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Official Anthropic PartnerAgent Architecture

Claude Agents.Autonomous AI That Ships.

We build production agent systems with Claude managed agents and the Anthropic Agent SDK. Autonomous workflows, multi-agent orchestration, and tool-using agents for businesses that want AI doing real work.

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Managed
Hosted Agent Runtime
SDK
Build Your Own
1-5 Wks
To Production

What Are Claude Agents?

Claude agents are AI systems that go beyond answering questions. They take actions. An agent receives an objective, breaks it into steps, uses tools to gather information and execute tasks, evaluates its own progress, and delivers a completed result. The difference between a chatbot and an agent is the difference between someone who gives you directions and someone who drives you there.

Anthropic offers two paths to building agents with Claude. Managed agents are Anthropic's hosted autonomous agent runtime, launched in April 2026. You define the task, connect the tools, and Anthropic handles the infrastructure — scaling, monitoring, error handling, and safety controls. It is the fastest way to get production agents running. The second path is the Agent SDK, released in April 2025. The SDK gives you the building blocks — agent loops, tool definitions, context management, multi-agent handoffs, and guardrails — to build and host agents on your own infrastructure. Full control, full responsibility.

The practical distinction matters. Managed agents are a service. You configure and deploy them. Agent SDK agents are software you build, test, and operate. Most businesses benefit from both: managed agents for standard workflows where speed matters, and SDK-built agents for specialized processes that require custom orchestration or tight integration with proprietary systems.

We have been building Claude agent systems since the earliest Agent SDK releases and deploying managed agents since launch. Our team designs agent architectures, builds the MCP integrations that give agents access to your tools and data, implements the monitoring and guardrails that keep agents reliable, and trains your team to operate and extend the systems we build. If you are evaluating Claude agents for your business, start with our Claude consulting overview for the full picture of what we deliver.

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What We Build

From single autonomous workflows to multi-agent systems with full observability. Every layer of Claude's agent stack, configured for your business.

Autonomous Workflows

Agents that execute multi-step business processes end-to-end — research, analysis, document generation, and action — without requiring human input at each stage. Define the objective and the agent handles the rest.

Multi-Agent Systems

Hierarchical agent architectures where specialized sub-agents handle discrete tasks under a coordinator. Parallel execution, context sharing, and intelligent routing for complex workflows that require different skills.

Tool-Using Agents

Agents that connect to your databases, APIs, CRMs, and internal tools through MCP servers. Claude reads your data, takes actions in your systems, and produces outputs grounded in real information — not hallucinated guesses.

Agent Monitoring & Observability

Production-grade logging, cost tracking, human-in-the-loop checkpoints, and real-time dashboards. Every agent decision is auditable. Every run has budget limits. Your team stays in control without becoming a bottleneck.

Guardrails & Safety Controls

Configurable boundaries that keep agents within defined operating parameters. Output validation, sensitive action confirmation, escalation rules, and kill switches. Autonomous does not mean uncontrolled.

Agent Infrastructure

The underlying architecture that makes agents reliable at scale — retry logic, context management, state persistence, error recovery, and graceful degradation. We build the boring infrastructure that keeps agents running in production.

Have a workflow you want an agent to run?

Leave an email and describe the workflow. We will send back whether an agent is the right tool for it, and what the first version would do.

No sequence, no spam. Or book a call directly.

Managed Agents vs Agent SDK

Two paths to production agents. The right choice depends on your workflow complexity, infrastructure requirements, and timeline.

Managed Agents

Anthropic hosts and runs your agents

  • Fastest path to production — deploy in days, not weeks
  • Anthropic handles infrastructure, scaling, and uptime
  • Built-in monitoring, logging, and safety controls
  • Best for standard agent workflows and common business tasks
  • Lower engineering overhead — no agent runtime to maintain
  • Automatic updates as Anthropic improves the runtime

Agent SDK

You build and host your own agents

  • Full control over agent behavior and orchestration logic
  • Custom tool definitions and integration patterns
  • Host on your own infrastructure for data residency requirements
  • Complex multi-agent topologies with custom handoff logic
  • Fine-grained control over context, memory, and state
  • Best for specialized workflows with proprietary requirements

Not sure which approach fits? Review Anthropic's documentation for technical details, or talk to us — most of our clients use a combination. We help you determine the right architecture during the first week of any engagement.

Frequently Asked Questions

Common questions about Claude agents, managed agents, the Agent SDK, and working with OneWave AI.

What are Claude managed agents?
Managed agents are Anthropic's hosted autonomous agent runtime, launched in April 2026. They let Claude execute multi-step tasks independently — researching, analyzing, writing, and taking actions across connected tools without human intervention at each step. Think of them as a managed service: Anthropic handles the infrastructure, scaling, monitoring, and safety controls. You define the task and the tools the agent can use. The agent handles the execution. For most businesses, managed agents are the fastest path to production-grade autonomous workflows.
What is the Anthropic Agent SDK?
The Agent SDK is Anthropic's developer toolkit for building custom Claude-powered agents on your own infrastructure. Released in April 2025, it provides the primitives you need: agent loops, tool use, context management, multi-agent handoffs, and guardrails. The SDK gives you full control over how agents behave, where they run, and how they interact with your systems. It's the right choice when managed agents don't fit — proprietary infrastructure requirements, custom orchestration patterns, or workflows that need deep integration with existing systems.
When should we use managed agents vs the Agent SDK?
Start with managed agents if you want results fast and your workflows are relatively standard — document processing, research, data analysis, customer communication triage. The infrastructure is handled for you. Move to the Agent SDK when you need custom orchestration (e.g., multi-agent pipelines with proprietary routing logic), strict data residency requirements, or integration with infrastructure Anthropic's managed runtime doesn't support. Many of our clients use both: managed agents for standard workflows and SDK-built agents for specialized ones.
What kinds of tasks can Claude agents handle?
Anything that can be broken into discrete steps with clear success criteria. In practice, that covers a lot: research across multiple data sources, document drafting and review, data extraction and transformation, code generation and testing, customer communication triage, compliance checking, report generation, and multi-step workflows that span tools and systems. The constraint isn't capability — it's whether you can define what "done" looks like for the task.
How do you keep autonomous agents under control?
Every agent we deploy includes structured logging of every action and decision, human-in-the-loop checkpoints for high-stakes operations, cost tracking with hard budget limits per run, output validation against quality criteria, escalation rules for edge cases, and real-time dashboards for team oversight. Autonomous means the agent executes without step-by-step supervision. It does not mean unsupervised. The monitoring infrastructure is as important as the agent itself.
How long does it take to deploy agents?
A single managed agent workflow: 1 to 2 weeks from kickoff to production. A multi-agent system with SDK orchestration, MCP integrations, and full monitoring: 3 to 5 weeks. Timeline varies based on the number of tool integrations, complexity of the workflow, and whether you need custom compliance controls. We push to get a working agent in your hands within the first two weeks regardless of total project scope.

Build Your First Claude Agent

Tell us what workflow you want to automate. We will map out the agent architecture, recommend managed agents vs Agent SDK, and give you a realistic timeline and cost estimate. No pitch deck — just a practical conversation.

Claude Consulting Overview