How does Diagrid Catalyst handle failure recovery?

Catalyst 2.0 replaces fragile checkpoints with lasting execution and full state recovery, automatically recovering AI agents from failures and maintaining continuity even during substantial outages.

Which frameworks and environments does Diagrid Catalyst support?

It works seamlessly with any agent framework (including Python LangGraph), features a cloud-agnostic architecture, and is specifically designed for Kubernetes environments.

Does Diagrid Catalyst provide security and authentication features?

Yes, each agent and MCP server is assigned a cryptographic identity with mutual TLS (mTLS) enabled by default, delivering strong authentication between agents and services alongside built-in identity and access management.

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Diagrid Catalyst

Diagrid Catalyst provides agentic durable execution, automatic failure recovery, state management, and multi-region resilience to build and scale reliable AI agents and MCP servers.

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7 days ago

Listed

Agents

AI Agents

Durable Execution

MCP Servers

Serverless

State Management

Kubernetes

Tool information

Provider

Diagrid

Platforms

Web

Kubernetes

Languages

Python

API Available

Yes

Added to directory

7 days ago

Last updated

1 day ago

Rating

Not available

Pricing

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About Diagrid Catalyst

What the tool does and who it's for

Diagrid Catalyst is an enterprise-ready, serverless, and multi-region platform designed for building reliable and verifiable AI agents and MCP servers with agentic durable execution. Catalyst 2.0 replaces fragile checkpoints with automatic recovery to ensure agents recover from every failure and remain continuously available even during major outages. It provides durable workflows, service invocation, pub/sub messaging, state management, inter-agent communication, and service discovery across nodes and clusters. Cloud-agnostic and optimized for Kubernetes environments, it features cryptographic identity with default mutual TLS (mTLS) for strong authentication, a unifying API for infrastructure and LLM providers, and built-in governance for platform teams.

Key capabilities

Agentic durable execution with automatic failure recovery and lasting execution.

Comprehensive state management, durable workflows, service invocation, and pub/sub messaging.

Support for MCP servers and compatibility with any agent framework including Python LangGraph.

Scalable cross-node and cluster deployment with full state recovery and inter-agent communication.

Built-in identity and access management with cryptographic identity and default mutual TLS (mTLS).

Multi-region failover capability ensuring workflow and agent continuity during major outages.

Unifying API for seamless interaction with infrastructure and LLM providers.

Cloud-agnostic, serverless architecture designed for Kubernetes environments with platform governance.

Pricing

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Enterprise

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Serverless & multi-region deployment
Agentic durable execution & state recovery
Cryptographic identity & mTLS
Unifying infrastructure & LLM API
Platform team governance

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