Amazon Bedrock Agents

What is Amazon Bedrock Agents?

Amazon Bedrock Agents lets developers create generative AI agents that carry out multistep tasks across company systems. You choose a foundation model, write instructions in natural language, and the agent breaks a request into steps, calls the APIs you connect, retrieves facts from your knowledge bases and asks for more information when it needs it. The service supports memory retention across interactions, a secure code interpreter for analysis and charts, Amazon Bedrock Guardrails for safety, and multi-agent collaboration in which a supervisor agent coordinates specialized agents. AWS says new customers can no longer sign up for Bedrock Agents Classic and directs them to Amazon Bedrock AgentCore for similar capabilities. AgentCore pricing is separate: it is billed on consumption with no upfront commitment or minimum fee, and new AWS customers can receive up to $200 in Free Tier credits. Those AgentCore terms do not apply to Bedrock Agents Classic. Model usage on Bedrock is priced per provider and model, and batch inference on selected models costs 50% less than on-demand.

Use cases

• Automate multistep business workflows
• Answer questions from company knowledge bases
• Call internal APIs from an AI agent
• Coordinate specialist agents with a supervisor
• Run data analysis with a code interpreter
• Remember prior interactions across sessions

Who it's for

• AWS developers
• Enterprise IT teams
• AI engineers
• Solution architects

Why use Amazon Bedrock Agents

• An agent can be set up in a few steps, so teams skip building their own orchestration loop.
• Agents connect to your APIs and knowledge bases, which lets them act on real company data rather than only chat.
• Multi-agent collaboration splits complex workflows into smaller tasks handled by specialized agents.
• You can pick from many model providers and move work to cheaper batch or Flex tiers.
• AgentCore's pay-for-use billing means no minimum fee or upfront commitment.

Amazon Bedrock Agents features

• Agent creation from a chosen foundation model and natural-language instructions
• Automatic task breakdown and API calls to company systems
• Retrieval augmented generation over connected data sources
• Multi-agent collaboration with a supervisor agent
• Memory retention across interactions
• Code interpretation in a secure environment
• Amazon Bedrock Guardrails for built-in safety controls
• Access to models from Anthropic, Meta, Mistral AI, Amazon, Cohere and others
• Standard, Flex, Priority and Reserved service tiers

Amazon Bedrock Agents integrations

• Anthropic
• Meta
• Mistral AI
• Amazon Nova
• Amazon Titan
• Cohere
• DeepSeek
• Google Gemma
• OpenAI
• Amazon S3

How to get started with Amazon Bedrock Agents

1. In the AWS console, pick a foundation model and write instructions describing the agent's job.
2. Connect action APIs and knowledge bases that the agent can use to complete the work.
3. The agent plans the steps, calls the needed APIs, retrieves information and asks for details when missing.
4. Add memory, a code interpreter, Guardrails or additional agents, then monitor usage and cost in AWS.

Amazon Bedrock Agents limitations

• Bedrock Agents Classic is closed to new customers
• No flat price exists; cost depends on model, region, tier and consumed resources
• Some Anthropic models are gated and require approval from the account team
• AgentCore billing includes system overhead and network transfer at standard EC2 rates

Amazon Bedrock Agents pricing

Amazon Bedrock Agents has no free plan.

Amazon Bedrock Agents plans

• Pay as you go

  Usage-based

  no upfront commitment or minimum fee

  • Model pricing varies by provider and model
  • Batch inference 50% lower on selected models
  • New AWS customers: up to $200 Free Tier credits

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Amazon Bedrock Agents alternatives

The main Amazon Bedrock Agents alternatives listed on Debuly are OpenAI Agents SDK, LangGraph, CrewAI, CUGA, Tray.ai and Moveworks. The table compares pricing and platforms; order is A–Z.

1. 

   CrewAI

   Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit CrewAI (official site)
2. 

   CUGA

   Open-source IBM Research agent harness that runs policy-controlled enterprise automation on your own infrastructure.

   Automation and agentsDeveloper platforms
   Open sourceVisit CUGA (official site)
3. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)
4. 

   Moveworks

   Enterprise AI assistant platform that answers employee questions and completes tasks across IT, HR, finance and other teams.

   Automation and agentsChat assistantsProductivity
   Contact salesVisit Moveworks (official site)
5. 

   OpenAI Agents SDK

   Open-source Python framework for building multi-agent workflows with tools, handoffs, guardrails, tracing, sandboxes and voice agents.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit OpenAI Agents SDK (official site)
6. 

   Tray.ai

   Integration and automation platform for building governed AI agents, MCP services and workflows across 700+ connectors.

   Automation and agentsDeveloper platforms
   Free trialVisit Tray.ai (official site)

Amazon Bedrock Agents FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from a0.awsstatic.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.