AI Agent Builder

Manual tasks are holding your business back

Teams spend countless hours on manual workflows that could be automated. From customer inquiries to data processing, these repetitive processes drain productivity and prevent teams from focusing on growth-driving initiatives. Unlike simple chatbots that follow predefined scripts, AI agents are intelligent systems that grasp complexity, reason through complex problems, and take autonomous actions. With DigitalOcean's GenAI platform, you can create sophisticated agents that work 24/7, make decisions based on your business logic, and handle multi-step workflows while being more cost-effective and more straightforward to deploy than complex hyperscaler solutions. These agents can automate customer support inquiries, process data analysis and reporting, manage inventory and order fulfillment, or handle appointment scheduling and follow-ups across your business operations.

Build your custom AI Agent

Intelligent agent creation made simple

Use DigitalOcean's GenAI platform to create autonomous agents that understand your unique business requirements and deliver consistent results across interactions.

Start building your AI Agent

Design your agent's knowledge

Build comprehensive knowledge bases using your existing documentation, policies, and data sources. Your AI agent will instantly access up-to-date information through Retrieval-Augmented Generation (RAG), ensuring accurate and relevant responses that align with your business standards and maintaining uniform interactions.

Select your AI model

Choose from advanced language models, including Claude, GPT-4, Llama, Mistral, and DeepSeek, which deliver sophisticated reasoning and decision-making capabilities. Unlike complex hyperscaler environments requiring deep machine learning expertise, our GenAI platform simplifies configuring and deploying with proprietary and open-source LLMs.

Secure agent deployment

Deploy AI agents with enterprise-grade security through private endpoints, protecting sensitive business data. Configure custom instructions, enable function calling, and implement multi-agent orchestration for complex workflows, all while maintaining data privacy and compliance with your security standards.

Empower agents with actions

Connect your AI agents to existing business tools, databases, and APIs through custom functions. Enable agents to take real-world actions, retrieve real-time data, and execute complex workflows across your technology stack. Support for multi-agent coordination allows for sophisticated task delegation and specialized tool usage without manual intervention.

Learn more about DigitalOcean's GenAI platform

Our GenAI platform is comprehensive and simplifies creation, customization, and deployment. It allows you to build autonomous agents that can reason, make decisions, and take action without requiring extensive AI development expertise or complex infrastructure management.

Multi-agent architecture

Design agent systems where multiple specialized agents work together. Create a primary agent that coordinates with specialized agents for tasks like data analysis, content generation, or customer support, enabling complex workflow automation and task delegation. Each agent has built-in guardrails to protect your data, company, and end users with input and output content moderation, jailbreak detection, and sensitive data detection.

Orchestrate multiple agents for complex business processes
Enable specialized agents for different domains or functions
Maintain context and memory across agent interactions

Intelligent function calling

Equip your agents with the ability to interact with external systems and perform real-world actions through custom functions and API integrations.

Connect to CRMs and business applications
Execute real-time data retrieval and processing
Automate complex multi-step workflows

Advanced knowledge integration

Build agents with a deep understanding of your business using knowledge base integration and retrieval-augmented generation (RAG). Ingest documents, policies, and unstructured data to create dynamic agents that stay up-to-date without retraining.

Maintain continuously updated knowledge
Support multiple data formats and sources
Ground responses in your unique context

Agent evaluation

Systematically test and validate your AI agents with comprehensive evaluation capabilities before deployment. Measure agent performance across quality, safety, and accuracy dimensions using research-backed metrics and standardized testing scenarios.

Create reusable evaluation templates with customizable metrics
Assess performance across general quality
RAG effectiveness and tool use accuracy

Traceability

With comprehensive tracing capabilities, you can gain complete visibility into agent processing steps from input to output. Transform your AI agents from "black box" systems into transparent, debuggable solutions that enable faster troubleshooting and cost optimization.

Detailed breakdown of costs by system component
Identify bottlenecks and optimize agent performance
Enhanced troubleshooting to eliminate processing mysteries

Flexible model access

Choose from leading proprietary and open-source models, like DeepSeek-R1, Mistral, Anthropic, and OpenAI, based on your use case, performance needs, and budget. With serverless inference, no provisioning or scaling is required—just a simple API and transparent, usage-based billing.

Access the latest high-performance reasoning models
Support for both proprietary and open-source LLMs
Pay only for what you use with token-based pricing

Resources to help you build

Build an AI Agent or Chatbot with GenAI Platform Integration

Learn AI agent integration

Integrating GenAI Agents into Your Website: A Step-by-Step Guide

Learn more

Build an AI Agent to Automate Document Analysis with GenAI

Build your agent

How to Build AI Agents with Ruby

Read tutorials

FAQs

What is an AI agent builder?

Deploying an AI agent to production with DigitalOcean’s GenAI platform is straightforward through our managed deployment process. Once you’ve configured and tested your agent, you can deploy it with automatic scaling and monitoring. The platform automatically handles infrastructure management, API endpoint creation, and performance optimization while providing secure, scalable endpoints that integrate seamlessly with you movement icon r applications.

How do I deploy an AI agent to production?

DigitalOcean’s GenAI platform uses managed infrastructure that automatically scales based on demand while maintaining cost-effectiveness compared to traditional GPU-intensive deployments. The platform handles load balancing, resource allocation, and performance optimization automatically. You benefit from transparent, usage-based pricing with built-in monitoring and observability for tracking agent performance and costs across different traffic levels.

Can I integrate external tools with my AI agents?

Deploying an AI agent to production with DigitalOcean’s GenAI platform is straightforward through our managed deployment process. Once you’ve configured and tested your agent, you can deploy it with automatic scaling and monitoring. The platform automatically handles infrastructure management, API endpoint creation, and performance optimization while providing secure, scalable endpoints that integrate seamlessly with your applications.

Does this work with open-source LLMs?

DigitalOcean’s GenAI platform supports a variety of open-source language models, including Llama, Mistral, and DeepSeek. Our platform offers flexibility to switch between models based on your needs. You can easily configure open-source models without managing complex infrastructure. We handle the deployment complexity while you focus on building intelligent agents.

How does your AI agent builder scale with traffic?