Develop Agents

Build production-ready AI agents on Diagrid Catalyst by combining any of the supported agent frameworks below with Dapr for durable execution, pluggable memory, and swappable LLM providers. Each framework guide shows how to make existing agents crash-proof with durable workflows and how to expose tools over MCP servers. New to agents? Start with the AI agent quickstart to build and deploy your first durable agent in under 15 minutes, then come back here to wire up your preferred framework.

Catalyst works with the following agent frameworks.

Dapr Agents

Native Dapr agent framework with built-in durability, state, and pub/sub for multi-agent orchestration.

CrewAI

Multi-agent crews with role-based collaboration, made durable with Catalyst.

LangGraph

Graph-based agent orchestration with conditional routing, made durable with Catalyst.

Strands

Model-driven agent framework from AWS with tool use, made durable with Catalyst.

Microsoft Agent Framework

Enterprise agent framework from Microsoft, made durable with Catalyst.

Google ADK

Agent Development Kit with Gemini integration, made durable with Catalyst.

OpenAI Agents

Function tools and agent handoffs from OpenAI, made durable with Catalyst.

Pydantic AI

Type-safe agent framework with structured outputs, made durable with Catalyst.

Deep Agents

LangChain-based deep agent framework with durable tool execution, made durable with Catalyst.

Claude Agents

Anthropic's Claude Agent SDK with native tool calling, made durable with Catalyst.

Deploy to Kubernetes

Deploy any agent framework to Kubernetes with Catalyst.

🎓Dapr & AI University · Learn this hands-onDapr Agents: Build LLM-powered intelligent applications with tools and workflowsBuild intelligent agents with custom tool calls, MCP integration, and multi-agent collaboration. Requires an OpenAI API key.Intermediate45 minPythonStart the track →