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Dapr Agents, built on Dapr, enables developers to create scalable AI agents with LLMs, ensuring reliable workflows.

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Dapr Agents

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Dapr Agents

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Dapr Agents

Introduction

Dapr Agents is a developer framework for building scalable, resilient AI agent systems. Leveraging the robust Dapr project, it empowers software developers to create AI agents that utilize Large Language Models (LLMs) for reasoning, action, and collaboration. With built-in observability and stateful workflow execution, it ensures complex agentic workflows complete reliably in production environments.

Dapr Agents

Features

✨ Scale & Efficiency
Run thousands of agents efficiently on a single core, with Dapr managing distribution and lifecycle.

✨ Workflow Resilience
Ensures task completion by automatically retrying agentic workflows.

✨ Kubernetes-Native
Seamlessly deploy and manage agents in Kubernetes environments.

✨ Data-Driven Agents
Connect to various data sources, including databases and unstructured data, for direct integration.

✨ Multi-Agent Systems
Designed for secure, observable collaboration between agents.

✨ Vendor-Neutral & Open Source
Flexible for both cloud and on-premises, eliminating vendor lock-in.

✨ Platform-Ready
RBAC, access scopes, and declarative resources simplify integration into enterprise systems.

Dapr Agents

Use Cases

✓ Autonomous AI Workflows
Execute complex, stateful workflows with AI agents that reason, act, and collaborate.

✓ Scalable Multi-Agent Systems
Develop and deploy AI agents that seamlessly interact and operate at scale.

✓ Resilient Task Automation
Ensure workflow completion with automatic retries and built-in observability.

✓ Data-Driven AI Agents
Integrate directly with various data sources, including databases and unstructured data.

✓ Kubernetes-Based Deployments
Easily manage and scale AI agents within Kubernetes environments.

✓ Vendor-Agnostic AI Solutions
Deploy flexibly across cloud and on-premises setups without vendor lock-in.

✓ Enterprise-Ready AI Platforms
Leverage RBAC, access controls, and declarative resources for secure integration.

Dapr Agents

Integration Method

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