diff --git a/daprdocs/content/en/developing-ai/dapr-agents/_index.md b/daprdocs/content/en/developing-ai/dapr-agents/_index.md index cfa94c00bad..e75e9f12c60 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/_index.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/_index.md @@ -4,6 +4,8 @@ title: "Dapr Agents" linkTitle: "Dapr Agents" weight: 25 description: "A framework for building durable and resilient AI agent systems at scale" +aliases: + - /developing-applications/dapr-agents --- ### What is Dapr Agents? diff --git a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-core-concepts.md b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-core-concepts.md index 11511c2fce1..e2515d21743 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-core-concepts.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-core-concepts.md @@ -4,6 +4,8 @@ title: "Core Concepts" linkTitle: "Core Concepts" weight: 40 description: "Learn about the core concepts of Dapr Agents" +aliases: + - /developing-applications/dapr-agents/dapr-agents-core-concepts --- Dapr Agents provides a structured way to build and orchestrate applications that use LLMs without getting bogged down in infrastructure details. The primary goal is to enable AI development by abstracting away the complexities of working with LLMs, tools, memory management, and distributed systems, allowing developers to focus on the business logic of their AI applications. Agents in this framework are the fundamental building blocks. diff --git a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-getting-started.md b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-getting-started.md index dc7fe4dc3ef..4cd7fba0201 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-getting-started.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-getting-started.md @@ -4,6 +4,8 @@ title: "Getting Started" linkTitle: "Getting Started" weight: 20 description: "How to install Dapr Agents and run your first agent" +aliases: + - /developing-applications/dapr-agents/dapr-agents-getting-started --- {{% alert title="Dapr Agents Concepts" color="primary" %}} diff --git a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-integrations.md b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-integrations.md index be6ce59e0ab..61c3e46cd00 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-integrations.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-integrations.md @@ -4,6 +4,8 @@ title: "Integrations" linkTitle: "Integrations" weight: 60 description: "Various integrations and tools available in Dapr Agents" +aliases: + - /developing-applications/dapr-agents/dapr-agents-integrations --- # Out-of-the-box Tools diff --git a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-introduction.md b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-introduction.md index 86dffba8cb3..40a3bae070f 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-introduction.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-introduction.md @@ -4,6 +4,8 @@ title: "Introduction" linkTitle: "Introduction" weight: 10 description: "Overview of Dapr Agents and its key features" +aliases: + - /developing-applications/dapr-agents/dapr-agents-introduction --- ![Agent Overview](/images/dapr-agents/concepts-agents-overview.png) diff --git a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-patterns.md b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-patterns.md index b5219a9df40..fa6eda426d6 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-patterns.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-patterns.md @@ -4,6 +4,8 @@ title: "Agentic Patterns" linkTitle: "Agentic Patterns" weight: 50 description: "Common design patterns and use cases for building agentic systems" +aliases: + - /developing-applications/dapr-agents/dapr-agents-patterns --- Dapr Agents simplify the implementation of agentic systems, from simple augmented LLMs to fully autonomous agents in enterprise environments. The following sections describe several application patterns that can benefit from Dapr Agents. diff --git a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-quickstarts.md b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-quickstarts.md index 2b64d79bd1c..663eac16140 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-quickstarts.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-quickstarts.md @@ -4,6 +4,8 @@ title: "Quickstarts" linkTitle: "Quickstarts" weight: 70 description: "Get started with Dapr Agents through practical step-by-step examples" +aliases: + - /developing-applications/dapr-agents/dapr-agents-quickstarts --- [Dapr Agents Quickstarts](https://github.com/dapr/dapr-agents/tree/main/quickstarts) demonstrate how to use Dapr Agents to build applications with LLM-powered autonomous agents and event-driven workflows. Each quickstart builds upon the previous one, introducing new concepts incrementally. diff --git a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-why.md b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-why.md index e297fec1adc..afb32bdbf2d 100644 --- a/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-why.md +++ b/daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-why.md @@ -4,6 +4,8 @@ title: "Why Dapr Agents" linkTitle: "Why Dapr Agents" weight: 30 description: "Understanding the benefits and use cases for Dapr Agents" +aliases: + - /developing-applications/dapr-agents/dapr-agents-why --- Dapr Agents is an open-source framework for building and orchestrating LLM-based autonomous agents that leverages Dapr's proven distributed systems foundation. Unlike other agentic frameworks that require developers to build infrastructure from scratch, Dapr Agents enables teams to focus on agent intelligence by providing enterprise-grade scalability, state management, and messaging capabilities out of the box. This approach eliminates the complexity of recreating distributed system fundamentals while delivering agentic workflows powered by Dapr.