickstart as a running example.

Learn how to safely evolve .NET Dapr Workflows in Aspire using version patches for small additive changes and named workflow versions for larger structural changes, without breaking in-flight instances.

Catalyst now offers durable execution for 10 agent frameworks, an agent runtime registry, a live application graph, and workflow rerun, versioning, and search controls for production AI agents.

MCP gateways solve routing. They don't solve agent identity, authorization, or proof. Here's what enterprise AI agents actually need for the zero trust security that is required to trust agents with your data.

The 2026 State of Dapr report is now available. See how the Dapr community is using workflows, AI agents, and MCP servers, and what it takes to move from prototype to production.

Available in 9 languages

Dapr Agents 1.0 brings durable execution, persistent memory, and multi-agent orchestration to build production-ready AI agents you can trust.

Diagrid introduces durable workflow support for leading AI agent frameworks, allowing agents to automatically recover from failures and complete long-running workflows in production.

Aspire is an easy way to build distributed applications locally for both .NET and Python. We're excited to introduce the Catalyst Aspire integration, which makes it dramatically easier to develop, test, and run Dapr applications using Aspire.

An overview of four durable agentic patterns, from deterministic workflows to autonomous multi-agent orchestration, and the trade-offs each architecture introduces.

How Microsoft Agent Framework and Strands Agents Repeat the Same Mistakes

Why LangGraph, CrewAI, Google ADK, and Others Fall Short for Production Agent Workflows

AI agents are not magic. They are workflows with probabilistic decision-making and real-world privileges. Workflows need identity, policy, and governance, especially when they run across environments, clouds, and tools.

How to go from a 10-line demo to a reliable and secure ops-ready agent.

We’re excited to announce that Diagrid has officially joined the Agentic AI Foundation (AAIF) as a Gold Member, underscoring our commitment to driving open standards and production-grade infrastructure for reliable AI agents.