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
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
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.
Knowledge Base Integration
Connect agents to enterprise data sources via Bedrock Knowledge Bases, S3, and vector stores for grounded, accurate responses.
Guardrail Configuration
Implement content filters, PII detection, topic restrictions, and custom business rules using Bedrock Guardrails and AgentCore Policy service.
Multi-Agent Orchestration
Build collaborative agent systems where specialized agents handle different aspects of complex tasks with supervisor coordination.
Production Hardening
Deploy with PrivateLink, VPC endpoints, CloudFormation automation, resource tagging, and comprehensive monitoring for enterprise-grade reliability.
Bedrock Agents vs AgentCore
| Capability | Bedrock Agents | AgentCore |
|---|---|---|
| Abstraction Level | High — declarative configuration | Low — modular execution engine |
| Framework Support | AWS-managed agent framework | Any framework (LangGraph, CrewAI, custom) |
| Customization | Action groups, knowledge bases, guardrails | Full orchestration loop control |
| Ideal For | Standard agent use cases with managed infrastructure | Complex, custom agent architectures at scale |
| Security Model | IAM-based with managed guardrails | Isolated 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.
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