What are Amazon Bedrock Agents?
Amazon Bedrock Agents is a fully managed service from AWS that enables developers to build autonomous AI agents on top of foundation models. Unlike simple chatbots, Bedrock Agents independently plan and execute complex, multi-step tasks. The service uses the ReAct architecture (Reasoning + Acting): the agent analyzes the task, decides on the next step, executes an action, and evaluates the result until the task is fully complete.
Bedrock Agents supports every foundation model available in Amazon Bedrock, including Anthropic Claude and Amazon Nova. Since 2025, AWS has significantly expanded the capabilities: multi-agent collaboration is generally available, agents retain context across sessions, and Amazon Bedrock AgentCore provides a modular platform to run and scale agents in production.
Core Features
- Autonomous orchestration: The agent breaks a task into logical steps on its own, calls the required tools, and runs the workflow through to a result.
- Action Groups and tool use: Available tools are defined via OpenAPI specifications and executed via AWS Lambda. With Return of Control, the call can instead be handed back to your own code.
- Knowledge Bases and RAG: Agents access Amazon Bedrock Knowledge Bases directly and incorporate current enterprise data via semantic search into their responses.
- Memory across sessions: Agents retain context from previous interactions, delivering more personalized and consistent responses.
- Code Interpreter: The agent generates Python code and runs it in a secure, managed sandbox to perform calculations, data analysis, or visualizations.
- Multi-agent collaboration: A supervisor agent coordinates multiple specialized sub-agents. Guardrails enforce safety and compliance for inputs and outputs.
Typical Use Cases
- Customer service automation: Agents answer requests, look up knowledge bases, and trigger multi-step actions such as status checks or refunds.
- Internal process automation: Agents connect ERP, CRM, and ticketing systems via APIs and run recurring business operations on their own.
- Data analysis and reporting: Through the Code Interpreter, agents evaluate data, build reports, and deliver visualizations on demand.
- Complex multi-agent workflows: Specialized agents handle subtasks such as research, validation, and execution under the coordination of a supervisor agent.
Benefits
- Faster delivery: The managed service handles planning, tool calls, and orchestration, so less custom code is needed for the agent logic.
- No separate agent fee: There is no extra charge for the orchestration itself. You pay for the tokens of the models used and for connected services.
- Data sovereignty in the EU: Bedrock Agents runs in several EU regions, including Frankfurt, Zurich, Ireland, London, and Paris. Data does not leave the selected region.
- Production-ready scaling: Amazon Bedrock AgentCore runs agents securely and in isolation, including Runtime, Gateway, Memory, and Observability, plus support for MCP and A2A.
Integration with innFactory
As an AWS Reseller, innFactory supports you in designing and implementing Bedrock Agents for your business processes, from requirements analysis and tool and action group design to production integration into your existing system landscape. We help select the right foundation models, connect Knowledge Bases, build multi-agent architectures, and run agents in production with AgentCore in an EU region.
Typical Use Cases
Frequently Asked Questions
What are Amazon Bedrock Agents?
Amazon Bedrock Agents is a managed service that enables building autonomous AI agents on top of foundation models. Agents can independently plan tasks, execute them in multiple steps, and access external APIs, databases, and knowledge bases along the way.
What is the ReAct architecture in Bedrock Agents?
ReAct (Reasoning + Acting) is the planning paradigm used by Bedrock Agents. The agent reasons step by step, decides which action to take next, executes it, and evaluates the result. This cycle repeats until the task is complete.
What are Action Groups in Bedrock Agents?
Action Groups define the tools an agent is allowed to use. Each action group consists of an OpenAPI specification (which API endpoints are available) and a Lambda function that executes the API call. This allows the agent to query databases, send emails, or call external services. Alternatively, Return of Control hands the call back to your own code instead of running a Lambda function.
How does Bedrock Agents integrate with Knowledge Bases?
Bedrock Agents can be directly connected to Amazon Bedrock Knowledge Bases. The agent automatically decides when a semantic search over the knowledge base is useful and incorporates the results into its response, enabling RAG without manual implementation overhead.
How much does Amazon Bedrock Agents cost?
There is no separate charge for the orchestration layer itself: the InvokeAgent call is not billed extra. You pay for the tokens of the foundation models used and for connected services such as Knowledge Bases or Lambda. Since an agent can trigger several model calls per request, plan for token consumption across the workflow.
What is the difference between Bedrock Agents and Bedrock AgentCore?
Bedrock Agents is the managed orchestration within Amazon Bedrock. Amazon Bedrock AgentCore (generally available since October 2025) adds a modular platform of Runtime, Memory, Gateway, Browser, Code Interpreter, Identity, and Observability. AgentCore runs agents from any framework and model, supports the Model Context Protocol (MCP) and Agent-to-Agent (A2A), and allows runtimes of up to eight hours per session.
Does Bedrock Agents support multi-agent collaboration?
Yes. Multi-agent collaboration has been generally available since March 2025. A supervisor agent coordinates multiple specialized sub-agents that handle different subtasks. Inline agents also let you adjust roles and behavior at runtime.
Is Amazon Bedrock Agents GDPR compliant?
Amazon Bedrock Agents is available in several EU regions, including Frankfurt (eu-central-1), Zurich (eu-central-2), Ireland (eu-west-1), London (eu-west-2), and Paris (eu-west-3). AWS provides GDPR-compliant data processing agreements. Inputs and outputs do not leave the selected region as long as cross-region inference is not enabled.