Diagrid Catalyst 2.0Recover from every failure automatically
Agentic Durable Execution: durable, verifiable workflows with secure agent and MCP communication — trusted by thousands of organizations. Works with any agent framework.
CatalystBuilt for production. Not demos.
Replace fragile checkpoints with durable execution in 3 lines of code
Why the loop has to survive the process — seven stages of execution, and what each one could not do.
# Define your LangGraph agent as usualgraph = StateGraph(State)graph.add_node("process", process_node)graph.add_node("validate", validate_node)graph.add_edge(START, "process")graph.add_edge("validate", END)graph = build_graph()compiled = graph.compile()# Make the agent durable with automatic recoveryrunner = DaprWorkflowGraphRunner( graph=compiled,)runner.start()Enterprise self-hosted available
From prototype → production
Add durable workflows and enterprise-grade security without rewriting your code.
LangChain / LangGraph
CrewAI
Strands
Google ADK
OpenAI AgentsDeep Agents
Microsoft AgentsOn Their Own
- Can't scale out reliably in production
- Partial recovery from failures
- No mechanisms to identify and call between agents
- No built-in identity concept
With Diagrid Catalyst
- Agents scale-out reliably across nodes and clusters
- Full state recovery & durable workflows
- Service discovery & inter-agent communication
- Built-in identity & access management
Enterprise reliability and verifiability across the board
One system for durable, verifiable, and secure agents, connected to your infrastructure
Swappable services and LLMs
A single API to interact with your infrastructure and LLM providers. Built-in governance for platform teams
NATS Jetstream
Solace AMQP
KubeMQ
Azure Event Hubs
MQTT
Apache Pulsar
Kafka
RabbitMQ
GCP Pub/Sub
Redis Streams
RocketMQ
Azure Service Bus
AWS SNS/SQS
Azure Service Bus TopicsMulti-region failover
Catalyst supports routing traffic between regions and clouds, ensuring your agents and workflows remain available even during catastrophic outages
Durable Agent Workflows
AI agents run as fault-tolerant, persistent workflows.
- Automatic retries, checkpoints, and recovery
- Long-running and asynchronous execution
- No lost progress on crashes, deploys, or restarts
"If an agent fails, it resumes. Not restarts. Not guesses."
Verifiable Execution
Prove exactly what every agent did — cryptographically.
- Every step signed into a tamper-evident record
- Cryptographic attestation of who ran what
- Full trace and deterministic replay for audit, security, and compliance
"No black boxes. No "we think this happened.""
Session Management
AI agents need memory—and enterprises need control.
- First-class session lifecycle management
- Explicit state ownership and isolation
- Safe handoff between agents and workflows
"Conversations, tasks, and context—managed, not improvised."
Pub/Sub for Agent Communication
Agents communicate through event-driven messaging, not fragile callbacks.
- Decoupled, scalable agent interactions
- Supports fan-out, fan-in, and async coordination
- Built for multi-agent and multi-service architectures
"Agents collaborate without tight coupling."
Agent Identity & Zero-Trust Security
Every agent and MCP server has a cryptographic identity.
- Mutual TLS (mTLS) by default
- Strong authentication between agents and services
- Secure-by-design, not bolted on later
"No shared secrets. No implicit trust. No shortcuts."
Enterprise-Ready Foundation
Built for the infrastructure realities of large organizations.
- Portable, cloud-agnostic architecture
- Designed for Kubernetes environments
- Built on proven distributed systems patterns
"Deploy anywhere. Scale everywhere. Trust always."
Zero-trust security for agents and MCP servers
- mTLS everywhere
- Identity-based agent communication
- Audit-friendly tracing and logs
- Production controls and policies
Solve critical use cases
Orchestrate and understand complex processes
Guarantee your applications execute workflows to completion, irrespective of crashes, outages or full cluster shutdowns. Visualize and observe every activity from start to finish.
Build autonomous AI agents without sacrificing reliability
Bring resiliency and flexibility to your agentic applications, with the LLMs of your choice.
Connect and secure apps across any platform
Safely connect all your apps and agents across clouds and regions, with no new code. Keep connectivity simple as your application scales.
Accelerate development
Achieve 30% to 50% developer velocity gains, bringing applications to production faster.
Enforce governance, enable collaboration
With enterprise access control and project structures, foster collaboration while reducing risk.
Integrate and swap cloud services and LLMs without rewrites
Abstract away the storage and state concerns to speed up development and maintain portability.
Who this is for
Enterprise AI Teams
AI Teams — framework freedom and failure-proof agents, running mission-critical workflows at scale.
Platform Engineers
Lightweight, runs anywhere, nothing to babysit — while you support AI adoption across the org.
Security & Compliance
Security & Compliance — prove what every agent did, cryptographically, for audit and compliance.
AI-First Teams
AI-First Teams — agent autonomy with durable, verifiable execution instead of operational chaos.
Common patterns made easy
Process orchestration
Easily coordinate complex business processes, connecting services and APIs into reliable, scalable workflows without the heavy lifting of managing distributed systems.
Agentic applications
Build resilient agentic AI applications that can reason, act, and collaborate—delivering innovation without the infrastructure overhead, controlling your LLM costs and enforcing high levels of security.
Human-in-the-loop workflows
No workflow is an island. Blend automation with human decision-making by enabling approvals, escalations, and inputs directly in your workflows.
Event-driven microservices
Applications need communication and choreography. Build agile, resilient systems with event-driven microservices that decouple dependencies and scale effortlessly.
Architecture modernization
Incrementally migrate from legacy systems to modern cloud-native architectures with Catalyst providing service discovery, messaging, observability, resiliency, state management and orchestration.
Catalyst deployment models
Diagrid Hosted
Catalyst Cloud or dedicated cluster
Control Plane
Data Plane Cluster
Call Dapr APIs
Public and private connectivity
Call Dapr APIs
Public and private
connectivity
Your Hosting Environment
& Infrastructure
Your Applications
Containers
Virtual Machines
Physical Machines
Serverless
How Catalyst compares
Durable workflows
- Build it yourself
- No
- Workflow-only tools
- Yes
- Diagrid Catalyst
- Yes
Verifiable agent-level tracing
- Build it yourself
- No
- Workflow-only tools
- limited
- Diagrid Catalyst
- End-to-end
Session management
- Build it yourself
- custom
- Workflow-only tools
- No
- Diagrid Catalyst
- Yes
Pub/Sub coordination
- Build it yourself
- custom
- Workflow-only tools
- limited
- Diagrid Catalyst
- Yes
Agent identity + mTLS
- Build it yourself
- No
- Workflow-only tools
- No
- Diagrid Catalyst
- Yes
Cryptographic attestation
- Build it yourself
- No
- Workflow-only tools
- No
- Diagrid Catalyst
- Yes
Production readiness
- Build it yourself
- low
- Workflow-only tools
- medium
- Diagrid Catalyst
- Enterprise-grade
| Capability | Build it yourself | Workflow-only tools |  |
|---|---|---|---|
| Durable workflows | No | Yes | Yes |
| Verifiable agent-level tracing | No | limited | End-to-end |
| Session management | custom | No | Yes |
| Pub/Sub coordination | custom | limited | Yes |
| Agent identity + mTLS | No | No | Yes |
| Cryptographic attestation | No | No | Yes |
| Production readiness | low | medium | Enterprise-grade |
