Diagrid
Diagrid helps developers run reliable AI agents and distributed workflows in production. Its Catalyst platform adds durable execution, secure access controls, verifiable execution, observability, and Dapr-based infrastructure management. Teams can use managed cloud, dedicated, bring-your-own-cloud, or self-hosted deployment options while keeping control over application code and infrastructure across different environments.
What is Diagrid?
Diagrid is a production platform for durable AI agents, workflows, and distributed applications. Built on the open-source Dapr runtime, it helps teams preserve execution state, recover from failures, govern interactions, and verify agent activity. Diagrid Catalyst supports cloud, self-hosted, hybrid, and air-gapped deployment models for production workloads while allowing teams to retain ownership of their application code and infrastructure policies.
Diagrid was created by the teams behind Dapr and KEDA, two graduated CNCF projects. Its current Catalyst platform supports durable workflows, AI agents, MCP servers, and Dapr applications. Catalyst Cloud is available free for evaluation, while Dedicated Cloud starts at $1,199 per month and BYOC starts at $1,599 per month. Diagrid also offers Enterprise Server with custom pricing, plus 99.95% availability for eligible paid deployment models. Its site lists SOC 2 Type II certification and integrations across multiple agent frameworks.
- Platform Role: Cloud-Native Orchestration Platform, Managed Dapr Control Plane & Durable AI Agent Infrastructure
- Developer & Organization: Diagrid, Inc.
- Cross-Platform Access: Web Management Dashboard, CLI tool (`diagrid`), Helm charts, and REST/gRPC APIs
Use Cases:
- Running durable, multi-step AI agent workflows with frameworks like LangGraph, CrewAI, PydanticAI, and Microsoft Agent Framework
- Decoupling microservices using standardized API primitives for pub/sub messaging, state management, and service invocation
- Eliminating Dapr runtime management overhead across multi-tenant Kubernetes clusters
- Enforcing zero-trust mTLS security, SPIFFE identity attestation, and cryptographically signed workflow execution logs
- Migrating stateful workloads across multi-cloud environments (AWS, Azure, GCP, or On-Premises BYOC) without code rewrites
Technology:
- Fully managed open-source Dapr sidecar runtime and Catalyst API control plane
- Cryptographic attestation and SPIFFE-based X.509 SVID identity distribution for zero-trust service communication
- Polyglot SDK support for Python, Go, Node.js, Java, .NET, C++, and Rust
- Support for Managed Cloud, Dedicated Cloud, Bring Your Own Cloud (BYOC), and Air-Gapped On-Premises deployments
Target Users:
- Cloud-Native Platform Engineers looking to standardize enterprise microservice abstractions
- Software engineers and architects building distributed applications, event-driven architectures, and serverless workflows
- AI engineers requiring durable execution state and MCP (Model Context Protocol) server governance for AI agents
- DevSecOps and CISO teams implementing zero-trust, SPIFFE identity, and cryptographic auditability across clusters
Acquisition: Direct sign-up available on diagrid.io or via AWS Marketplace
What are the key features of Diagrid?
Diagrid's key platform features are
- Diagrid Catalyst: Managed serverless API platform providing state management, pub/sub, service invocation, and workflow primitives.
- Durable AI Agent Orchestration: Resilient state execution for multi-agent frameworks with automatic retries, state recovery, and history signing.
- Diagrid Conductor / Advisor: Enterprise management plane for automated Dapr operational health monitoring, upgrade automation, and advisor recommendations.
- Zero-Trust Security & Verifiable Execution: Built-in SPIFFE identities, dynamic mTLS encryption, and tamper-proof cryptographic workflow attestations.
- Multi-Database & Broker Abstraction: Pluggable backend state stores (PostgreSQL, Redis, DynamoDB, MongoDB) and message brokers (Kafka, RabbitMQ, AWS SQS) without infrastructure code coupling.
