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AWS Bedrock & AgentCore

Our AWS practice spans both Amazon Bedrock's declarative agent management and AgentCore's low-level modular execution engine for production-grade autonomous agent deployment. We architect multi-model inference pipelines, guardrail configurations, and knowledge base integrations using Bedrock's managed infrastructure, while leveraging AgentCore's secure microVM runtime, identity-aware tool access, memory persistence, and observability stack for mission-critical workloads. Our deployments are framework-agnostic — supporting LangGraph, CrewAI, and custom orchestration loops within enterprise VPC boundaries.

The Complete AWS AI Agent Infrastructure

Amazon Bedrock and AgentCore together form the most comprehensive cloud-native agent infrastructure available. Bedrock provides the declarative management plane — configuring business logic, guardrails, and task execution — while AgentCore provides the low-level modular execution engine with secure microVM runtime, identity-aware tool access, and production-grade observability. ColdAI's AWS practice architects deployments that leverage both layers, delivering framework-agnostic agent systems that run LangGraph, CrewAI, or custom orchestration within enterprise VPC boundaries.

AWS Bedrock & AgentCore Performance

<300ms
Agent Response Latency
99.4%
Multi-Model Routing Accuracy
-58%
Infrastructure Cost Reduction
100%
Security Compliance Score

AgentCore Service Architecture

Eight core services powering production-grade autonomous agents

Secure Runtime

Isolated microVM execution environment for hosting any agent framework — LangGraph, CrewAI, or custom Python/LangChain agents — with full control over the orchestration loop.

Memory & Context

Persistent memory layer enabling agents to maintain conversational context, store intermediate results, and recall previous interactions across sessions.

Tool Access & Identity

Identity-aware tool access with fine-grained IAM policies ensuring agents can only invoke approved tools with appropriate permissions.

Policy & Guardrails

Deterministic policy gates that enforce content filtering, PII detection, topic restrictions, and custom business rules before agent actions execute.

Observability Stack

CloudWatch integration, distributed tracing, and custom metrics providing full visibility into agent reasoning chains, tool invocations, and performance.

Multi-Model Orchestration

Route queries to optimal foundation models — Claude, Llama, Mistral, or custom models — based on task complexity, cost constraints, and latency requirements.

Our AWS Agent Deployment Methodology

From architecture to production-grade autonomous systems

01

Architecture Design

Design the agent topology — selecting between Bedrock Agents for managed deployments or AgentCore for custom framework hosting — with VPC, IAM, and network architecture.

02

Knowledge Base Integration

Connect agents to enterprise data sources via Bedrock Knowledge Bases, S3, and vector stores for grounded, accurate responses.

03

Guardrail Configuration

Implement content filters, PII detection, topic restrictions, and custom business rules using Bedrock Guardrails and AgentCore Policy service.

04

Multi-Agent Orchestration

Build collaborative agent systems where specialized agents handle different aspects of complex tasks with supervisor coordination.

05

Production Hardening

Deploy with PrivateLink, VPC endpoints, CloudFormation automation, resource tagging, and comprehensive monitoring for enterprise-grade reliability.

Bedrock Agents vs AgentCore

CapabilityBedrock AgentsAgentCore
Abstraction LevelHigh — declarative configurationLow — modular execution engine
Framework SupportAWS-managed agent frameworkAny framework (LangGraph, CrewAI, custom)
CustomizationAction groups, knowledge bases, guardrailsFull orchestration loop control
Ideal ForStandard agent use cases with managed infrastructureComplex, custom agent architectures at scale
Security ModelIAM-based with managed guardrailsIsolated microVMs with identity-aware tool access

Deploy Production-Grade AI Agents on AWS

Our AWS-certified team will design and deploy autonomous agent systems on Bedrock and AgentCore that meet your performance, security, and compliance requirements.

Contact Our Team
Cross-Industry Expertise

Deployed Across 27 Industries