Dapr is an open-source runtime for building distributed applications, workflows, and AI agents. It provides durable execution, secure service-to-service communication, state management, event-driven messaging, and a consistent set of APIs that run anywhere — on Kubernetes, in the cloud, at the edge, or on your laptop.
Whether you're building AI agents, business-critical workflows, microservices, or event-driven systems, Dapr lets you focus on business logic instead of plumbing. Dapr runs as a sidecar, so every capability is available from any language over standard HTTP and gRPC, with native SDKs for .NET, Java, Python, Go, JavaScript/TypeScript, and Rust — no framework lock-in and no boilerplate to reach production-ready reliability, security, and observability.
Why Dapr?
Modern applications are no longer simple request/response services. They are long-running workflows, AI agents, event-driven pipelines, multi-agent systems, and human-in-the-loop processes — and they must survive failures, maintain state, and communicate securely in production.
Building all of that reliably is hard. Dapr brings proven patterns and battle-tested building blocks together into one consistent programming model, so you don't have to reinvent durability, security, or messaging for every service you ship. You're never exposed to low-level primitives like threading, partitioning, or retry logic — and you can move seamlessly between platforms and backing infrastructure without rewriting your code. Platform teams use Dapr to provide governance and golden paths, while application teams get simple APIs that work the same everywhere.
Durable Execution
Applications fail. Infrastructure restarts. Networks partition. Your workflows and agents shouldn't lose their progress when that happens.
Dapr Workflows provide durable execution that automatically persists progress and resumes from the last completed step after:
- Process crashes
- Pod restarts
- Node failures
- Rolling deployments
- Infrastructure interruptions
Instead of restarting from the beginning, execution picks up exactly where it left off — with no extra database or state-machine code to write. You author workflows as ordinary code in your language of choice; if the application crashes midway through, Dapr recovers automatically and resumes from the next unfinished step.
Common use cases: AI agents, customer onboarding, order processing, human-approval flows, document processing, and other multi-step business processes.
Author workflows with the Dapr SDKs for .NET, Java, Python, Go, JavaScript/TypeScript, and Rust. The workflow engine gives you:
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