- Flexible Deployment Topology: Choose between fully managed SaaS Cloud, Dedicated Cloud, BYOC (Bring Your Own Cloud VPC), or Air-Gapped On-Premises deployments.
How much does Diagrid cost?
Diagrid offers a free cloud tier for developers alongside predictable flat monthly licensing based on deployment sizing, concurrency, and environment tier.
Pricing Tiers:
- Cloud Free Tier ($0 / month): Free developer access for testing, basic workflows, and Dapr developer tools with no credit card required.
- Dedicated Cloud ($1,199 / month starting): Single-tenant fully managed cluster with compute, storage, networking, and standard Dapr support included.
- Bring Your Own Cloud—BYOC ($1,599 / month starting): Data plane runs inside your own cloud VPC while control plane is managed by Diagrid; 99.95% availability SLA.
- Enterprise On-Premises (Custom Pricing): Full air-gapped deployment for highly regulated environments, custom namespace isolation, and architecture reviews.
Disclaimer: Pricing varies based on deployment size (small, medium, large) and annual commitment discounts. First 14 days are free on paid tiers. Check diagrid.io/pricing for up-to-date quotes.
Who should use Diagrid?
Diagrid is designed for modern enterprise tech teams, including
- Enterprise Platform Engineers: Teams seeking to eliminate Kubernetes operator overhead and manage Dapr workloads across hundreds of microservices.
- AI Product Developers: Organizations deploying long-running, fault-tolerant AI agents with state persistence and cryptographic auditability.
- Regulated BFSI & Healthcare Security Teams: Enterprises that require strict data sovereignty, BYOC isolation, and air-gapped compliance.
What are the best alternatives to Diagrid?
Some of the primary alternatives to Diagrid include
- Temporal Technologies
- Open-Source Dapr
- AWS Step Functions
- Conductor (Orkes)
- Istio Service Mesh
What are the pros and cons of Diagrid?
What are the pros of Diagrid?
- Built and backed directly by the original creators of the Dapr open-source framework
- Flat, predictable cluster-based pricing instead of expensive, volume-penalizing transaction-based pricing models
- Prevents vendor lock-in by maintaining 100% API compatibility with open-source Dapr
- Robust data sovereignty options allowing private VPC (BYOC) and air-gapped deployments
What are the cons of Diagrid?
- Dedicated enterprise tiers require dedicated infrastructure budgets starting around $1.2k/month
- Requires familiarization with Dapr building block concepts and sidecar runtime architecture
Why should you choose Diagrid?
Managing microservice infrastructure, pub/sub queues, and durable workflow execution in cloud environments often leads to custom boilerplate code and complex operational burdens. Diagrid solves this by offering a fully managed, enterprise-hardened abstraction layer powered by open-source Dapr. Its unique combination of developer-friendly APIs, zero-trust cryptographic identity, and flexible BYOC hosting makes it an industry-leading platform for scaling microservices and AI agent workloads.
How does Diagrid compare to competitors?
Compared to orchestration platforms like Temporal or traditional service meshes like Istio, Diagrid provides a broader set of developer primitives (pub/sub, state management, binding, workflows) paired with predictable flat-rate licensing and zero-trust mTLS out of the box.
| Feature / Platform | Diagrid Catalyst | Temporal Cloud | Self-Managed Dapr OSS |
|---|---|---|---|
| Underlying Framework | Dapr Open-Source Engine | Temporal Engine | Dapr Open-Source Engine |
| Pricing Structure | Flat Cluster License (Predictable) | Pay-Per-Action / Transaction | Free OSS (Self-Managed Infra) |
| Data Plane Options | Managed, BYOC, & Air-Gapped On-Prem | Temporal Hosted Cloud Infrastructure | Self-Hosted Kubernetes / VMs |
| Zero-Trust mTLS & SPIFFE Identity | Built-In (Automatic SVID Rotation) | Requires External Mesh / Setup | Manual Sentry / Mesh Setup |
| AI Framework Integrations | LangGraph, CrewAI, PydanticAI, MS Agent | Limited (OpenAI, PydanticAI) | Community Extensible |
How do we rate Diagrid?
