# Diagrid > Diagrid builds the enterprise platform for making AI agents and MCP servers reliable and secure, powered by durable execution. Built on open-source Dapr, the CNCF project trusted by thousands of organizations. Diagrid's platform makes any agent and MCP server crash-safe with guaranteed recovery and safe replay under failure. It provides durable execution, service discovery, identity management, and end-to-end tracing for production AI agent workloads. ## Products ### Diagrid Catalyst Catalyst is a serverless platform for building reliable AI agents and distributed applications using durable execution. It provides durable workflows, service invocation, pub/sub messaging, state management, and built-in security — without managing infrastructure. **Key capabilities:** - **Durable Execution & Workflows**: Build crash-resilient agents and orchestration pipelines with automatic state recovery, guaranteed completion, and safe replay under failure. A managed alternative to self-hosting Temporal or other durable execution engines. - **Agent & MCP Service Discovery**: Identify, locate, and securely communicate between agents, MCP servers, and microservices. - **Authentication & Authorization**: Built-in identity and access management with mTLS for all service-to-service communication. - **Tracing & Observability**: End-to-end distributed tracing across agents and workflows. - **Workflow Visualizers**: Visual debugging and monitoring of durable workflow execution. - **Multi-Region Deployment**: Run agents across regions with serverless scale-out. **Supported agent frameworks:** LangGraph, CrewAI, PydanticAI, Google ADK, AWS Strands, OpenAI Agents, LangChain Deep Agents, Microsoft Agent Framework. **Framework solutions — take any agent framework to production:** - [LangGraph Production](https://www.diagrid.io/solutions/langgraph-production) - [CrewAI Production](https://www.diagrid.io/solutions/crewai-production) - [PydanticAI Production](https://www.diagrid.io/solutions/pydanticai-production) - [Google ADK Production](https://www.diagrid.io/solutions/google-adk-production) - [AWS Strands Production](https://www.diagrid.io/solutions/aws-strands-production) - [OpenAI Agents Production](https://www.diagrid.io/solutions/openai-agents-production) - [LangChain Deep Agents Production](https://www.diagrid.io/solutions/langchain-deep-agents-production) - [Microsoft Agent Framework Production](https://www.diagrid.io/solutions/microsoft-agent-framework-production) - [All Solutions](https://www.diagrid.io/solutions) **Use cases:** - Agentic AI applications with durable execution - Process orchestration and workflow automation - Human-in-the-loop workflows - Event-driven microservices - Architecture modernization from legacy to cloud-native **Pricing:** Free tier (Catalyst Cloud) for non-critical workloads. Enterprise tier with 99.99% SLA, dedicated hosting, and support. - [Catalyst Overview](https://www.diagrid.io/catalyst) - [Catalyst Documentation](https://docs.diagrid.io/) - [Catalyst Quickstarts](https://docs.diagrid.io/catalyst/quickstarts) - [Pricing](https://www.diagrid.io/pricing) ### Diagrid Conductor Conductor is a managed Dapr control plane for Kubernetes. It automates Dapr operations, enforces security best practices, and provides monitoring across all Dapr Kubernetes clusters. **Key capabilities:** - Automated Dapr installation, upgrades, and patching with rollback - Production best-practices enforcement and misconfiguration prevention - Real-time analysis and alerting on 150+ Dapr metrics - Application dependency visualization - Automated certificate management with zero downtime - Multi-cluster management across any Kubernetes distribution - [Conductor Overview](https://www.diagrid.io/conductor) ### Diagrid Enterprise for Dapr Enterprise-grade Dapr support for production deployments, including security-enhanced Dapr binaries (D3E), 24/7 production support with 1-hour SLA, CVE resolution, architectural reviews, and expert guidance. - [Enterprise for Dapr](https://www.diagrid.io/dapr-enterprise) ## Built on Open Source Diagrid is built on top of these open-source projects: - [Dapr](https://dapr.io/) — Distributed Application Runtime (CNCF Graduated) - [SPIFFE](https://spiffe.io/) — Secure Production Identity Framework - [CloudEvents](https://cloudevents.io/) — Event data specification - [KEDA](https://keda.sh/) — Kubernetes Event-driven Autoscaling - [OpenTelemetry](https://opentelemetry.io/) — Observability framework ## Developers - [Documentation](https://docs.diagrid.io/) - [What is AI Orchestration?](https://www.diagrid.io/ai-orchestration) - [Workflow Composer](https://workflows.diagrid.io/) - [Diagrid Labs (GitHub)](https://github.com/diagrid-labs) ## Resources - [Blog](https://www.diagrid.io/blogs) - [Customer Stories](https://www.diagrid.io/customers) - [AI University (Free Courses)](https://www.diagrid.io/university) - [Learn (Guides)](https://www.diagrid.io/learn) - [Contact](https://www.diagrid.io/contact) ## Learn Free, in-depth guides taking you from AI fundamentals to production-ready, secure AI agents. ### AI & Agent Fundamentals - [AI 101: Generative AI, Agents, and LLMs](https://www.diagrid.io/learn/ai-101-generative-ai-agents-llms) - [Deep Dive into Agents: Beyond Chatbots and Copilots](https://www.diagrid.io/learn/deep-dive-agents) - [From Prototype to Production: What Changes for AI Apps](https://www.diagrid.io/learn/prototype-to-production) - [Agents vs Workflows vs Chains](https://www.diagrid.io/learn/agents-vs-workflows-vs-chains) ### Building AI Agents - [Architecting a Production-Ready AI Agent](https://www.diagrid.io/learn/production-ready-agent) - [Durable Agents: Surviving Crashes, Restarts, and Long-Running Tasks](https://www.diagrid.io/learn/durable-agents) - [Understanding AI Agent Patterns: From Workflows to Autonomous Orchestration](https://www.diagrid.io/learn/understanding-ai-agent-patterns) - [Cost Optimization for LLM-Powered Agents](https://www.diagrid.io/learn/cost-optimization-for-llm-powered-agents) ### Security & Enterprise Readiness - [Securing AI Agents: Implementing Agent Identity](https://www.diagrid.io/learn/securing-ai-agents-implementing-agent-identity) - [Data Governance for AI Agents](https://www.diagrid.io/learn/data-governance-for-ai-agents) ### Agent Framework Integrations - [Integrating Diagrid Catalyst with LangGraph](https://www.diagrid.io/learn/integrating-diagrid-catalyst-langgraph) - [Using AWS Strands with Diagrid Catalyst Durable Execution](https://www.diagrid.io/learn/aws-strands-durable-execution) - [Using CrewAI with Catalyst's Durable Execution](https://www.diagrid.io/learn/crewai-durable-execution) - [Using Google ADK with Catalyst's Durable Execution](https://www.diagrid.io/learn/google-adk-durable-execution) - [Using Microsoft Agent Framework with Catalyst's Durable Execution](https://www.diagrid.io/learn/microsoft-agent-framework-durable-execution) ### Recent Blog Posts - [Announcing the Diagrid Dev Dashboard for Local Dapr Development](https://www.diagrid.io/blog/announcing-diagrid-dev-dashboard) - [Who Can Reach Your MCP Servers? Governing MCP Access Across the Enterprise](https://www.diagrid.io/blog/governing-mcp-access-across-the-enterprise) - [What's New in Diagrid Catalyst: MCP Server Governance, Workflow History Archiving, and a Redesigned Console](https://www.diagrid.io/blog/whats-new-catalyst-mcp-governance-archiving-console) - [How Diagrid Catalyst Helps You Meet EU AI Act Requirements](https://www.diagrid.io/blog/diagrid-catalyst-eu-ai-act) - [Why Security Leaders Need to Be in the Agent Conversation](https://www.diagrid.io/blog/security-leaders-agent-conversation) - [The Economics of Running AI Agents at Scale](https://www.diagrid.io/blog/economics-of-running-ai-agents-at-scale) - [Human-in-the-Loop Workflow Operations in Diagrid Catalyst](https://www.diagrid.io/blog/human-in-the-loop-workflow-operations-catalyst) - [Durable Execution: The Missing Runtime Primitive for Agents](https://www.diagrid.io/blog/durable-execution-runtime-primitive-agents) - [What an Unverifiable Agent Chain Costs You in an Audit](https://www.diagrid.io/blog/verifiable-execution-lineage-agent-workflows) - [What's New in Catalyst, Diagrid's AI Agent Platform: Workflow Failure Discovery, Human-in-the-Loop, and Catalyst in Your Environment](https://www.diagrid.io/blog/whats-new-catalyst-failure-discovery-hitl-self-hosted) - [What's New in Dapr 1.18: Securing and Hardening Workflows and Agents](https://www.diagrid.io/blog/dapr-1-18-release-highlights) - [Why AI Agents Fail in Production](https://www.diagrid.io/blog/why-ai-agents-fail-in-production) - [Webinar Recap: Who Let the Agents Out? Your client_id Is Not An Identity](https://www.diagrid.io/blog/ai-agent-identity-webinar-recap) - [AI Agent Identity: The Missing Layer in Enterprise AI](https://www.diagrid.io/blog/ai-agent-identity-missing-layer-enterprise-ai) - [You Deployed Your Agents. Now What?](https://www.diagrid.io/blog/debugging-agents-production-catalyst) - [How to Version .NET Dapr Workflows in Aspire Without Breaking In-Flight Instances](https://www.diagrid.io/blog/how-to-version-net-workflows) - [What's New in Catalyst, Diagrid's AI Agent Platform: Agent Operations and Workflow Control](https://www.diagrid.io/blog/whats-new-catalyst-agent-operations-workflow-control) - [MCP Gateways Aren't Enough: AI Agents Need Identity, Authorization, and Proof](https://www.diagrid.io/blog/why-mcp-gateways-are-not-enough) - [The Latest State of Dapr Report 2026](https://www.diagrid.io/blog/state-of-dapr-2026) - [Dapr Agents 1.0: Durable, Cloud-Native, Production-Ready](https://www.diagrid.io/blog/dapr-agents-1-0-durable-cloud-native-production-ready)