Diagrid
Enterprise platform for making AI agents and MCP servers reliable, secure, and production-ready.
| What is it | Enterprise platform for making AI agents and MCP servers reliable, secure, and production-ready. |
|---|---|
| Pricing | Freemium |
| Free tier | Yes |
| Platform | Web Application |
| API | Yes |
| Best for | Running mission-critical AI agents in production with guaranteed reliability, Orchestrating complex, long-running workflows that must survive failures |
| Domain registered | 2021 |
Data updated Aug. 1, 2026
What does Diagrid do?
Diagrid is a platform designed to move AI agents from prototype to production. It adds durable workflows and enterprise-grade security to existing agent frameworks like LangGraph, CrewAI, and OpenAI Agents. The core idea is to make agents reliable: if an agent fails, it resumes from a checkpoint instead of restarting from scratch. This prevents lost progress during crashes, deployments, or restarts. It also handles the long-running and asynchronous nature of agentic tasks.
It works by wrapping your existing agent code—often in just a few lines—to provide automatic recovery, state persistence, and secure communication. The platform is built on open-source distributed systems software like Dapr, giving it a cloud-agnostic, Kubernetes-native foundation. Key technical features include built-in identity and access management (mTLS by default), session management for agent memory, and event-driven pub/sub messaging so agents can collaborate without tight coupling. For observability, it provides full end-to-end tracing, letting you see every step an agent took and why.
The tool is for teams that need to run AI agents in mission-critical environments where failure is not an option. Enterprise AI teams use it to ensure their autonomous agents complete complex processes, like customer service workflows or data analysis pipelines, even amidst infrastructure outages. Platform engineering teams adopt it to provide a governed, secure foundation for multiple development teams building agentic applications, abstracting away the complexities of state management and inter-service communication.
Key features
What makes it stand outWho is Diagrid for?
Who benefits most from this toolPricing
Free tier available — start without a credit cardCatalyst Cloud
- Durable Workflows
- Agent and MCP Service Discovery
- Authentication and Authorization
- Workflow Visualizers
- Application Graph
Catalyst Enterprise
Everything in Catalyst Cloud, plus:
- Dedicated / Private Hosting
- Integrations with top agent frameworks
- Enterprise SLA with 99.99% uptime
- Dedicated Customer Success Team
- Architectural Reviews
Trust & presence
Gallery
Click any image to enlargeAlternatives in LLM
Enterprise-grade training data provider for speech AI and LLMs — voice, audio, and text datasets in 100+ languages.
Curated library of 1,782 verified AI prompts optimized for Gemini and Nano Banana models
A local AI platform for building RAG systems and multi-agent workflows from your documents.
AI observability platform — trace, evaluate, and monitor LLM agents in production with automated issue detection.
Run and manage large language models locally on your machine for private, secure AI automation.
AI tool that converts screenshots into clean, reusable React.js and TailwindCSS components in seconds.
A collaborative platform for teams to design, test, and deploy LLM-powered applications with shared tooling.
Compare real-time pricing for LLM APIs from OpenAI, Anthropic, Google, Meta, and other leading providers
Similar tools
Platform to build, test, deploy, and monitor AI agents with observability and a global inference network.
AI agent monitoring platform — get alerts for failures, user complaints, and abnormal behavior in production
Middleware platform that connects AI agents to marketing APIs, manages context windows, and provides full observability.
Multi-agent operating system where AI agents autonomously create, coordinate, and execute workflows with persistent memory
Enterprise platform that cuts AI agent token costs by up to 99% through neuro-symbolic orchestration and intelligent routing.
Deploy production-ready AI agent workflows securely within your own enterprise infrastructure.
Open-source backend platform for building, scaling, and governing multi-agent AI systems.
Enterprise platform for building and deploying autonomous AI agents that automate complex data workflows and business processes.