| Parameter | Rating (out of 5) |
|---|---|
| Distributed Systems & API Architecture | 4.9 |
| Durable Execution & AI Agent Orchestration | 4.8 |
| Zero-Trust Security & Compliance (SPIFFE/mTLS) | 4.9 |
| Deployment Flexibility (BYOC & Air-Gapped) | 4.9 |
| Value for Money & Pricing Predictability | 4.7 |
| Overall Score | 4.84 |
What is our review and verdict on Diagrid?
Diagrid is an exceptional infrastructure platform for engineering teams building microservices or durable AI agents. By wrapping the power of open-source Dapr into an enterprise-grade managed runtime with BYOC data isolation and flat predictable pricing, Diagrid sets the benchmark for modern cloud-native orchestration platforms.
Conclusion
Diagrid is designed for teams moving AI agents and distributed workflows from prototypes into production environments. Its focus on durable execution, recovery, governance, verifiable activity, and Dapr-based architecture addresses reliability and operational challenges. With free evaluation, paid managed options, and self-hosted deployments, Diagrid can support different infrastructure, security, data location, and compliance requirements across organizations with different operational models and regulatory constraints.
FAQ
What is Diagrid used for?
Diagrid is useful when your AI agents or workflows need to survive crashes, restarts, deployments, and infrastructure outages without losing progress. Catalyst provides durable execution, state persistence, access policies, observability, and governance. It also supports existing agent frameworks, allowing development teams to add production reliability without completely rebuilding their applications.
What deployment options does Diagrid offer?
Diagrid Catalyst supports several deployment choices depending on your infrastructure needs. Catalyst Cloud is fully managed for evaluation and development. Dedicated Cloud provides single-tenant managed infrastructure. BYOC keeps the data plane inside your cloud, while Enterprise Server supports on-premises, air-gapped, and disconnected environments. Dapr remains the underlying open-source runtime today.
How much does Diagrid cost?
Diagrid pricing depends on the deployment model and workload requirements. Catalyst Cloud has a free tier for development and non-critical workloads. Dedicated Cloud starts at $1,199 per month, while BYOC starts at $1,599 per month. Enterprise Server uses custom pricing. Eligible paid plans can include 99.95% availability and support options.
Which AI frameworks does Diagrid support?
Diagrid works with multiple agent frameworks. Its website highlights LangGraph, CrewAI, Google ADK, Strands, OpenAI Agents, Deep Agents, Microsoft Agent Framework, Spring AI, and Dapr Agents. Catalyst is built on Dapr, so teams can also use Dapr APIs for service invocation, state management, pub/sub, workflows, and additional application building blocks.
How does Diagrid improve AI agent security?
Diagrid helps protect AI workflows by combining durable execution with policy-driven access controls and verifiable execution. Catalyst can enforce deny-by-default access between agents, applications, tools, and MCP servers. It also cryptographically signs workflow steps, creating tamper-evident execution records that can support provenance, auditing, compliance, and operational verification for production teams.
Who can benefit from using Diagrid?
Diagrid can fit teams already using Kubernetes, cloud infrastructure, or Dapr because Catalyst centralizes runtime management while applications remain under the team's control. It supports cloud, dedicated, BYOC, and self-hosted models, giving organizations different choices for operations, data location, compliance, and infrastructure ownership without requiring one fixed deployment architecture alone.
User Reviews
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Alternatives
Alternatives to Diagrid
The best alternatives to Diagrid include Temporal Technologies, self-managed open-source Dapr, AWS Step Functions, and Orkes Conductor. While Diagrid offers a managed Dapr runtime with BYOC hosting and zero-trust security for AI agents and microservices, Temporal focuses on workflow-specific execution.
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